[{"name":"S2-2411273","title":"LS from ITU-T SG13: LS on consent of draft new Recommendation ITU-T Y.3186 (ex Y.IMT2020-DJLML) 'Requirements and framework for distributed joint learning to enable machine learning in future networks including IMT-2020'","source":"ITU-T SG13","contact":"Marco Carugi","contact-id":31658,"tdoctype":"LS in","for":"Information","abstract":"This liaison statement informs ITU-T SG2, ITU-T SG11, SA WG1 and SA WG2 about the consent of new draft Recommendation ITU-T Y.3186 (formerly Y.IMT2020-DJLML) 'Requirements and framework for distributed joint learning to enable machine learning in future networks including IMT-2020'.","secretary_remarks":"Revision of postponed S2-2409564 from SA WG2#165. Postponed","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23440,"status":"postponed","reservation_date":"2024-10-25 13:46:53","uploaded":"2024-10-25 13:52:50","revisionof":"S2-2409564","revisedto":"","release":"","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"ITU-T SG2, SG11","Cc":"SA WG1, SA WG2","lsoriginalls":"SG13-LS170","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411273.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411276","title":"LS from RAN WG1: Reply LS on data collection to enable ML model training and inference in 5GC for Direct AI\/ML based positioning","source":"RAN WG1","contact":"Yufei Blankenship","contact-id":59257,"tdoctype":"LS in","for":"Action","abstract":"RAN WG1 thanks SA WG2 for the LS on data collection to enable ML model training and inference in 5GC for direct AI\/ML based positioning. RAN WG1 would like to provide the responses to the following questions in SA WG2 LS (S2-2405833) based on RAN WG1 progress up to RAN WG1#117 meeting. {. . .}. Furthermore, RAN WG1 would like to notify SA WG2 of the following: (a) RAN WG1 is still working on further details of training data collection and model inference of Case 3b and 2b. RAN WG1 may provide additional input to SA WG2 in the future. (b) For the related RAN work item (NR_AIML_air), Rel-19 WID (RP-240774) has assigned Case 3b 1st priority, and Case 2b 2nd priority. (c) Note: in RAN WG1 agreement, 'AI\/ML based positioning' by itself refers to all positioning cases, including Case 3b and 2b. (d) Note: the working assumptions and agreements above are based on RAN WG1 understanding for RAN work item (NR_AIML_air). Action: RAN WG1 respectfully asks SA WG2 to take the above into account in their future work.","secretary_remarks":"Revision of postponed S2-2409568 from SA WG2#165. Postponed","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23460,"status":"postponed","reservation_date":"2024-10-25 13:46:53","uploaded":"2024-10-25 13:52:50","revisionof":"S2-2409568","revisedto":"","release":"","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG2","Cc":"RAN WG2, RAN WG3","lsoriginalls":"R1-2405578","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411276.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411284","title":"LS from SA WG5: LS reply on terminology definitions for AI-ML in NG-RAN","source":"SA WG5","contact":"Hassan Al-kanani","contact-id":47274,"tdoctype":"LS in","for":"Information","abstract":"SA WG5 would like to thank RAN WG3 for their LS regarding the AI\/ML related terminologies. SA WG5 would like to inform RAN WG3 and RAN WG2 that SA WG5 has recently discussed and agreed further clarifications to the terminologies in TS 28.105. The corresponding approved CRs have now been reflected in the latest updated specifications in TS 28.105 v18.4.0. The updated terms and definitions clause is shown herewith for your convenience: {. . .}","secretary_remarks":"Revision of postponed S2-2409614 from SA WG2#165. Postponed","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23450,"status":"postponed","reservation_date":"2024-10-25 13:46:53","uploaded":"2024-10-25 13:52:50","revisionof":"S2-2409614","revisedto":"","release":"","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG2, RAN WG3","Cc":"SA WG6, SA WG2, TSG SA, RAN WG1, TSG RAN","lsoriginalls":"S5-244660","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411284.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411310","title":"LS from SA WG5: Reply LS on AIML Data Collection","source":"SA WG5","contact":"Sivaramakrishnan Swaminathan","contact-id":92909,"tdoctype":"LS in","for":"Information","abstract":"SA WG5 received LS from RAN on AIML data collection in S5-245373\/RP-242389. The LS provides an analysis of different data collection options for UE-side model training. SA WG5 thanks RAN for sharing the requirements for data collection. {. . .} Summary: 4-1. SA WG5 would like to ask RAN WG2 to clarify the below two questions for option 1b, 2 and 3. - Whether 'Server for data collection for UE-side model training' is controlled by operators. - What standardized data is to be collected. 4-2. The feasibility of the CP tunnel approach using MDT measurements discussed as part of option 3 is to be studied including RAN requirements of full controllability, full visibility and future-proofness. The feasibility of the UP tunnel indicated in option 3 between UE and OAM need to be studied including RAN requirements of full controllability, full visibility and future-proofness. 4-3. For option 1b and option 2, there may be management and control requirements for SA WG5. Therefore, SA WG5 should be involved in the discussion of option1b and option2.","secretary_remarks":"Postponed","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23230,"status":"postponed","reservation_date":"2024-10-25 13:46:54","uploaded":"2024-10-25 14:50:32","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG2","Cc":"TSG RAN, RAN WG1, RAN WG2, RAN WG3, TSG SA, SA WG2, SA WG3","lsoriginalls":"S5-246299","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411310.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411318","title":"[DRAFT] LS out on ML Model obtaining from OAM for AI Positioning","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"LS out","for":"Approval","abstract":"An LS out to ask about obtaining ML Model from OAM","secretary_remarks":"Revision of (unhandled) S2-2409637 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23480,"status":"not treated","reservation_date":"2024-10-29 08:54:18","uploaded":"2024-11-01 01:26:59","revisionof":"S2-2409637","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG5","Cc":"SA WG3","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411318.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411319","title":"AF initiated VFL training procedure","source":"[Nokia], ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify the intermediate result may contain gradient information or loss information. Modify the name of intermediate result sent from VFL client to VFL server to intermediate training result. Delete the EN: Editor's note: It is ffs whether the NWDAF as VFL client also uses the collected input data to update its model. The client can update the model using gradient or compute gradient using loss and no need to collect input data on this step. Modify the EN and delete following: if loss information and gradient information is contained in intermediate results is FFS. As we agreed in the NWDAF initiated VFL training procedure, the backward local model information or intermediate result contain loss information and gradient information. So we propose to add these two example and modify the EN. Modify the following: Editor's note: Terminology should be aligned related among VFL related descriptions, in particular related to intermediate results and VFL Model correlation ID. We agreed to use VFL correlation ID.","secretary_remarks":"Revision of (postponed) S2-2410677 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24200,"status":"not treated","reservation_date":"2024-10-29 08:54:18","uploaded":"2024-11-01 01:27:56","revisionof":"S2-2410677","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1235.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411319.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3.1(new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411321","title":"Terminology and high level description alignment of VFL","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce VFL related terminology definitions. Replace FL to HFL among TS 23.288 in Rel-19. Refine clause 5.3 and clause 5.4 to align with agreed NWDAF-initiated VFL training procedure and adding 2 notes. One EN deletion and add a note to clarify the situation. Editorial modification.","secretary_remarks":"Revised to S2-2411344","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23010,"status":"revised","reservation_date":"2024-10-29 08:54:25","uploaded":"2024-11-01 01:26:59","revisionof":"","revisedto":"S2-2411344","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1269.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411321.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"3.1, 3.2, 5.3, 5.4, 6.2A.0, 6.2A.1, 6.2A.3, 6.2C, 6.2C.1, 6.2C.2.1, 6.2C.2.2, 6.2C.2.3, 7.10.1, 7.10.2, 7.10.3, 7.10.4, 7.11.1, 7.11.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411334","title":"AIML_CN KI#4 SCP to support interation with NF and NWDAF","source":"SK Telecom, Huawei, HiSilicon","contact":"DongJin Lee","contact-id":65921,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: SCP to add support interation with NF and NWDAF.","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24490,"status":"not treated","reservation_date":"2024-10-31 04:33:17","uploaded":"2024-11-08 12:36:06","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5818.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411334.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411335","title":"Some corrections of the AIML_CN KI#4 Signalling Storm","source":"SK Telecom, Verizon, Samsung, AT&T, China Mobile, ETRI, KPN N.V., LG Uplus, Rakuten Mobile, ZTE, Huawei, HiSilicon, vivo, NTT DOCOMO, OPPO, Nokia, [China Telecom, Ericsson, Lenovo, KDDI]","contact":"DongJin Lee","contact-id":65921,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Removed OAM and MDAF\/MDAS from analytics consumer. Deleted some dulplicate information, clean ups including typos. Deleted Target indicent ID as it is represented in the Cause in the output analytics. Updated Target Analytics report to include SUPI\/GPSI range. Added NRF as the data source of NRF related information. Added time slot entry in the output and deleted bullet of the optional signaling information. Mentioned the SCP in the general description and the procedure description. Deleted EN of Additional Analytic Filter information. Missing parameters are added. Updated the 6.x.4.-1 Figure to be Visio-editable.","secretary_remarks":"Revision of (agreed) S2-2410976. Revised in parallel session to S2-2412439.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22880,"status":"revised","reservation_date":"2024-10-31 04:43:03","uploaded":"2024-11-08 12:36:06","revisionof":"S2-2410976","revisedto":"S2-2412439","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1104.0,"crrevision":9.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411335.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411341","title":"Enhancement to NRF s discovery and registration procedures to support VFL","source":"ICS, InterDigital, Futurewei, Nokia, [Ericsson]","contact":"Morteza Kheirkhah","contact-id":105251,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introducing VFL related supports in NRF. Introducing a new VFL capability type container. Updating existng FL to HFL.","secretary_remarks":"Revised in parallel session to S2-2412456, merging S2-2411617 and S2-2411377","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23040,"status":"revised","reservation_date":"2024-10-31 14:17:50","uploaded":"2024-11-08 18:16:28","revisionof":"","revisedto":"S2-2412456","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5124.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411341.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411342","title":"Refinements of NWDAF initiated VFL training procedure","source":"[China Mobile, CATT], ZTE, [OPPO, China Telecom, ETRI, Huawei, HiSilicon, Nokia, Futurewei, Samsung]","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Formatting corrections and editorial modifications. EN clean ups.","secretary_remarks":"Revision of (agreed) S2-2411194 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24130,"status":"not treated","reservation_date":"2024-01-11 06:59:59","uploaded":"2024-11-06 10:38:52","revisionof":"S2-2411194","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1134.0,"crrevision":10.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411342.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3.1(new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411343","title":"Discussion on termination of VFL training","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"discussion","for":"Agreement","abstract":"This discussion paper aims to solve 2 EN related to the VFL termination process.","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23910,"status":"not treated","reservation_date":"2024-01-11 07:00:01","uploaded":"2024-11-06 10:38:52","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411343.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411344","title":"High level description refinement of NWDAF initiated VFL training","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce 'label' definition. Refine clause 5.4 to align with agreed NWDAF-initiated VFL training procedure. One EN deletion and add a note to clarify the situation.","secretary_remarks":"Revision of S2-2411321. Revised in parallel session to S2-2412455.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23020,"status":"revised","reservation_date":"2024-01-11 08:15:48","uploaded":"2024-11-06 10:38:52","revisionof":"S2-2411321","revisedto":"S2-2412455","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1269.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411344.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"3.1,  5.4,10.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411346","title":"General training procedure for Vertical Federated Learning between NWDAF(s) and AF(s)","source":"[China Mobile, CATT, ZTE, OPPO, China Telecom, ETRI, Huawei, HiSilicon, Nokia, Futurewei, Samsung], Apple","contact":"Sudeep M Vamanan","contact-id":103491,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding new clause for procedure of Vertical Federated Learning when NWDAF is acting as VFL server R11: For EN1: Added Step 4c in clause 6.2H.2.3.1 describing how the VFL server is notified of update of samples during a training procedure and clarified the actions VFL Server may take on a sample change. For EN2: Added a Note in clause 6.2H.2.3.1 that provisioning of initial local models for VFL clients may happen using methods outside the scope of 3GPP.","secretary_remarks":"Revision of (agreed) S2-2411194 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24140,"status":"not treated","reservation_date":"2024-03-11 20:53:11","uploaded":"2024-11-08 22:09:04","revisionof":"S2-2411194","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1134.0,"crrevision":11.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411346.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411362","title":"KI#1: New LMF DataCollection service","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: An LMF service that allows the MTLF to request input data to train models for LMF based positioning is introduced","secretary_remarks":"Revision of (unhandled) S2-2409862 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23780,"status":"not treated","reservation_date":"2024-04-11 18:21:47","uploaded":"2024-11-08 23:30:37","revisionof":"S2-2409862","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5665.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411362.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"7.2.16","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411363","title":"KI#1: Using New LMF DataCollection service to collect input data for model training","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: An NWDAF containing MTLF that trains AI\/ML positioning ML model to be used by the LMF subscribes to input data (i.e. location measurement related data) from LMF for ML model training or ML model performance monitoring for LMF-based AI\/ML Positioning using the Nlmf_DataExposure service defined in Clause 8.3.X of TS 23.273 and the procedures defined in Clause 6.X.4 of TS 23.273.","secretary_remarks":"Revised in parallel session to S2-2412457.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23690,"status":"revised","reservation_date":"2024-04-11 18:48:21","uploaded":"2024-11-08 23:30:37","revisionof":"","revisedto":"S2-2412457","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1271.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411363.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.2.1, new 6.2.2.X","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411364","title":"KI#1: Extending NWDAF description to cover model provisioning to LMF","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The NWDAF containing MTLF may train models to be used at the LMF for inference","secretary_remarks":"Revision of (unhandled) S2-2409863 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23790,"status":"not treated","reservation_date":"2024-04-11 21:01:01","uploaded":"2024-11-08 23:30:37","revisionof":"S2-2409863","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5507.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411364.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.18","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411365","title":"KI#1 AMF exposing RAN overload to LMF","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The AMF event exposure service is extended with an event to expose RAN overload","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23830,"status":"not treated","reservation_date":"2024-04-11 21:09:28","uploaded":"2024-11-08 23:30:37","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5126.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411365.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411366","title":"LMF enhancements for LMF-based AI\/ML Positioning","source":"[Huawei, HiSilicon, NTT DOCOMO,] Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce a new procedure of Location Measurement data collection from LMF for NWDAF side AI\/ML positioning ML model training. Define new LMF services for the data collection for NWDAF side AI\/ML positioning ML model training. Other enhancements based on conclusions for KI#1 in TR 23.700-84.","secretary_remarks":"Revision of (agreed) S2-2410978 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23520,"status":"not treated","reservation_date":"2024-04-11 21:20:12","uploaded":"2024-11-08 23:30:37","revisionof":"S2-2410978","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":574.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411366.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"4.3.X (new), 4.4.13, 6.X.4 (new), 8.3.1, 8.3.X (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411367","title":"Update on Data Collection by LMF procedure","source":"[Lenovo, Qualcomm, Huawei], Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The following clarifications are made: LMF may be triggered by NWDAF to collect data for training an AIML model for Direct AIML positioning Rev 1 includes changes from S2-2410673 - Clarify the interaction between AMF and LMF in step 2. - Clarify the procedure between LMF and UE in step 4.","secretary_remarks":"Revision of (agreed) S2-2411256 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23590,"status":"not treated","reservation_date":"2024-04-11 21:50:00","uploaded":"2024-11-08 23:30:37","revisionof":"S2-2411256","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":584.0,"crrevision":4.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411367.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411368","title":"KI#1 - Addressing Editor s Note: Procedure for Data Collection for AI\/ML based positioning from NG-RAN","source":"[Ericsson, Xiaomi,] Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"This contribution proposes to resolve EN on data collection from NG-RAN.","secretary_remarks":"Revision of (unhandled) S2-2411257 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23630,"status":"not treated","reservation_date":"2024-04-11 21:58:41","uploaded":"2024-11-08 23:30:37","revisionof":"S2-2411257","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":597.0,"crrevision":5.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411368.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411369","title":"[DRAFT] LS on Allignment regarding possible training LMF side LCS models via OAM","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"LS out","for":"Approval","abstract":"LS on Allignment regarding possible training LMF side LCS models via OAM","secretary_remarks":"Revision of (unhandled) S2-2409857 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23490,"status":"not treated","reservation_date":"2024-04-11 22:10:08","uploaded":"2024-11-08 23:30:37","revisionof":"S2-2409857","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG5","Cc":"RAN WG3","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411369.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411370","title":"KI#2: Proposals to address open issues for NWDAF discovery and selection for VFL.","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"discussion","for":"Discussion","abstract":"This contribution discusses open issues for NWDAF discovery and selection for VFL as identified by ENs. Related Changes are in S2-2411383.","secretary_remarks":"Revision of (unhandled) S2-2409924 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23920,"status":"not treated","reservation_date":"2024-04-11 22:15:59","uploaded":"2024-11-08 23:30:37","revisionof":"S2-2409924","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411370.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411371","title":"KI#2: VFL procedures with AF as server.","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"discussion","for":"Discussion","abstract":"This contribution discusses VFL procedures with AF as server. Related changes are proposed in S2-2411372.","secretary_remarks":"Revision of (unhandled) S2-2409927 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23930,"status":"not treated","reservation_date":"2024-04-11 22:25:36","uploaded":"2024-11-08 23:30:37","revisionof":"S2-2409927","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411371.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411372","title":"KI#2: VFL procedures with AF as server","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: VFL procedures for model training and inference with with AF as server are documented. The following related principles are applied: A trusted AF as VFL server directly accesses NRF, select NWDAFs as VFL clients, and communicates with them directly without an intermediate NEF NEF selects VFL clients based on NRF entries and requirements provided by AF as VFL server, provides temporary IDs for those VFL clients to the AF, and proxies subsequent communication based on those IDs The AF as VFL server may be triggered by internal logic or a request received from an 5GC NF to perform a VFL inference procedure.","secretary_remarks":"Revision of (withdrawn) S2-2410993 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24290,"status":"not treated","reservation_date":"2024-04-11 22:34:26","uploaded":"2024-11-08 23:30:37","revisionof":"S2-2410993","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1235.0,"crrevision":4.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411372.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":false,"clauses_affected":"new 6.2H.2.3.1, new 6.2H.2.4.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411373","title":"KI#2: New Services for VFL.","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"discussion","for":"Discussion","abstract":"This contribution discusses new services to support VFL. Related changes are proposed in S2-2411374 and S2-2411375.","secretary_remarks":"Revision of (unhandled) S2-2409929 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23900,"status":"not treated","reservation_date":"2024-04-11 22:44:24","uploaded":"2024-11-08 23:30:37","revisionof":"S2-2409929","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411373.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411374","title":"KI#2: VFL services","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Define new services to support VFL","secretary_remarks":"Revised in parallel session to S2-2412435, merging S2-2411741","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22760,"status":"revised","reservation_date":"2024-04-11 22:53:17","uploaded":"2024-11-08 23:30:37","revisionof":"S2-2409930","revisedto":"S2-2412435","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1236.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411374.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411375","title":"KI#2: VFL services","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Define the following new services to support VFL: Nnwdaf_VflInference, Naf_VflTraining, Naf_VflInference, Nnef_VflTraining, Nnef_VflInference","secretary_remarks":"Revision of (unhandled) S2-2409931 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24350,"status":"not treated","reservation_date":"2024-04-11 22:59:46","uploaded":"2024-11-08 23:30:37","revisionof":"S2-2409931","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5676.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411375.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411376","title":"KI#2: VFL definitions","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Provide Definitions for Vertical Federated Learning Horizontal Federated Learning Vertical Federated Learning Client Vertical Federated Learning Training Server Label Horizontal Federated Learning Server Horizontal Federaed Learning Client","secretary_remarks":"Revision of (unhandled) S2-2409934 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24300,"status":"not treated","reservation_date":"2024-04-11 23:04:58","uploaded":"2024-11-08 23:30:37","revisionof":"S2-2409934","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1173.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411376.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411377","title":"KI#2: NRF extensions for VFL","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The term 'Federated Learning' is updated to 'Horizontal Federated Learning' and 'FL' to 'HFL' Extensions to NRF is added to allow registration and discovery of NWDAF, NEF, and AF as VFL server or client","secretary_remarks":"Revision of (unhandled) S2-2409936. Merged into S2-2412456","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24370,"status":"merged","reservation_date":"2024-04-11 23:15:43","uploaded":"2024-11-08 23:30:37","revisionof":"S2-2409936","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":4971.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411377.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2.7.2.2, 5.2.7.2.5, 5.2.7.3.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411378","title":"KI#2 NEF extensions for VFL","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: NEF discovery and exposing NWDAF(s) NEF enables VFL related informaiton exchane.","secretary_remarks":"Revision of (unhandled) S2-2409937 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24360,"status":"not treated","reservation_date":"2024-04-11 23:22:23","uploaded":"2024-11-08 23:30:37","revisionof":"S2-2409937","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5598.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411378.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.5.0","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411379","title":"KI#2: Updating FL to HFL","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Change FL to HFL, Federated Learning to Horizontal Federaed learning","secretary_remarks":"Revision of (unhandled) S2-2409938. Revised to S2-2412353","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24310,"status":"revised","reservation_date":"2024-04-11 23:25:57","uploaded":"2024-11-08 23:30:37","revisionof":"S2-2409938","revisedto":"S2-2412353","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1175.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411379.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411380","title":"KI#2 Update of VFL training and inference","source":"[Ericsson, Apple, ETRI, InterDigital], Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Changes in 5.4: 1) Added that Vertical Federated learning is a machine learning techinique working without exchanging\/sharing of local data set nor ML models 2) Editor's note: Support for AF acting as VFL server selecting multiple NWDAFs is FFS. Is solved by introducing: - An AF acting as VFL server discovers and selects VFL client(s) (NWDAF(s)) to participate in a VFL procedure. 3) Editor's note: Details regarding Sample alignment and features alignment functionality or whether the functionality needs to be specified are FFS. Is solved in procedure procedure for preparation phase Editor's note: For an NWDAF impacts of the split into AnLF and MTLF are FFS. are solved in procedure clauses, where NWDAFs being part of inference have earlier been part of training. 4) Adding where the procedures are described Changes in 6.2F.2: Clarifying that some parameters are needed for VFL. Changes in 6.2H Added Preparation procedure Alignments including Sample and feature alignment is done in this phase","secretary_remarks":"Revision of (postponed) S2-2410683 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24240,"status":"not treated","reservation_date":"2024-04-11 23:33:01","uploaded":"2024-11-08 23:30:37","revisionof":"S2-2410683","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1246.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411380.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411381","title":"Update the general inference procedure for vertical federated learning to resolve ENs","source":"[OPPO, ZTE, Samsung,] Nokia [, Lenovo, Toyota, ICS, Huawei, HiSilicon, Ericsson]","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Several ENs are resolved for the VFL inference procedure. Parameter from Analytics subscription such as analytics target and analytics filer is added in the request send from the VFL server to the VFL client and in related replies. The VFL model correlation ID is added when then VFL client send the VFL inference result to the VFL server.","secretary_remarks":"Revision of (agreed) S2-2411192 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23980,"status":"not treated","reservation_date":"2024-05-11 00:25:22","uploaded":"2024-11-08 23:30:37","revisionof":"S2-2411192","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1208.0,"crrevision":4.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411381.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411382","title":"Training procedure for Vertical Federated Learning with NWDAF(s) as server","source":"[China Mobile, CATT, ZTE, OPPO, China Telecom, ETRI, Huawei, HiSilicon,] Nokia [, Futurewei, Samsung]","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding new clause for procedure of Vertical Federated Learning when NWDAF is acting as VFL server","secretary_remarks":"Revision of (agreed) S2-2411194 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24150,"status":"not treated","reservation_date":"2024-05-11 00:34:22","uploaded":"2024-11-08 23:30:37","revisionof":"S2-2411194","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1134.0,"crrevision":12.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411382.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411383","title":"NWDAF and AF Discovery and Selection for VFL","source":"[Vivo, ICS, LG Electronics, InterDigital, ZTE, OPPO,] Nokia [, Samsung]","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Modify the existing teminology from FL to HFL; Refine the HFL capability information; Refine the VFL capablity information for NWDAF Add VFL capablity information for AF; Add VFL capability information registration for untrused AF via NEF. Complete the general discovery procedure for VFL process with the case that the AF as the VFL server.","secretary_remarks":"Revision of (agreed) S2-2411193 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24050,"status":"not treated","reservation_date":"2024-05-11 00:42:49","uploaded":"2024-11-08 23:30:37","revisionof":"S2-2411193","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1198.0,"crrevision":4.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411383.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411384","title":"VFL support during the discovery of NWDAF, NEF, and AF instances","source":"[ICS, InterDigital, Futurewei, Ericsson,] Nokia [, Huawei, LG Electronics, KDDI, ETRI, NTT DOCOMO, MediaTek Inc., Lenovo, BT, Samsung, OPPO, ZTE, Vivo]","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 6.3.13 includes VFL-related parameters 6.3.25 includes an indication that AF can be discovered based on the VFL capability 6.2.6.2 includes some information regarding VFL in the NF profile","secretary_remarks":"Revision of (agreed) S2-2410996. Revised in parallel session to S2-2412434.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22690,"status":"revised","reservation_date":"2024-05-11 00:59:51","uploaded":"2024-11-08 23:30:37","revisionof":"S2-2410996","revisedto":"S2-2412434","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5630.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411384.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411385","title":"Support of QoS and policy assistance analytics","source":"[Samsung, China Mobile, Ericsson, ETRI, ICS, InterDigital Inc., MediaTek Inc, NTT DOCOMO, OPPO, SK Telecom, Tencent, Tencent Cloud, vivo], Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce a new NWDAF-based QoS and Policy Assistance Analytics ID to support QoS and policy enhancement based on concluded Principle 1 for KI#3.","secretary_remarks":"Revision of (revised and postponed) S2-2410666 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24430,"status":"not treated","reservation_date":"2024-05-11 01:07:10","uploaded":"2024-11-08 23:30:37","revisionof":"S2-2410666","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1132.0,"crrevision":6.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411385.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.x (new), 6.x.1 (new), 6.x.2 (new), 7.1, 7.2.2, 7.3.2  ","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411386","title":"Support of QoS and policy assistance analytics","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Update TS23.503 for the 'QoS and policy assistance analytics'","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24390,"status":"not treated","reservation_date":"2024-05-11 01:23:54","uploaded":"2024-11-08 23:30:37","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.503","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1427.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411386.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.1.1.3, 6.2.1.1.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411387","title":"KI#4 impacts: Example mitigation actions and SCP event exposure","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Define SCP Event Exposure service to enable SCP to help detecting a signaling storm SMF and AMF can take mitigation actions based on a subscription to signalling storm analytics. The SCP may subscribe at the NWDAF for analytics related to abnormal network behavior, signaling storm, or NF load, and then obtain related information from the NWDAF as specified in TS 23.288. The SCP selects the target NF service producer and may take the analytics information obtained from the NWDAF into consideration for that selection; the SCP can select target NF service producers displaying no abnormal behavior or reject request with appropriate error information. The SCP may include information related to abnormal network behavior in signalling it forwards to NF service producer or NF consumer to enable them to take mitigation actions. The SCP can also updates its profile at the NRF to indicate that certain NF sets or SCP domains are no longer reachable through the SCP.","secretary_remarks":"Revision of (unhandled) S2-2409939. Merged into S2-2412443","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23130,"status":"merged","reservation_date":"2024-05-11 01:32:42","uploaded":"2024-11-08 23:30:37","revisionof":"S2-2409939","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":4839.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411387.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411388","title":"KI#4: Event Exposure by SCP.","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"discussion","for":"Discussion","abstract":"This contribution discusses whether an SCP can provide event exposure to help with the detection of signalling storms. Related changes are proposed in S2-2411389 and S2-2411390","secretary_remarks":"Revision of (unhandled) S2-2409941 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24500,"status":"not treated","reservation_date":"2024-05-11 01:37:36","uploaded":"2024-11-08 23:30:37","revisionof":"S2-2409941","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411388.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411390","title":"KI#4: SCP Event Exposure to detect signaling storm and mitigation actions for signalling storm caused by UE signalling triggered by Analytics","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 1. Define SCP Event Exposure service to enable SCP to help detecting a signaling storm 2. AMF and SMFs can subscribe at the NWDAF for Signalling Storm Analytics to obtain information about signalling storms caused by excessive UE or NF signalling and can decide to take mitigations actions as described in the Clause 5.19 based on the received analytics information.","secretary_remarks":"Revision of (unhandled) S2-2409943 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24500,"status":"not treated","reservation_date":"2024-05-11 01:47:22","uploaded":"2024-11-08 23:30:37","revisionof":"S2-2409943","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5677.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411390.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411400","title":"Adding new service consumer for AIML based positioning","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add LMF as the consumer of Nnwdaf_MLModelMonitor_Register service operation.","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23750,"status":"not treated","reservation_date":"2024-05-11 09:59:14","uploaded":"2024-11-06 01:20:20","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1272.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411400.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"7.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411426","title":"SCP consumes new analytics for signaling storm mitigation","source":"Oracle","contact":"Uri Baniel","contact-id":58644,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Describe in 23.501 how SCP can leverage signaling storm analytics as well as how it can support it as a producer.","secretary_remarks":"Merged into S2-2412444","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23140,"status":"merged","reservation_date":"2024-05-11 16:30:08","uploaded":"2024-11-07 23:45:31","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5823.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411426.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.21.3, 6.2.6.3, 6.2.19, 6.3.16, 7.2.X","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411432","title":"New analytics ID to support Signalling storm Mitigation and Prevention","source":"[SK Telecom, Samsung, Verizon, AT&T, China Mobile, ETRI, KPN N.V., LG Uplus, Rakuten Mobile, ZTE, China Telecom, Nokia, Ericsson, Lenovo, OPPO, NTT DOCOMO, Huawei, HiSilicon, KDDI, vivo], Oracle","contact":"Uri Baniel","contact-id":58644,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce a new Analytics ID for the prevention of abnormal NF behaviour causing signalling storm and mitigation of its impact in the network use case in the TS 23.288.","secretary_remarks":"Revision of (agreed) S2-2410976 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24470,"status":"not treated","reservation_date":"2024-05-11 21:33:56","uploaded":"2024-11-07 23:15:59","revisionof":"S2-2410976","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1104.0,"crrevision":10.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411432.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411455","title":"LS from TSG RAN: LS on AIML data collection","source":"TSG RAN","contact":"Diana Pani","contact-id":83914,"tdoctype":"LS in","for":"Action","abstract":"RAN WG2 agreements on UE side data collection RAN WG2 has discussed the topic of UE side data collection for UE-side model training and agreed on a TP for TR 38.843 captured in the annex of this LS. The table below captures the solutions identified and analyzed in RAN WG2. These options are all under consideration in RAN and input from SA is needed by RAN#106 \/Dec 2024 when RAN expects to make a decision on how to progress on this topic. {. .} The standardized solutions for data collection (if standardized) need to meet the requirements above. TSG RAN kindly asks TSG SA to initiate the work and at least for SA WG2 to provide inputs on solutions 1b, 2, and 3 by RAN#106. Action: TSG RAN kindly asks TSG SA to initiate the work and at least for SA WG2 to provide inputs on solutions 1b, 2, and 3 by RAN#106.","secretary_remarks":"Revision of S2-2409600 (Replied to at SA2#165). Responses drafted in S2-2411515, S2-2411558, S2-2411647, S2-2411716, S2-2411752, S2-2412184, S2-2412312. Final response in S2-2412726.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23220,"status":"replied to","reservation_date":"2024-06-11 08:20:34","uploaded":"2024-11-06 08:24:04","revisionof":"S2-2409600","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"TSG SA, SA WG2, SA WG3, SA WG5","Cc":"RAN WG1, RAN WG2, RAN WG3","lsoriginalls":"RP-242389","lsreply":"S2-2412726, S2-2412726","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411455.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411462","title":"23.288 : Accuracy monitoring for QoS and Policy Assistance Analytics","source":"ETRI, Samsung, SK Telecom","contact":"ChangSik Lee","contact-id":95981,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add an indication of which set of candidate QoS parameters has been used to the action in the Analytics Feedback Information. Include QoS parameter set(s) as an optional input for Analytics Accuracy Information Request NWDAF collects additional information on the used QoS parameters for accuracy monitoring of QoS and Policy Assistance Analytics Add descriptions indicating that the NWDAF needs to verify whether the used QoS parameters align with those in the analytics outputs.","secretary_remarks":"Postponed in parallel session","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23120,"status":"postponed","reservation_date":"2024-06-11 08:49:31","uploaded":"2024-11-08 08:09:10","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1273.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411462.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.1.3, 6.2D.1, 6.2D.2, 6.2D.3, 6.2E.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411468","title":"[DRAFT] LS on User Privacy Aspects of LMF-based AI\/ML Positioning","source":"Apple","contact":"David Gutierrez Estevez","contact-id":108111,"tdoctype":"LS out","for":"Approval","abstract":"LS on User Privacy Aspects of LMF-based AI\/ML positioning","secretary_remarks":"Revised in parallel session to S2-2412440.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22900,"status":"revised","reservation_date":"2024-06-11 15:58:23","uploaded":"2024-11-08 18:12:39","revisionof":"","revisedto":"S2-2412440","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG3","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411468.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411509","title":"Update to model provisioning for LMF-based AIML positioning","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove the EN on whether or not to include positioning case information in NWDAF profile. Clarify the input parameters for ML model provisioning for LMF-based AIML positioning. Clarify that the MTLF collects input data from the LMF for ML model training for LMF-based AIML positioning. Editorial modifications, e.g. on ML model provisioning procedures.","secretary_remarks":"Revised in parallel session to S2-2412441.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22960,"status":"revised","reservation_date":"2024-07-11 02:40:44","uploaded":"2024-11-08 09:21:32","revisionof":"","revisedto":"S2-2412441","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1275.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411509.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.1, 5.2, 6.2A.1, 6.2A.2, 6.2A.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411510","title":"[DRAFT] LS on model provisioning by OAM for LMF-based AI\/ML positioning","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"LS out","for":"Approval","abstract":"Draft LS on the possibility\/related issue of model provisioning by OAM for LMF-based AI\/ML positioning.","secretary_remarks":"Revision of (unhandled) S2-2410264 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23470,"status":"not treated","reservation_date":"2024-07-11 02:40:45","uploaded":"2024-11-08 09:21:32","revisionof":"S2-2410264","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG5, SA WG3","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411510.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411511","title":"NWDAF assisted QoS policy generation","source":"CATT, China Mobile, China Telecom","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the description and procedure that the NWDAF generates QoS policy assistance information analytics based on PCF request.","secretary_remarks":"Revision of (unhandled) S2-2410265 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24400,"status":"not treated","reservation_date":"2024-07-11 02:40:45","uploaded":"2024-11-08 09:21:32","revisionof":"S2-2410265","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1101.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411511.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.x (new), 6.x.1 (new), 6.x.2 (new), 6.x.3 (new), 6.x.4 (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411512","title":"Support of QoS policy assistance information analytics","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Modify the content of analytics exposure to support QoS policy assistance information analytics. Add QoS policy assistance information analytics specific parameters to the input parameters for ML model provisioning. Modify NWDAF services to support QoS policy assistance information analytics and ML model provisioning.","secretary_remarks":"Revision of (unhandled) S2-2410266 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24410,"status":"not treated","reservation_date":"2024-07-11 02:40:46","uploaded":"2024-11-08 09:21:32","revisionof":"S2-2410266","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1255.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411512.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.1.3, 6.2A.2, 7.2.2, 7.3.2, 7.5.2, 7.6.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411513","title":"Policy decisions based on QoS policy assistance information analytics","source":"CATT, China Mobile, China Telecom, OPPO, Tencent, vivo","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add descriptions on how the PCF makes policy decisions based on the QoS policy assistance information analytics.","secretary_remarks":"Revision of (unhandled) S2-2410267 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24420,"status":"not treated","reservation_date":"2024-07-11 02:40:47","uploaded":"2024-11-08 09:21:32","revisionof":"S2-2410267","revisedto":"","release":"Rel-19","crspec":"23.503","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1311.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411513.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.1.1.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411514","title":"Discussion on UE-side AIML data collection.","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"discussion","for":"Discussion","abstract":"This paper presents a discussion on solutions of UE-side data collection for UE-side model training related to LS RP-242389 from RAN TSG.","secretary_remarks":"Revision of (unhandled) S2-2410268 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23380,"status":"not treated","reservation_date":"2024-07-11 02:40:47","uploaded":"2024-11-08 09:21:32","revisionof":"S2-2410268","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411514.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411515","title":"[DRAFT] Reply LS on AIML data collection","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"LS out","for":"Approval","abstract":"Draft reply LS to TSG RAN on data collection from the UE for UE-side model training.","secretary_remarks":"Response to S2-2411455 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23280,"status":"not treated","reservation_date":"2024-07-11 02:40:47","uploaded":"2024-11-08 09:21:32","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"TSG RAN","Cc":"RAN WG1, RAN WG2, RAN WG3, SA WG3, SA WG4, SA WG5","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411515.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411517","title":"23.501 KI#1 and KI#2 alignment","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add agreed VFL capability of AF and NWDAF to be registered NRF. Add agreed functionality of AF and NWDAF for VFL. Add agreed service operation of LMF. Add agreed functionality of NEF. Modify FL sever\/client to HFL server and client.","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23800,"status":"not treated","reservation_date":"2024-07-11 02:56:53","uploaded":"2024-11-07 03:02:48","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5831.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411517.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.6.2, 6.2.5.0, 6.2.10, 6.2.18, 7.2.16","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411546","title":"Discussion solution options on AIML data collection.","source":"Qualcomm Incorporated","contact":"Juan Zhang","contact-id":73274,"tdoctype":"discussion","for":"Discussion","abstract":"This contribution discusses the feasibility of different options listed in RAN table to support UE data collection for UE-side model training.","secretary_remarks":"Revision of (unhandled) S2-2410137 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23390,"status":"not treated","reservation_date":"2024-07-11 09:32:45","uploaded":"2024-11-08 05:58:43","revisionof":"S2-2410137","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"NR_AIML_air"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411546.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411549","title":"Addressing the EN about model provision for AI positioning","source":"Vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Address the ENs on how MTLF indicates supporting model training for the LMF-based AI\/ML positioning. use a service identifier or an indication of supporting ML Model training for LMF-based AI\/ML Positioning","secretary_remarks":"Revision of (agreed) S2-2410997. Revised in parallel session to S2-2412427.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22420,"status":"revised","reservation_date":"2024-07-11 09:43:30","uploaded":"2024-11-08 10:41:30","revisionof":"S2-2410997","revisedto":"S2-2412427","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1196.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411549.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 6.2A.1. 6.2A.2, 6.2A.3, 7.5.2, 7.5.4,7.6.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411550","title":"NWDAF collects data from LCS to train ML model for AI positioning","source":"vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: NWDAF collects positioning data directly from LMF in order to train ML model for AI positioning. LMF can be the consumer of ADRF Data Management service.","secretary_remarks":"Revision of (unhandled) S2-2409684. Revised in parallel session to S2-2412458.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23710,"status":"revised","reservation_date":"2024-07-11 09:43:31","uploaded":"2024-11-08 10:42:14","revisionof":"S2-2409684","revisedto":"S2-2412458","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1201.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411550.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2B.1, 6.2.12.1, 6.2.12.2, 10.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411551","title":"NWDAF model provision for AI positioning","source":"vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The factor of supporting model training for LMF-based AI\/ML Positioning is considered in NWDAF discovery and selection.","secretary_remarks":"Revision of (unhandled) S2-2409676 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23810,"status":"not treated","reservation_date":"2024-07-11 09:43:32","uploaded":"2024-11-08 10:42:14","revisionof":"S2-2409676","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5635.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411551.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.6.2, 6.2.18, 6.3.13","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411552","title":"NWDAF registration and discovery via NRF for AI positioning","source":"vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The factor of supporting model training for LMF-based AI\/ML Positioning is considered in NWDAF discovery and selection.","secretary_remarks":"Revision of (unhandled) S2-2409677 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23840,"status":"not treated","reservation_date":"2024-07-11 09:43:32","uploaded":"2024-11-08 10:42:14","revisionof":"S2-2409677","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5011.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411552.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2.7.2.2, 5.2.7.2.5, 5.2.7.3.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411553","title":"Discussion on NEF's role in VFL","source":"vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"discussion","for":"Discussion","abstract":"Discussion on NEF's role in VFL","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23850,"status":"not treated","reservation_date":"2024-07-11 09:43:34","uploaded":"2024-11-08 10:42:14","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411553.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411554","title":"Refinements for VFL feature","source":"vivo, [ICS, LG Electronics, InterDigital, ZTE, OPPO, Nokia, Samsung]","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Modify the existing teminology from FL to HFL; Refine the HFL capability information; Refine the VFL capablity information for NWDAF Add VFL capablity information for AF; Add VFL capability information registration for untrused AF via NEF. Complete the general discovery procedure for VFL process with the case that the AF as the VFL server.","secretary_remarks":"Revision of (agreed) S2-2411193. Revised in parallel session to S2-2412431.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22570,"status":"revised","reservation_date":"2024-07-11 09:43:34","uploaded":"2024-11-08 10:42:14","revisionof":"S2-2411193","revisedto":"S2-2412431","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1198.0,"crrevision":5.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411554.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411555","title":"General training procedure for Vertical Federated Learning between NWDAF(s) and AF(s)","source":"[China Mobile, CATT, ZTE, OPPO, China Telecom, ETRI, Huawei, HiSilicon, Nokia, Futurewei, Samsung], vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding new clause for procedure of Vertical Federated Learning when NWDAF is acting as VFL server","secretary_remarks":"Revision of (agreed) S2-2411194 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24160,"status":"not treated","reservation_date":"2024-07-11 09:43:34","uploaded":"2024-11-08 10:42:14","revisionof":"S2-2411194","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1134.0,"crrevision":13.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411555+.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3 (new), 6.2H.2.3.1 (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411556","title":"KI#2 Update of VFL training and inference","source":"[Ericsson, Apple, ETRI, InterDigital], vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Changes in 5.4: 1) Added that Vertical Federated learning is a machine learning techinique working without exchanging\/sharing of local data set nor ML models 2) Editor's note: Support for AF acting as VFL server selecting multiple NWDAFs is FFS. Is solved by introducing: - An AF acting as VFL server discovers and selects VFL client(s) (NWDAF(s)) to participate in a VFL procedure. 3) Editor's note: Details regarding Sample alignment and features alignment functionality or whether the functionality needs to be specified are FFS. Is solved in procedure procedure for preparation phase Editor's note: For an NWDAF impacts of the split into AnLF and MTLF are FFS. are solved in procedure clauses, where NWDAFs being part of inference have earlier been part of training. 4) Adding where the procedures are described Changes in 6.2F.2: Clarifying that some parameters are needed for VFL. Changes in 6.2H Added Preparation procedure Alignments including Sample and feature alignment is done in this phase","secretary_remarks":"Revision of (postponed) S2-2410683 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24250,"status":"not treated","reservation_date":"2024-07-11 09:43:35","uploaded":"2024-11-08 10:42:14","revisionof":"S2-2410683","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1246.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411556.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":" 6.2H.2, 6.2H.2.0, 6.2H.2.1, 6.2H.2.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411557","title":"Registration and discovery for VFL entity","source":"vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: This paper enhances NRF services to support Vertical Federated Learning registration and discovery in TS 23.502.","secretary_remarks":"Revision of (unhandled) S2-2409686 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24380,"status":"not treated","reservation_date":"2024-07-11 09:43:36","uploaded":"2024-11-08 10:42:14","revisionof":"S2-2409686","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5012.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411557.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2.7.2.2, 5.2.7.2.5, 5.2.7.3.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411558","title":"[DRAFT] Reply LS on AIML data collection","source":"QWCT","contact":"Juan Zhang","contact-id":73274,"tdoctype":"LS out","for":"Approval","abstract":"Reply LS on AIML data collection","secretary_remarks":"Revision of (unhandled) S2-2410138. Response to S2-2411455 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23290,"status":"not treated","reservation_date":"2024-07-11 09:53:50","uploaded":"2024-11-08 05:58:43","revisionof":"S2-2410138","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"NR_AIML_air"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"TSG SA, TSG RAN","Cc":"SA WG3, SA WG5, RAN WG1, RAN WG2, RAN WG3","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411558.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411559","title":"Update on Data Collection by LMF procedure","source":"Qualcomm Incorporated, [Lenovo, Huawei]","contact":"Juan Zhang","contact-id":73274,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The following clarifications are made: LMF may be triggered by NWDAF to collect data for training an AIML model for Direct AIML positioning Rev 1 includes changes from S2-2410673 - Clarify the interaction between AMF and LMF in step 2. - Clarify the procedure between LMF and UE in step 4. For SA WG2#166: Add the AMF discovery procedure as new step 1a and 1b. LMF provides the minimum number of UE to AMF in the Namf_EventExposure_Subscriber_Request in the new step 2. AMF may provide a cause to LMF if not enough available UE in the area of interest in the new step 3. Remove one of the EN in step 5 in clause 6.x.2. Add a new trigger that UE may cance the data collection procedure in clause 6.3.2.","secretary_remarks":"Revision of (agreed) S2-2411256 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23600,"status":"not treated","reservation_date":"2024-07-11 09:57:08","uploaded":"2024-11-08 05:58:43","revisionof":"S2-2411256","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":584.0,"crrevision":5.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411559.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411560","title":"High-level description for Vertical Federated Learning when AF is as Server.","source":"KDDI, Ericsson, ZTE, ICS, OPPO?, ETRI?","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 5.4 is modified to resolve some Editor Notes. Change of the sample in the VFL procedure is not supported in this release. Editor's Note: Whether and how change of samples during a VFL training is supported is FFS. Terminology is aligned. Editor's note: Terminology will be aligned to clause 6.2H.2 in future meeting. The detailed references are added. Editor's note: Detailed references to clause 6.2H.2 will be added in future meeting. The ENs are modified to 'Editor's note: If additional functionality is specified in clause 6.2H, the reference to the corresponding clause will be added'. If the functionality is specified, the feature alignment, accuracy monitoring, and\/or any other additional functionality will be detailed in clause 6.2H. In the case, only the reference will be documented in clause 5.4. Editor's note: Details regarding features alignment functionality or whether the functionality needs to be specified are FFS. And Editor's note: Whether and how to provide initial model from VFL server to VFL clients based on VFL client request is FFS. And Editor's note: Accuracy monitoring in VFL when VFL server is NWDAF is FFS. In this release, when NWDAF is acting as VFL server or VFL client, the NWDAF is assumed to be containing both AnLF and MTLF. Editor's note: For an NWDAF impacts of the split into AnLF and MTLF are FFS.","secretary_remarks":"Revision of (agreed) S2-2411195. Confirm Sources! Revised in parallel session to S2-2412433.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22660,"status":"revised","reservation_date":"2024-07-11 10:11:49","uploaded":"2024-11-07 14:29:00","revisionof":"S2-2411195","revisedto":"S2-2412433","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1161.0,"crrevision":5.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411560.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411561","title":"Discussion on AIML data collection.","source":"Samsung","contact":"Hyesung Kim","contact-id":83054,"tdoctype":"discussion","for":"Approval","abstract":"This contribution provides discussion on the AIML data collection options in RP-242389 from SA WG2 perspective.","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23400,"status":"not treated","reservation_date":"2024-07-11 10:13:49","uploaded":"2024-11-08 10:54:32","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411561.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411563","title":"Addressing the EN about model provision for AI positioning","source":"Qualcomm Incorporated, [Vivo]","contact":"Juan Zhang","contact-id":73274,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Address the ENs on how MTLF indicates supporting model training for the LMF-based AI\/ML positioning. use a service identifier or an indication of supporting ML Model training for LMF-based AI\/ML Positioning SA WG2#166 meeting change the note to NOTE about stage 3 implent the indication for AI\/ML based positioning model training. Further clarify that the indication may further indicate to support the model training for case 2b or case 3b.","secretary_remarks":"Revision of (agreed) S2-2410997 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23580,"status":"not treated","reservation_date":"2024-07-11 10:30:03","uploaded":"2024-11-08 05:58:43","revisionof":"S2-2410997","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1196.0,"crrevision":4.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411563.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 6.2A.1. 6.2A.2, 6.2A.3, 7.5.2, 7.5.4,7.6.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411566","title":"Updates to support for UE positioning based on a ML Model at the LMF","source":"CEWiT","contact":"Abhijeet Masal","contact-id":71813,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The following clarifications are made: Clause 5.18 is categorized into three subclauses as 5.18.1 General, 5.18.2 Data collection and model training AI\/ML positioning 5.18.3 AI\/ML model performance monitoring for LMF-based AI\/ML Positioning Removal of Editor's Note. Provided further clarity for AI\/ML model monitoring in clause 5.18.3","secretary_remarks":"CR Number missing ! Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23760,"status":"not treated","reservation_date":"2024-07-11 11:59:40","uploaded":"2024-11-08 05:50:05","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":618.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411566.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411567","title":"Updates to the procedures of data collection for LMF-based AI\/ML Positioning","source":"CEWiT","contact":"Abhijeet Masal","contact-id":71813,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The changes are as follows: In 6.x.2 data collection trigger conditions are specified; thus the corresponding Editor note is removed. In 6.x.3 to align with the general representation of NF discovery and selection, the figure 6.x.3-1 is updated. Editorial corrections in multiple clauses.","secretary_remarks":"CR Number missing ! Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23680,"status":"not treated","reservation_date":"2024-07-11 12:03:06","uploaded":"2024-11-08 05:50:05","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":619.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411567.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411569","title":"KI#1 - Addressing Editor s Note: Procedure for Data Collection for AI\/ML based positioning from NG-RAN","source":"[Ericsson], Xiaomi, [Nokia]","contact":"Jianning(Carry) LIU","contact-id":88587,"tdoctype":"CR","for":"Approval","abstract":"This contribution proposes to resolve EN on data collection from NG-RAN.","secretary_remarks":"Revision of (agreed) S2-2411257 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23640,"status":"not treated","reservation_date":"2024-07-11 12:30:45","uploaded":"2024-11-08 11:50:15","revisionof":"S2-2411257","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":597.0,"crrevision":6.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411569.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18, 6.x.3 (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411580","title":"LMF enhancements for LMF-based AI\/ML Positioning","source":"Xiaomi, [Huawei], [HiSilicon], [NTT DOCOMO, [Nokia]","contact":"Jianning(Carry) LIU","contact-id":88587,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce a new procedure of Location Measurement data collection from LMF for NWDAF side AI\/ML positioning ML model training. Define new LMF services for the data collection for NWDAF side AI\/ML positioning ML model training. Other enhancements based on conclusions for KI#1 in TR 23.700-84. Corrections: LMF-based AI\/ML positioning instead of AI\/ML positioning. Update NL8 to support LMF to receive the performance monitoring result from NWDAF Update 6.X.4 title and figure to generally describe data collection by NWDAF. Add standalone clause 5.18.X to describe the AI\/ML positioning model training by NWDAF and LMF. And clarify input data as ground truth data and UE measurements data. Replace 'data samples' by 'input data'","secretary_remarks":"Revision of (agreed) S2-2410978 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23530,"status":"not treated","reservation_date":"2024-07-11 12:39:46","uploaded":"2024-11-08 11:50:15","revisionof":"S2-2410978","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":574.0,"crrevision":4.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411580.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"4.3.X (new), 4.4.13, 6.X.4 (new), 8.3.1, 8.3.X (new); 5.18.X(new);","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411588","title":"Update on Data Collection by LMF procedure","source":"Xiaomi, [Lenovo], [Qualcomm], [Huawei]","contact":"Jianning(Carry) LIU","contact-id":88587,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The following clarifications are made: LMF may be triggered by NWDAF to collect data for training an AIML model for Direct AIML positioning Rev 1 includes changes from S2-2410673 - Clarify the interaction between AMF and LMF in step 2. - Clarify the procedure between LMF and UE in step 4. Rev 4: -Update title of 6.X.2 as 'Data collection on UE measurement by LMF'. -update the step1-2 in the figure. With full service operation name, e.g., Namf_EventExposure_Subscribe_Subscribe\/Notify; correct the user id as SUPI(s)","secretary_remarks":"Revision of (agreed) S2-2411256 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23610,"status":"not treated","reservation_date":"2024-07-11 12:40:28","uploaded":"2024-11-08 11:50:15","revisionof":"S2-2411256","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":584.0,"crrevision":7.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411588.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18.1, 6.X (new), 6.x.1 (new), 6.x.2 (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411590","title":"[DRAFT] LS on ML Model provisioning by OAM to LMF for UE positioning","source":"NTT DOCOMO","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"LS out","for":"Approval","abstract":"This is an LS to SA WG5 to clarify ML model provisioning by OAM to LMF","secretary_remarks":"Revision of (postponed) S2-2409965. Revised in parallel session to S2-2412442.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22960,"status":"revised","reservation_date":"2024-07-11 13:02:57","uploaded":"2024-11-08 12:45:25","revisionof":"S2-2409965","revisedto":"S2-2412442","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG5","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411590.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411612","title":"Vertical Federated Learning in TS 23.501","source":"KDDI","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Defines the functionality of NEF, NWDAF, and NRF to support Vertical Federated Learning.","secretary_remarks":"Revision of (unhandled) S2-2410324 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24230,"status":"not treated","reservation_date":"2024-07-11 14:11:59","uploaded":"2024-11-07 14:29:13","revisionof":"S2-2410324","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5533.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411612.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.5.0, 6.2.6.2, 6.2.18, 6.3.13","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411614","title":"Support of VFL model training with successive VFL client information sharing","source":"Samsung","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce procedure for VFL model training and inference with successive VFL client information sharing.","secretary_remarks":"Revision of (merged and agreed) S2-2410128. Merged into S2-2412432","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23080,"status":"merged","reservation_date":"2024-07-11 14:22:57","uploaded":"2024-11-08 16:17:44","revisionof":"S2-2410128","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1133.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411614.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3.1, 6.2H.2.4.1 ","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411615","title":"Preparation Procedure for Vertical Federated Learning","source":"Samsung","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce procedure for Vertical Federated Learning preparation.","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24280,"status":"not treated","reservation_date":"2024-07-11 14:24:28","uploaded":"2024-11-08 16:17:44","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1278.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411615.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.2 (new), 6.2H.2.2.0 (new), 6.2H.2.2.1 (new), 6.2H.2.2.2 (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411616","title":"Support of QoS and policy assistance analytics","source":"Samsung, China Mobile?, Ericsson?, ETRI, ICS?, InterDigital Inc., MediaTek Inc, NTT DOCOMO, OPPO?, SK Telecom, Tencent?, Tencent Cloud?, vivo, Nokia?","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce a new NWDAF-based QoS and Policy Assistance Analytics ID to support QoS and policy enhancement based on concluded Principle 1 for KI#3.","secretary_remarks":"Revision of (postponed) S2-2410975. Confirm Sources! Revised in parallel session to S2-2412437.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22800,"status":"revised","reservation_date":"2024-07-11 14:25:56","uploaded":"2024-11-08 16:17:44","revisionof":"S2-2410975","revisedto":"S2-2412437","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1132.0,"crrevision":7.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411616.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.x (new), 6.x.1 (new), 6.x.2 (new), 6.x.3 (new), 6.x.4 (new), 7.1, 7.2.2, 7.3.2  ","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411617","title":"Vertical Federated Learning in TS 23.502","source":"KDDI","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Defines the functionality of NRF to support Vertical Federated Learning.","secretary_remarks":"Revision of (unhandled) S2-2410322. Merged into S2-2412456","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23090,"status":"merged","reservation_date":"2024-07-11 14:26:21","uploaded":"2024-11-07 14:29:23","revisionof":"S2-2410322","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":4945.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411617.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2.7.2.2, 5.2.7.2.5","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411618","title":"Support for NWDAF-assisted policy control and QoS","source":"Samsung","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Enhancements to PCF to consider multiple analtyics IDs and\/or the candidate QoS parameters provided by the NWDAF that are valid within the same analytics target period for QoS and policy determination and modification.","secretary_remarks":"Revision of (unhandled) S2-2410131 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24440,"status":"not treated","reservation_date":"2024-07-11 14:27:19","uploaded":"2024-11-08 16:17:44","revisionof":"S2-2410131","revisedto":"","release":"Rel-19","crspec":"23.503","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1328.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411618.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.1.1.3, 6.2.1.1.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411619","title":"KI#1 - Addressing Editor s Note: Procedure for Data Collection for AI\/ML based positioning from NG-RAN","source":"[Ericsson, Xiaomi, Nokia] Apple","contact":"David Gutierrez Estevez","contact-id":108111,"tdoctype":"CR","for":"Approval","abstract":"This contribution proposes to update clause 5.18 with a description of inference for AIML positioning","secretary_remarks":"Revision of (agreed) S2-2411257. Confirm CR Revision - CR states 47! Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23650,"status":"not treated","reservation_date":"2024-07-11 14:27:47","uploaded":"2024-11-08 18:12:39","revisionof":"S2-2411257","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":597.0,"crrevision":7.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411619.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411620","title":"Enhancements to Analytics IDs to support QoS and policy","source":"Samsung, vivo, OPPO, SK Telecom, InterDigital Inc","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Statistics and predictions of gNB resource usage for non-GBR traffic are introduced as new outputs of Network Performance analytics. New inputs and outputs are introduced to QoS Sustainability analytics to support finer granularity analytics. Editorial changes.","secretary_remarks":"Revision of (unhandled) S2-2410132 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24450,"status":"not treated","reservation_date":"2024-07-11 14:27:53","uploaded":"2024-11-08 16:17:44","revisionof":"S2-2410132","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1131.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411620.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.6.3, 6.9.1, 6.9.2, 6.9.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411625","title":"High-level description for Vertical Federated Learning when AF is as Server.","source":"[KDDI, Ericsson, OPPO, ETRI, ICS], China Mobile","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 5.4 is modified to specify the high-level functionality for vertical federated learning between AF and NWDAFs when AF is VFL server.","secretary_remarks":"Revision of (agreed) S2-2411195. Merged into S2-2412433","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23100,"status":"merged","reservation_date":"2024-07-11 16:03:03","uploaded":"2024-11-08 15:00:54","revisionof":"S2-2411195","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1161.0,"crrevision":6.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411625.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411626","title":"General training procedure for Vertical Federated Learning between NWDAF(s) and AF(s)","source":"China Mobile, CATT, ZTE, OPPO, China Telecom, ETRI, Huawei, HiSilicon, Nokia, Futurewei, Samsung","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding new clause for procedure of Vertical Federated Learning when NWDAF is acting as VFL server Removed 3 ENs.","secretary_remarks":"Revision of (agreed) S2-2411194. Revised in parallel session to S2-2412432.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22610,"status":"revised","reservation_date":"2024-07-11 16:04:37","uploaded":"2024-11-08 15:00:54","revisionof":"S2-2411194","revisedto":"S2-2412432","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1134.0,"crrevision":14.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411626.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3 (new), 6.2H.2.3.1 (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411638","title":"KI#1 - Addressing Editor s Note: Procedure for Data Collection for AI\/ML based positioning from NG-RAN","source":"Ericsson, [Xiaomi, Nokia]","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Updates to CR on data collection from NG-RAN to include checking RAN load and retrieval of a AIML model from NWDAF","secretary_remarks":"Revision of (agreed) S2-2411257. Revised to S2-2412350","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23620,"status":"revised","reservation_date":"2024-07-11 16:37:15","uploaded":"2024-11-08 22:40:17","revisionof":"S2-2411257","revisedto":"S2-2412350","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":597.0,"crrevision":8.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411638.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411640","title":"Discussion on VFL item 3 and 4.","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"discussion","for":"Agreement","abstract":"In this paper item 3 and 4 in work plan is discussed","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23870,"status":"not treated","reservation_date":"2024-07-11 16:37:15","uploaded":"2024-11-08 22:40:17","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411640.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411641","title":"Refinements for VFL feature","source":"[Vivo, ICS, LG Electronics, InterDigital, ZTE, OPPO, Nokia, Samsung], Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Modify the existing teminology from FL to HFL; Refine the HFL capability information; Refine the VFL capablity information for NWDAF Add VFL capablity information for AF; Add VFL capability information registration for untrused AF via NEF. Complete the general discovery procedure for VFL process with the case that the AF as the VFL server. New in rev. 6 Remove trusted server and open up for having it in another clause Rewording the Temporary to external and adding following Note: NOTE x: how NEF determine the external NWDAF ID(s) are implementation specific Resolving the following EN: Editor's Note Whether AF as VFL server registers to NRF with VFL capability information is needed is FFS By adding VFL server capability as well as client Resolving following EN Editor's Note Whether a discovery of an AF acting as VFL server is required and how it can be done is FFS By adding the possibility to discover (Need to remove changes on changes before final upload at the meeting)","secretary_remarks":"Revision of (agreed) S2-2411193 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24060,"status":"not treated","reservation_date":"2024-07-11 16:37:15","uploaded":"2024-11-08 22:40:17","revisionof":"S2-2411193","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1198.0,"crrevision":6.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411641.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 5.X(new), 6.2H, 6.2H.1, 6.2H.2, 6.2H.2.1, 6.2H.2.1.1 (new), 6.2H.2.1.2 (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411642","title":"QoS and policy assistance information analytic","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce a new QoS and Policy Assistance Analytics Id in NWDAF to assist PCF in the determination and\/or modification of QoS parameters based on conclusions agreed in TR 23.700-84. In the output of the new analytic the NWDAF provides the expected QoE, and optionally NW performance and QoS sustainability associated to every candidate QoS parameters set provided by the PCF in the request.","secretary_remarks":"Revision of (unhandled) S2-2410003 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22850,"status":"not treated","reservation_date":"2024-07-11 16:37:16","uploaded":"2024-11-08 22:40:17","revisionof":"S2-2410003","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1097.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411642.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.x (New)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411643","title":"PCF use of QoS and policy assistance information analytic","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The PCF may send an analytics request or subscripton for new QoS and policy assistance information analytics Id to the NWDAF requesting to provide the QoE and optionally the NW performance and QoS sustainability associated to one or a list of candidate QoS parameter set(s). Then the PCF may take into account the information received for every candidate QoS parameters set to determine the final QoS parameters for an application or service flow, based on operator's policy.","secretary_remarks":"Revision of (unhandled) S2-2410004 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24460,"status":"not treated","reservation_date":"2024-07-11 16:37:17","uploaded":"2024-11-08 22:40:17","revisionof":"S2-2410004","revisedto":"","release":"Rel-19","crspec":"23.503","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1303.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411643.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.1.1.3, 6.2.1.1.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411644","title":"General training procedure for Vertical Federated Learning between NWDAF(s) and AF(s)","source":"[China Mobile, CATT, ZTE, OPPO, China Telecom, ETRI, Huawei, HiSilicon, Nokia, Futurewei, Samsung], Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding new clause for procedure of Vertical Federated Learning when NWDAF is acting as VFL server Changes in rev 15: Solves following EN: Editor's Note: Further extensions are needed to show the interaction between consumer and VFL server. For example, how the consumer (i.e., NWDAF containing AnLF) sends a subscription request to VFL server. Adds untrusted AF as server in new procedure Aligning with definition and other clauses and use the term Intermediate results. The name may be further discussed during meeting. Since the service names will be discussed in coming meeting, uses the generic service name Nnf_VFLOperation while adding a new EN: Editor's note: The service operation names used for VFL operations in the procedures below are FFS (The CR needs to be correctly formatted before final approval)","secretary_remarks":"Revision of (agreed) S2-2411194 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24170,"status":"not treated","reservation_date":"2024-07-11 16:37:17","uploaded":"2024-11-08 22:40:17","revisionof":"S2-2411194","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1134.0,"crrevision":15.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411644.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3 (new), 6.2H.2.3.1 (new) and 6.2H.2.3.2 (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411645","title":"Update the general inference procedure for vertical federated learning to resolve ENs","source":"[OPPO, ZTE, Samsung, Nokia, Lenovo, Toyota, ICS, Huawei, HiSilicon], Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Several ENs are resolved for the VFL inference procedure. Parameter from Analytics subscription such as analytics target and analytics filer is added in the request send from the VFL server to the VFL client and in related replies. The VFL model correlation ID is added when then VFL client send the VFL inference result to the VFL server.","secretary_remarks":"Revision of (agreed) S2-2411192 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23990,"status":"not treated","reservation_date":"2024-07-11 16:37:18","uploaded":"2024-11-08 22:40:17","revisionof":"S2-2411192","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1208.0,"crrevision":5.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411645.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2G, 6.2H.1, 6.2H.2.4(new), 6.2H.2.4.1 (new), 6.2H.2.4.2 (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411646","title":"KI#2 Update of VFL training and inference","source":"Ericsson, [Apple, ETRI, InterDigital, ICS, OPPO]","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Changes in 5.4: 1) Added that Vertical Federated learning is a machine learning techinique working without exchanging\/sharing of local data set nor ML models 2) Editor's note: Support for AF acting as VFL server selecting multiple NWDAFs is FFS. Is solved by introducing: - An AF acting as VFL server discovers and selects VFL client(s) (NWDAF(s)) to participate in a VFL procedure. 3) Editor's note: Details regarding Sample alignment and features alignment functionality or whether the functionality needs to be specified are FFS. Is solved in procedure procedure for preparation phase Editor's note: For an NWDAF impacts of the split into AnLF and MTLF are FFS. are solved in procedure clauses, where NWDAFs being part of inference have earlier been part of training. 4) Adding where the procedures are described Changes in 6.2F.2: Clarifying that some parameters are needed for VFL. Changes in rev.4 Solving parts of follwing EN Editor's note: Whether new information for interoperatbility when using VFL, such as the VFL Interoperability information, convergence reports or whether inference needs new indicators or not is FFS. Changes in 6.2H Added Preparation procedure Alignments including Sample and feature alignment is done in this phase Changes in rev.4 Solving the EN Editor s note: Clarifications which parameters are regarded as requirements and can be modified by the VFL client is required by adding that this info is given in 6.2H.2 The last part of Editor s note: It is ffs whether the VFL client can only reduce the requirements (e.g. samples) or also add new requirements. It is also ffs whether step 1 needs to be repeated if requirements have been reduced by the VFL client. Is solved, by adding that the decision is up to server (which might deem it to be necessary since it would like to change for all clients after receiviing first possible agreed requirements. Introduce External NWDAF ID, which replaces the discussed Temporary NWDAF ID. How NEF comes up with the External NWADF ID is implementation specifics. The External NWDAF ID is kept over long time including training and inference. See no need to introduce new flag so remove Editor's Note: Whether to extend the existing ML Preparation Flag for reuse or introduce a new flag dedicated for VFL preparation is FFS. Since the service names will be discussed in coming meeting, uses the generic service name Nnf_VFLOperation while adding a new EN: Editor's note: The service operation names used for VFL operations in the procedures below are FFS","secretary_remarks":"Revision of (postponed) S2-2410683. Revised in parallel session to S2-2412436.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22730,"status":"revised","reservation_date":"2024-07-11 16:37:19","uploaded":"2024-11-08 22:40:17","revisionof":"S2-2410683","revisedto":"S2-2412436","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1246.0,"crrevision":4.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411646.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"3.2, 5.4, 6.2C.1; 6.2F.2, 6.2H.1, 6.2H.2, 6.2H.2.1, 6.2H.2.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411647","title":"[DRAFT] Reply LS on AIML data collection","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"LS out","for":"Approval","abstract":"Draft LS reply on RAN LS on AIML data collection","secretary_remarks":"Response to S2-2411455 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23300,"status":"not treated","reservation_date":"2024-07-11 16:37:20","uploaded":"2024-11-08 22:40:17","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"NR_AIML_air"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"TSG RAN, TSG SA","Cc":"RAN WG1, RAN WG2, RAN WG3, SA WG3, SA WG5","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411647.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411671","title":"VFL issues 3 and 4","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"discussion","for":"Decision","abstract":"Shows companies view on issues 3 and 4 related to the VFL Server registration in NRF","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23860,"status":"not treated","reservation_date":"2024-07-11 16:52:19","uploaded":"2024-11-08 22:40:17","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411671.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411697","title":"KI#1 - Addressing Editor s Note: Procedure for Data Collection for AI\/ML based positioning from NG-RAN","source":"[Ericsson, Xiaomi, Nokia], InterDigital","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"This contribution proposes to resolve EN on data collection from NG-RAN.","secretary_remarks":"Revision of (agreed) S2-2411257. Confirm CR Revision - CR states 45! Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23660,"status":"not treated","reservation_date":"2024-07-11 18:42:37","uploaded":"2024-11-08 17:10:48","revisionof":"S2-2411257","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":597.0,"crrevision":9.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411697.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411698","title":"KI#4: 23.502 SCP Event Exposure to detect signaling storm","source":"Oracle","contact":"Uri Baniel","contact-id":58644,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Define SCP Event Exposure service to enable SCP to help NWDAF in detection of signalling storm","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24530,"status":"not treated","reservation_date":"2024-07-11 19:58:34","uploaded":"2024-11-07 22:57:53","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5143.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411698.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411716","title":"[DRAFT] Reply LS on AIML Data collection","source":"Apple","contact":"Sudeep M Vamanan","contact-id":103491,"tdoctype":"LS out","for":"Approval","abstract":"[DRAFT] Reply LS on AIML Data collection","secretary_remarks":"Response to S2-2411455 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23310,"status":"not treated","reservation_date":"2024-07-11 21:30:12","uploaded":"2024-11-08 22:09:04","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"TSG SA, TSG RAN","Cc":"RAN WG2, SA WG1, SA WG3, SA WG5","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411716.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411717","title":"UE Data Collection in 5GC for RAN AIML operation .","source":"Apple","contact":"Sudeep M Vamanan","contact-id":103491,"tdoctype":"discussion","for":"Agreement","abstract":"This discussion paper analyses the status of UE data collection discussion in SA WG2 and proposes a way forward.","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23410,"status":"not treated","reservation_date":"2024-07-11 21:31:53","uploaded":"2024-11-08 22:09:04","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411717.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411718","title":"LMF selection for AI\/ML based positioning","source":"InterDigital, Inc.","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: AIML capability is considered in LMF selection. And AIML-capable LMF is prioritized in LMF selection.","secretary_remarks":"Revision of (unhandled) S2-2410510. Confirm CR Revision - CR states -1! Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23770,"status":"not treated","reservation_date":"2024-07-11 21:32:42","uploaded":"2024-11-08 17:10:48","revisionof":"S2-2410510","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":600.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411718.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411728","title":"Refinements for VFL feature","source":"[Vivo, ICS], LG Electronics, [InterDigital, ZTE, OPPO, Nokia, Samsung]","contact":"Jaewoo Kim","contact-id":92249,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Modify the existing teminology from FL to HFL; Refine the HFL capability information; Refine the VFL capablity information for NWDAF Add VFL capablity information for AF; Add VFL capability information registration for untrused AF via NEF. Complete the general discovery procedure for VFL process with the case that the AF as the VFL server. Rev.7 Propose to use new service operation Nnef_NFDiscovery_Request for untrusted AF as server to discover the clients AF can indicate to remove the VFL Correlation ID\/temporary NWDAF IDs) and the related EN is updated to resolve removing the Temporary NWDAF ID case. Add caption for the figure 6.2H.2.1.2-1","secretary_remarks":"Revision of (agreed) S2-2411193 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24070,"status":"not treated","reservation_date":"2024-08-11 00:32:56","uploaded":"2024-11-08 10:17:45","revisionof":"S2-2411193","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1198.0,"crrevision":7.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411728.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 5.X(new), 6.2H, 6.2H.1, 6.2H.2, 6.2H.2.1, 6.2H.2.1.1 (new), 6.2H.2.1.2 (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411730","title":"KI#2: VFL training procedure when untrusted AF is acting as VFL server","source":"LG Electronics","contact":"Jaewoo Kim","contact-id":92249,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: - Adding new clause for training procedure of Vertical Federated Learning when AF is acting as VFL server. - Reuse existing ML Model training service operation for training NWDAF as VFL clients, and new NEF service operation is introduced between AF\/NEF. - AF may indicate to remove VFL Correlation ID","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24210,"status":"not treated","reservation_date":"2024-08-11 00:34:46","uploaded":"2024-11-08 10:17:45","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1279.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411730.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411731","title":"KI#2: VFL inference procedure when untrusted AF is acting as VFL server","source":"LG Electronics","contact":"Jaewoo Kim","contact-id":92249,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: - Adding new clause for inference procedure of Vertical Federated Learning when AF is acting as VFL server.","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24030,"status":"not treated","reservation_date":"2024-08-11 00:36:17","uploaded":"2024-11-08 10:17:45","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1280.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411731.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411741","title":"KI#2: NEF Service operation to discover VFL client","source":"LG Electronics","contact":"Jaewoo Kim","contact-id":92249,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: - New Nnef_NFDiscovery service operation is defined","secretary_remarks":"Merged into S2-2412435","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23110,"status":"merged","reservation_date":"2024-08-11 01:32:57","uploaded":"2024-11-08 10:17:45","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5147.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411741.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411752","title":"[DRAFT] Reply LS on AIML data collection","source":"Samsung","contact":"Hyesung Kim","contact-id":83054,"tdoctype":"LS out","for":"Approval","abstract":"[DRAFT] Reply LS on AIML data collection","secretary_remarks":"Response to S2-2411455 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23320,"status":"not treated","reservation_date":"2024-08-11 02:06:27","uploaded":"2024-11-08 10:54:32","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"TSG RAN","Cc":"RAN WG1, RAN WG2, RAN WG3, TSG SA, SA WG3, SA WG5","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411752.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411760","title":"General description on Signalling Storm","source":"China Telecom","contact":"Jiahui LI","contact-id":92933,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add general description on Signalling Storm to support network abnormal behavior mitigation and prevention. Add new content in NF profile to support NWDAF collect input data from NRF.","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24510,"status":"not treated","reservation_date":"2024-08-11 03:39:24","uploaded":"2024-11-08 14:12:52","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5841.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411760.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":" 5.19.1, 5.19.7.2, 6.2.6.1, 6.2.6.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411761","title":"Event exposure service enhancement to support signalling storm data collection","source":"China Telecom","contact":"Jiahui LI","contact-id":92933,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add signalling storm related input data as event exposure in Namf_EventExposure service; Add signalling storm related input data as evemt exposure in Npcf_EventExposure service. Add signalling storm related input data as event exposure in Nsmf_EventExposure service; Add signalling storm related input data as event exposure in Naf_EventExposure service; Add signalling storm related input data as NF status in Nnrf_NFManagement service.","secretary_remarks":"Revised in parallel session to S2-2412443.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23150,"status":"revised","reservation_date":"2024-08-11 03:39:24","uploaded":"2024-11-08 14:12:52","revisionof":"","revisedto":"S2-2412443","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5148.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411761.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":" 5.2.2.3.1, 5.2.5.7, 5.2.7.2.2, 5.2.7.2.5, 5.2.7.2.6, 5.2.8.3.1, 5.2.19.2.1, 5.2.19.2.2, 5.2.19.2.4, 5.2.19.2.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411762","title":"New analytics ID to support Signalling storm Mitigation and Prevention","source":"China Telecom, [SK Telecom, Samsung, Verizon, AT&T, China Mobile, ETRI, KPN N.V., LG Uplus, Rakuten Mobile, ZTE, Nokia, Ericsson, Lenovo, OPPO, NTT DOCOMO, Huawei, HiSilicon, KDDI, vivo]","contact":"Jiahui LI","contact-id":92933,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce a new Analytics ID for the prevention of abnormal NF behaviour causing signalling storm and mitigation of its impact in the network use case in the TS 23.288. SA WG2#166: Add OAM as one of consumers of Signalling Storm. Add SUPI range\/ GPSI range in reporting target. Clarification on how to collect input data from NF and NRF. Clarification on NWDAF using other Analytics ID as input data.","secretary_remarks":"Revision of (agreed) S2-2410976. Confirm CR Revision - CR states 118! Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24480,"status":"not treated","reservation_date":"2024-08-11 03:39:25","uploaded":"2024-11-08 14:12:52","revisionof":"S2-2410976","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1104.0,"crrevision":11.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411762.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411783","title":"LMF enhancements for LMF-based AI\/ML Positioning","source":"Huawei, HiSilicon, [NTT DOCOMO, Nokia]","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce a new procedure of Location Measurement data collection from LMF for NWDAF side AI\/ML positioning ML model training. Define new LMF services for the data collection for NWDAF side AI\/ML positioning ML model training. Other enhancements based on conclusions for KI#1 in TR 23.700-84.","secretary_remarks":"Revision of (agreed) S2-2410978. Revised in parallel session to S2-2412425.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22360,"status":"revised","reservation_date":"2024-08-11 05:34:51","uploaded":"2024-11-08 08:01:23","revisionof":"S2-2410978","revisedto":"S2-2412425","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":574.0,"crrevision":5.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411783.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"4.3.X (new), 4.4.13, 6.X.4 (new), 8.3.1, 8.3.X (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411784","title":"Data collection from LMF for LMF-based AIML Positioning","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add a new clause for input data collection from LMF for LMF-based AIML Positioning.","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23740,"status":"not treated","reservation_date":"2024-08-11 05:34:51","uploaded":"2024-11-08 08:01:23","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1282.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411784.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.12A (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411785","title":"NWDAF enhancements for LMF-based AI\/ML Positioning","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the descriptions of NWDAF registration and discovery using the 'LMF-based AI\/ML positioning indication'. Update the description to support NWDAF providing ML model to the LMF.","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23820,"status":"not treated","reservation_date":"2024-08-11 05:34:52","uploaded":"2024-11-08 08:01:23","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5843.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411785.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.6.2, 6.2.18, 6.3.13","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411786","title":"NWDAF enhancements for LMF-based AIML Positioning","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the descriptions of NWDAF registration and discovery using the 'LMF-based AI\/ML positioning indication'.","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23850,"status":"not treated","reservation_date":"2024-08-11 05:34:53","uploaded":"2024-11-08 08:01:23","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5149.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411786.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2.7.2.2, 5.2.7.2.5, 5.2.7.3.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411787","title":"Support of ML model provisioning from NWDAF to LMF","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Enhance the procedure for NWDAF assistance to location services to support ML model provisioning from NWDAF to LMF.","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23670,"status":"not treated","reservation_date":"2024-08-11 05:34:54","uploaded":"2024-11-08 08:01:23","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":622.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411787.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.21.1, 6.21.X (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411788","title":"Support AI\/ML model performance monitoring by NWDAF","source":"[Xiaomi, Nokia, Ericsson], Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: To add feature description for AI\/ML Model performance monitoring in NWDAF side by referring to data collection by NWDAF with additional enhancements.","secretary_remarks":"Revision of (agreed) S2-2410995 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23570,"status":"not treated","reservation_date":"2024-08-11 05:34:54","uploaded":"2024-11-08 08:01:23","revisionof":"S2-2410995","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1253.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411788.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411809","title":"High-level description for Vertical Federated Learning when AF is as Server.","source":"[KDDI, Ericsson, OPPO, ETRI, ICS], Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 5.4 is modified to specify the high-level functionality for vertical federated learning between AF and NWDAFs when AF is VFL server.","secretary_remarks":"Revision of (agreed) S2-2411195 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24220,"status":"not treated","reservation_date":"2024-08-11 06:02:44","uploaded":"2024-11-08 08:01:23","revisionof":"S2-2411195","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1161.0,"crrevision":7.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411809.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411810","title":"Refinements for VFL feature","source":"[Vivo, ICS, LG Electronics, InterDigital, ZTE, OPPO, Nokia, Samsung], Huawei","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Modify the existing teminology from FL to HFL; Refine the HFL capability information; Refine the VFL capablity information for NWDAF Add VFL capablity information for AF; Add VFL capability information registration for untrused AF via NEF. Complete the general discovery procedure for VFL process with the case that the AF as the VFL server.","secretary_remarks":"Revision of (agreed) S2-2411193 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24080,"status":"not treated","reservation_date":"2024-08-11 06:02:45","uploaded":"2024-11-08 08:01:23","revisionof":"S2-2411193","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1198.0,"crrevision":8.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411810.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 5.X(new), 6.2H, 6.2H.1, 6.2H.2, 6.2H.2.1, 6.2H.2.1.1 (new), 6.2H.2.1.2 (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411811","title":"General training procedure for Vertical Federated Learning between NWDAF(s) and AF(s)","source":"[China Mobile], [CATT], [ZTE], [OPPO], [China Telecom], [ETRI], Huawei, HiSilicon, [Nokia], [Futurewei], [Samsung]","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding new clause for procedure of Vertical Federated Learning when NWDAF is acting as VFL server","secretary_remarks":"Revision of (agreed) S2-2411194 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24180,"status":"not treated","reservation_date":"2024-08-11 06:02:46","uploaded":"2024-11-08 08:01:23","revisionof":"S2-2411194","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1134.0,"crrevision":16.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411811.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3 (new), 6.2H.2.3.1 (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411812","title":"Update the general inference procedure for vertical federated learning to resolve ENs","source":"[OPPO], [ZTE], [Samsung], [Nokia], [Lenovo], [Toyota], [ICS], Huawei, HiSilicon, [Ericsson]","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Several ENs are resolved for the VFL inference procedure. Parameter from Analytics subscription such as analytics target and analytics filer is added in the request send from the VFL server to the VFL client and in related replies. The VFL model correlation ID is added when then VFL client send the VFL inference result to the VFL server.","secretary_remarks":"Revision of (agreed) S2-2411192 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24000,"status":"not treated","reservation_date":"2024-08-11 06:02:46","uploaded":"2024-11-08 08:01:23","revisionof":"S2-2411192","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1208.0,"crrevision":6.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411812.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2G, 6.2H.1, 6.2H.2.4(new), 6.2H.2.4.1 (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411827","title":"Discussion on Detailed content and the parameters during VFL process","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"discussion","for":"Discussion","abstract":"It proposes to discuss Detailed content and the parameters during VFL process","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23880,"status":"not treated","reservation_date":"2024-08-11 06:27:21","uploaded":"2024-11-08 08:01:23","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411827.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411828","title":"Update the general inference procedure for vertical federated learning to resolve ENs","source":"OPPO, [ZTE, Samsung, Nokia, Lenovo, Toyota, ICS, Huawei, HiSilicon, Ericsson]","contact":"Jingran Chen","contact-id":100820,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Several ENs are resolved for the VFL inference procedure. Parameter from Analytics subscription such as analytics target and analytics filer is added in the request send from the VFL server to the VFL client and in related replies. The VFL model correlation ID is added when then VFL client send the VFL inference result to the VFL server. Several ENs are refined or removed for the VFL inference procedure.","secretary_remarks":"Revision of (agreed) S2-2411192. Confirm CR Revision - CR states 4! Revised in parallel session to S2-2412430.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22530,"status":"revised","reservation_date":"2024-08-11 06:29:47","uploaded":"2024-11-08 09:58:41","revisionof":"S2-2411192","revisedto":"S2-2412430","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1208.0,"crrevision":7.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411828.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411830","title":"New analytics for signaling storm mitigation (TS 23.501)","source":"vivo, SK Telecom","contact":"Li Hu","contact-id":104884,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce detailed stage 2 descriptions for signaling storm analytics in the TS 23.501.","secretary_remarks":"Revision of (unhandled) S2-2409822. Revised in parallel session to S2-2412444, merging S2-2411426 and S2-2411964","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23200,"status":"revised","reservation_date":"2024-08-11 06:34:37","uploaded":"2024-11-08 06:38:34","revisionof":"S2-2409822","revisedto":"S2-2412444","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5661.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411830.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.3.5, 5.6.15, 5.19.5.2, 5.19.6, 6.2.1, 6.2.2, 6.2.6, 6.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411831","title":"NRF Mitigation for signalling storm caused by NF signalling (TS 23.502)","source":"vivo","contact":"Li Hu","contact-id":104884,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce detailed stage 2 descriptions for NRF mitigation of signaling storm in the TS 23.502.","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24540,"status":"not treated","reservation_date":"2024-08-11 06:34:38","uploaded":"2024-11-08 06:38:34","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5154.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411831.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411832","title":"Refinements for VFL feature","source":"[Vivo, ICS, LG Electronics, InterDigital, ZTE,] OPPO, [Nokia, Samsung]","contact":"Jingran Chen","contact-id":100820,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Modify the existing teminology from FL to HFL; Refine the HFL capability information; Refine the VFL capablity information for NWDAF Add VFL capablity information for AF; Add VFL capability information registration for untrused AF via NEF. Complete the general discovery procedure for VFL process with the case that the AF as the VFL server. Vender ID and featuer ID are added as part of the VFL interoperability inforamtion and will be register to the NRF as the NF profile.","secretary_remarks":"Revision of (agreed) S2-2411193. Confirm CR Revision - CR states 4! Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24090,"status":"not treated","reservation_date":"2024-08-11 06:36:26","uploaded":"2024-11-08 09:58:41","revisionof":"S2-2411193","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1198.0,"crrevision":9.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411832.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411833","title":"Discussion on UE side data collection.","source":"OPPO","contact":"Jingran Chen","contact-id":100820,"tdoctype":"discussion","for":"Discussion","abstract":"This contribution discusses the potential SA WG2 impact based on the RAN LS S2-2409600 and provide some proposals.","secretary_remarks":"Revision of (unhandled) S2-2409732 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23420,"status":"not treated","reservation_date":"2024-08-11 06:42:27","uploaded":"2024-11-08 09:58:41","revisionof":"S2-2409732","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411833.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411836","title":"Discussion on the VFL feature alignment","source":"OPPO","contact":"Jingran Chen","contact-id":100820,"tdoctype":"discussion","for":"Agreement","abstract":"Discussion on how to perform feature alignment.","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23890,"status":"not treated","reservation_date":"2024-08-11 06:46:55","uploaded":"2024-11-08 09:58:41","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411836.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411840","title":"KI#2 Introduction of VFL inference service for NWDAF as the VFL sever","source":"NTT DOCOMO","contact":"Kohei Nozaki","contact-id":101546,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add a service that requests an inference from the VFL client and retrieves the result.","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24330,"status":"not treated","reservation_date":"2024-08-11 07:07:42","uploaded":"2024-11-08 07:25:25","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1283.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411840.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.4.1, 7.1, new 7.X","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411841","title":"KI#2 Introduction of VFL client training service for AF as the VFL client","source":"NTT DOCOMO","contact":"Kohei Nozaki","contact-id":101546,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add a service that requests a training to the VFL client.","secretary_remarks":"Confirm CR Number - CR states -1284! Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24340,"status":"not treated","reservation_date":"2024-08-11 07:10:43","uploaded":"2024-11-08 07:25:25","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1284.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411841.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411879","title":"Update on Data Collection by LMF procedure","source":"[Lenovo, Qualcomm, Huawei], vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The following clarifications are made: LMF may be triggered by NWDAF to collect data for training an AIML model for Direct AIML positioning Rev 1 includes changes from S2-2410673 - Clarify the interaction between AMF and LMF in step 2. - Clarify the procedure between LMF and UE in step 4.","secretary_remarks":"Revision of (agreed) S2-2411256. Revised in parallel session to S2-2412428.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22450,"status":"revised","reservation_date":"2024-08-11 07:53:12","uploaded":"2024-11-08 10:42:14","revisionof":"S2-2411256","revisedto":"S2-2412428","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":584.0,"crrevision":8.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411879.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":true,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18.1, 6.X (new), 6.x.1 (new), 6.x.2 (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411941","title":"Update the general inference procedure for vertical federated learning to resolve ENs","source":"[OPPO, ZTE, Samsung, Nokia, Lenovo, Toyota, ICS, Huawei, HiSilicon, Ericsson], vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Several ENs are resolved for the VFL inference procedure. Parameter from Analytics subscription such as analytics target and analytics filer is added in the request send from the VFL server to the VFL client and in related replies. The VFL model correlation ID is added when then VFL client send the VFL inference result to the VFL server.","secretary_remarks":"Revision of (agreed) S2-2411192 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24010,"status":"not treated","reservation_date":"2024-08-11 08:27:57","uploaded":"2024-11-08 10:42:14","revisionof":"S2-2411192","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1208.0,"crrevision":8.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411941.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2G, 6.2H.1, 6.2H.2.4(new), 6.2H.2.4.1 (new), 6.2H.2.4.2 (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411964","title":"Define new event ID for signaling related information exposue","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add new event ID for signalling related information exposure defined in signalling storm analytics.","secretary_remarks":"Merged into S2-2412444","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23190,"status":"merged","reservation_date":"2024-08-11 09:06:23","uploaded":"2024-11-08 16:05:33","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5167.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411964.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2.2.3.1, 5.2.8.3.1, 5.2.19.2.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411965","title":"New analytics for QoS and Policy Assistance","source":"Huawei, HiSilicon, CATT, ZTE, China Mobile, China Telecom, China Unicom, Lenovo, ICS, Futurewei","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce a new NWDAF-based QoS and Policy Assistance Analytics ID to support KI#3 use case.","secretary_remarks":"Revised in parallel session to S2-2412438.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22860,"status":"revised","reservation_date":"2024-08-11 09:06:24","uploaded":"2024-11-08 16:05:33","revisionof":"","revisedto":"S2-2412438","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1296.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411965.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.x (new), 6.x.1 (new), 6.x.2 (new), 6.x.3 (new), 6.x.4 (new), 7.1 ","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411972","title":"LMF enhancements for LMF-based AI\/ML Positioning","source":"[Huawei, HiSilicon, NTT DOCOMO, Nokia], vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce a new procedure of Location Measurement data collection from LMF for NWDAF side AI\/ML positioning ML model training. Define new LMF services for the data collection for NWDAF side AI\/ML positioning ML model training. Other enhancements based on conclusions for KI#1 in TR 23.700-84.","secretary_remarks":"Revision of (agreed) S2-2410978 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23540,"status":"not treated","reservation_date":"2024-08-11 09:12:11","uploaded":"2024-11-08 10:42:14","revisionof":"S2-2410978","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":574.0,"crrevision":6.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411972.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411975","title":"New solution for AIML UE data collection.","source":"LG Electronics","contact":"Laeyoung Kim","contact-id":40613,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes to add a new solution for AIML UE data collection in TR 23.700-84.","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23430,"status":"not treated","reservation_date":"2024-08-11 09:47:33","uploaded":"2024-11-08 13:59:39","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"2.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2411975.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412004","title":"LMF enhancements for LMF-based AI\/ML Positioning","source":"Xiaomi, [Huawei], [HiSilicon], [NTT DOCOMO], [Nokia]","contact":"Jianning(Carry) LIU","contact-id":88587,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce a new procedure of Location Measurement data collection from LMF for NWDAF side AI\/ML positioning ML model training. Define new LMF services for the data collection for NWDAF side AI\/ML positioning ML model training. Other enhancements based on conclusions for KI#1 in TR 23.700-84. To remove PRU information and related part of the EN in step 2, whether need the PRU information","secretary_remarks":"Revision of (agreed) S2-2410978 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23550,"status":"not treated","reservation_date":"2024-08-11 10:38:19","uploaded":"2024-11-08 11:50:15","revisionof":"S2-2410978","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":574.0,"crrevision":7.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412004.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"4.3.X (new), 4.4.13, 6.X.4 (new), 8.3.1, 8.3.X (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412030","title":"Editor's Note removal for VFL procedures.","source":"KDDI","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The consumer of analytics does not need to aware of whether analytics is provided using VFL or other mechanism. Thus, there is no need to register and discover VFL server. Editor's Note Whether NWDAF as VFL server registers to NRF with VFL capability information is needed is FFS. Editor's Note Whether AF as VFL server registers to NRF with VFL capability information is needed is FFS. Editor's Note Whether a discovery of an AF acting as VFL server is required and how it can be done is FFS. Editor's Note: The content of the VFL status report is FFS. It is slightly unclear the motivation to introduce additional NEF's functionality than that agreed in October. Thus, NEF's role is limited to that agreed in October. VFL server can send separate message to each VFL client, even when VFL server is untrusted AF. Editor s note: It is ffs whether the VFL client can only reduce the requirements (e.g. samples) or also add new requirements. It is also ffs whether step 1 needs to be repeated if requirements have been reduced by the VFL client. Editor's note: It is ffs whether the NEF stores selection criteria received during discovery and includes them in subsequent messages or if the AF needs to provide related parameters. Editor's note: The NEF procedures need to be confirmed. Editor s note: It is ffs whether .the VFL server sends a separate message for each VFL client towards the NEF. Usage of temporary NWDAF IDs needs to be added. It is postponed to next meeting. Editor's Note: Whether and how to maintain a Vertical Federation Learning process including dynamical reselection, addition, or removal of VFL Client NWDAF(s) is FFS. Sample information is needed for each training iteration because the samples maybe changed frequently. Editor's Note: It is FFS whether sample\/feature information is required to be provided in each training. Editor's note: The report may include ID(s) of sample(s) corresponding to the intermediate training result. Terminology is aligned. Editor's Note: Terminology will be aligned in the future. Editor's note: Terminology should be alligned related among VFL related descriptions, in particular related to intermediate results and VFL model correlation ID. It is out of 3GPP scope. Editor's Note: Whether weight of feature is computed by VFL server is FFS. The NWDAF can collect input data. Editor's note: It is ffs whether the NWDAF as VFL client also uses the collected input data to update its model. All the trusted AF part is removed.","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24120,"status":"not treated","reservation_date":"2024-08-11 10:53:07","uploaded":"2024-11-08 10:57:58","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1297.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412030.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412033","title":"Way Forwards on pending issues for VFL.","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"discussion","for":"Agreement","abstract":"This DP provides way forwards on pending issues for VFL based on discussions and agreements made in SA WG2#165.","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23940,"status":"not treated","reservation_date":"2024-08-11 11:04:05","uploaded":"2024-11-08 20:50:39","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412033.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412034","title":"Update the input data based on RAN LS feedback.","source":"Xiaomi","contact":"Jianning(Carry) LIU","contact-id":88587,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: update input data for ML model training\/performance monitoring to include channel measurement, quality indicator of channel measurement, time stamp of channel measurement, or\/and include ground truth label (or its approximation), quality indicator of label, time stamp of label.","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23860,"status":"not treated","reservation_date":"2024-08-11 11:06:09","uploaded":"2024-11-08 11:50:15","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":627.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412034.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18;","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412036","title":"Refinements for VFL feature","source":"[Vivo, ICS, LG Electronics, InterDigital, ZTE, OPPO, Nokia, Samsung], Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Modify the existing teminology from FL to HFL; Refine the HFL capability information; Refine the VFL capablity information for NWDAF Add VFL capablity information for AF; Add VFL capability information registration for untrused AF via NEF. Complete the general discovery procedure for VFL process with the case that the AF as the VFL server.","secretary_remarks":"Revision of (agreed) S2-2411193 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24100,"status":"not treated","reservation_date":"2024-08-11 11:07:28","uploaded":"2024-11-08 20:50:39","revisionof":"S2-2411193","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1198.0,"crrevision":10.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412036.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 5.X(new), 6.2H, 6.2H.1, 6.2H.2, 6.2H.2.1, 6.2H.2.1.1 (new), 6.2H.2.1.2 (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412037","title":"KI#2 Update of VFL training and inference","source":"[Ericsson, Apple, ETRI, InterDigital], Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Changes in 5.4: 1) Added that Vertical Federated learning is a machine learning techinique working without exchanging\/sharing of local data set nor ML models 2) Editor's note: Support for AF acting as VFL server selecting multiple NWDAFs is FFS. Is solved by introducing: - An AF acting as VFL server discovers and selects VFL client(s) (NWDAF(s)) to participate in a VFL procedure. 3) Editor's note: Details regarding Sample alignment and features alignment functionality or whether the functionality needs to be specified are FFS. Is solved in procedure procedure for preparation phase Editor's note: For an NWDAF impacts of the split into AnLF and MTLF are FFS. are solved in procedure clauses, where NWDAFs being part of inference have earlier been part of training. 4) Adding where the procedures are described Changes in 6.2F.2: Clarifying that some parameters are needed for VFL. Changes in 6.2H Added Preparation procedure Alignments including Sample and feature alignment is done in this phase","secretary_remarks":"Revision of (postponed) S2-2410683 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24270,"status":"not treated","reservation_date":"2024-08-11 11:11:51","uploaded":"2024-11-08 20:50:39","revisionof":"S2-2410683","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1246.0,"crrevision":5.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412037.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"3.2, 5.4, 6.2C.1; 6.2F.2, 6.2H.1, 6.2H.2, 6.2H.2.1, 6.2H.2.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412039","title":"General training procedure for Vertical Federated Learning between NWDAF(s) and AF(s)","source":"[China Mobile, CATT, ZTE, OPPO, China Telecom, ETRI, Huawei, HiSilicon, Nokia, Futurewei, Samsung], Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding new clause for procedure of Vertical Federated Learning when NWDAF is acting as VFL server","secretary_remarks":"Revision of (agreed) S2-2411194 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24190,"status":"not treated","reservation_date":"2024-08-11 11:16:11","uploaded":"2024-11-08 20:50:39","revisionof":"S2-2411194","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1134.0,"crrevision":17.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412039.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3 (new), 6.2H.2.3.1 (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412050","title":"Update the general inference procedure for vertical federated learning to resolve ENs","source":"[OPPO, ZTE, Samsung, Nokia], Lenovo, [Toyota, ICS, Huawei, HiSilicon, Ericsson]","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Several ENs are resolved for the VFL inference procedure. Parameter from Analytics subscription such as analytics target and analytics filer is added in the request send from the VFL server to the VFL client and in related replies. The VFL model correlation ID is added when then VFL client send the VFL inference result to the VFL server.","secretary_remarks":"Revision of (agreed) S2-2411192 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24020,"status":"not treated","reservation_date":"2024-08-11 11:23:03","uploaded":"2024-11-08 20:50:39","revisionof":"S2-2411192","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1208.0,"crrevision":9.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412050.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2G, 6.2H.1, 6.2H.2.4(new), 6.2H.2.4.1 (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412053","title":"Support AI\/ML model performance monitoring by NWDAF","source":"[Xiaomi, Nokia, Ericsson], Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: To add feature description for AI\/ML Model performance monitoring in NWDAF side by referring to data collection by NWDAF with additional enhancements.","secretary_remarks":"Revision of (agreed) S2-2410995. Revised in parallel session to S2-2412426.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22390,"status":"revised","reservation_date":"2024-08-11 11:26:36","uploaded":"2024-11-08 20:50:39","revisionof":"S2-2410995","revisedto":"S2-2412426","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1253.0,"crrevision":4.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412053.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412078","title":"LMF enhancements for LMF-based AI\/ML Positioning","source":"[Huawei, HiSilicon, NTT DOCOMO, Nokia], Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce a new procedure of Location Measurement data collection from LMF for NWDAF side AI\/ML positioning ML model training. Define new LMF services for the data collection for NWDAF side AI\/ML positioning ML model training. Other enhancements based on conclusions for KI#1 in TR 23.700-84.","secretary_remarks":"Revision of (agreed) S2-2410978 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23560,"status":"not treated","reservation_date":"2024-08-11 12:03:31","uploaded":"2024-11-08 20:50:38","revisionof":"S2-2410978","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":574.0,"crrevision":9.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412078.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"4.3.X (new), 4.4.13, 6.X.4 (new), 8.3.1, 8.3.X (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412136","title":"VFL training procedure and VFL inference procedure with AF as a VFL server","source":"Interdigital","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: This CR provides VFL training procedure and VFL inference procedure with AF as VFL server.","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24040,"status":"not treated","reservation_date":"2024-08-11 13:52:50","uploaded":"2024-11-08 17:10:48","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1298.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412136.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3.1(new), 62H.2.4.1(new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412142","title":"KI#2 Update of VFL training and inference","source":"[Ericsson, Apple, ETRI], InterDigital","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Revision 6 includes the following update: Including VFL interoperability information including VFL configuration ID for a preconfigured VFL configuration. Updated preparation phase. Changes in 5.4: 1) Added that Vertical Federated learning is a machine learning techinique working without exchanging\/sharing of local data set nor ML models 2) Editor's note: Support for AF acting as VFL server selecting multiple NWDAFs is FFS. Is solved by introducing: - An AF acting as VFL server discovers and selects VFL client(s) (NWDAF(s)) to participate in a VFL procedure. 3) Editor's note: Details regarding Sample alignment and features alignment functionality or whether the functionality needs to be specified are FFS. Is solved in procedure procedure for preparation phase Editor's note: For an NWDAF impacts of the split into AnLF and MTLF are FFS. are solved in procedure clauses, where NWDAFs being part of inference have earlier been part of training. 4) Adding where the procedures are described Changes in 6.2F.2: Clarifying that some parameters are needed for VFL. Changes in 6.2H Added Preparation procedure Alignments including Sample and feature alignment is done in this phase","secretary_remarks":"Revision of (postponed) S2-2410683 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24260,"status":"not treated","reservation_date":"2024-08-11 14:07:38","uploaded":"2024-11-08 17:10:48","revisionof":"S2-2410683","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1246.0,"crrevision":6.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412142.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"3.2, 5.4, 6.2C.1; 6.2F.2, 6.2H.1, 6.2H.2, 6.2H.2.1, 6.2H.2.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412184","title":"[DRAFT] Reply LS on AIML data collection","source":"T-Mobile USA Inc.","contact":"Serge Manning","contact-id":87103,"tdoctype":"LS out","for":"Approval","abstract":"[Draft] Reply LS on AIML data collection","secretary_remarks":"Response to S2-2411455 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23370,"status":"not treated","reservation_date":"2024-08-11 14:58:58","uploaded":"2024-11-08 20:17:34","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"NR_AIML_air"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"TSG RAN","Cc":"RAN WG1, RAN WG2, RAN WG3, TSG SA, TSG RAN, SA WG3, SA WG5","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412184.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412207","title":"Refinements for VFL feature","source":"[Vivo, ICS, LG Electronics], InterDigital, [ZTE, OPPO, Nokia, Samsung]","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Modify the existing teminology from FL to HFL; Refine the HFL capability information; Refine the VFL capablity information for NWDAF Add VFL capablity information for AF; Add VFL capability information registration for untrused AF via NEF. Complete the general discovery procedure for VFL process with the case that the AF as the VFL server. Rev11: Introduces a preconfigured VFL configurations per analytic ID so that VFL server and VFL clients may perform VFL training without sharing initial ML Model sharing or feature alignment procedure. And based on that, the following E.N. are resolved. Editor's note: Whether the VFL Interoperability information (e.g. type of supported VFL training method(s), vendor information, and feature related information) needs to be part of the NF profile registered in NRF is FFS. Editor's note: It is FFS whether and how to enhance the discovery of VFL client that can do VFL with the VFL server. Editor's note: Details of ML Model handling, supported features, Feature alignment are FFS.","secretary_remarks":"Revision of (agreed) S2-2411193 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24110,"status":"not treated","reservation_date":"2024-08-11 15:54:18","uploaded":"2024-11-08 17:10:48","revisionof":"S2-2411193","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1198.0,"crrevision":11.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412207.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 5.X(new), 6.2H, 6.2H.1, 6.2H.2, 6.2H.2.1, 6.2H.2.1.1 (new), 6.2H.2.1.2 (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412295","title":"VFL: Discussion on sample change during training.","source":"Apple","contact":"Sudeep M Vamanan","contact-id":103491,"tdoctype":"discussion","for":"Agreement","abstract":"This discussion paper analyses how sample change during VFL training can be supported.","secretary_remarks":"Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23950,"status":"not treated","reservation_date":"2024-08-11 17:50:14","uploaded":"2024-11-08 22:09:04","revisionof":"","revisedto":"","release":"","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412295.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412312","title":"[DRAFT] Reply LS on AIML data collection","source":"InterDigital Canada","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"LS out","for":"Approval","abstract":"[DRAFT] Reply LS on AIML data collection","secretary_remarks":"Response to S2-2411455. Revised in parallel session to S2-2412454.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23330,"status":"revised","reservation_date":"2024-08-11 19:42:39","uploaded":"2024-11-08 22:56:16","revisionof":"","revisedto":"S2-2412454","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"NR_AIML_air"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"TSG RAN","Cc":"RAN WG1, RAN WG2, RAN WG3, SA WG3, SA WG5, CT WG1","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412312.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412350","title":"KI#1 - Addressing Editor s Note: Procedure for Data Collection for AI\/ML based positioning from NG-RAN","source":"Ericsson, [Xiaomi, Nokia]","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Updates to CR on data collection from NG-RAN to include checking RAN load and retrieval of a AIML model from NWDAF","secretary_remarks":"Revision of S2-2411638. Revised in parallel session to S2-2412429.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22490,"status":"revised","reservation_date":"2024-08-11 22:43:36","uploaded":"2024-11-08 22:46:22","revisionof":"S2-2411638","revisedto":"S2-2412429","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":597.0,"crrevision":10.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412350.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"4.4.13, 5.18, 6.x.3 (new), 6.x.y (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412353","title":"KI#2: Updating FL to HFL","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Change FL to HFL, Federated Learning to Horizontal Federaed learning","secretary_remarks":"Revision of S2-2411379 Not Handled","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":24320,"status":"not treated","reservation_date":"2024-08-11 23:34:31","uploaded":"2024-11-08 23:38:02","revisionof":"S2-2411379","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1175.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412353.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412358","title":"LS from SA WG3: Reply LS on AIML data collection","source":"SA WG3","contact":"rajavelsamy Rajadurai","contact-id":97270,"tdoctype":"LS in","for":"Information","abstract":"SA WG3 thanks TSG RAN for the LS on the AIML data collection. After reviewing the initial RAN requirements on UE-side data collection for UE-side model sharing, below are SA WG3 inputs, including request for further clarifications: a) SA WG3 needs clarification on the RAN security requirement 'The data collected is secured and data integrity and confidentiality for that data is ensured'. SA WG3 would like to understand whether the collected data is to be secured at the time of collection (i.e. within the UE (storage)), and\/or during communication. b) SA WG3 will require more inputs on type of data to be collected, to better assess the sensitivity of the information conveyed by the data and to study appropriate solutions for the RAN (security) requirement on 'User data privacy, anonymity and user consent is respected'. Once the final architecture decision\/solution is made in RAN WG2\/SA WG2, SA WG3 will perform a detailed security assessment and study on the security mechanisms for this feature.","secretary_remarks":"Postponed","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23260,"status":"postponed","reservation_date":"2024-11-17 14:17:36","uploaded":"2024-11-17 14:18:13","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"TSG RAN","Cc":"RAN WG2, TSG SA, SA WG1, SA WG2, SA WG5","lsoriginalls":"S3-245138","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412358.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412425","title":"LMF enhancements for LMF-based AI\/ML Positioning","source":"Huawei, HiSilicon, [NTT DOCOMO, Nokia], Xiaomi, vivo?, Lenovo?","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce a new procedure of Location Measurement data collection from LMF for NWDAF side AI\/ML positioning ML model training. Define new LMF services for the data collection for NWDAF side AI\/ML positioning ML model training. Other enhancements based on conclusions for KI#1 in TR 23.700-84.","secretary_remarks":"Revision of S2-2411783. Revised in parallel session to S2-2412727.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22370,"status":"revised","reservation_date":"2024-11-20 20:07:20","uploaded":"2024-11-25 06:41:10","revisionof":"S2-2411783","revisedto":"S2-2412727","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":574.0,"crrevision":10.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412425.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"4.3.X (new), 4.4.13, 6.X.4 (new), 8.3.1, 8.3.X (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412426","title":"Support AI\/ML model performance monitoring by NWDAF","source":"[Xiaomi, Nokia, Ericsson], Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: To add feature description for AI\/ML Model performance monitoring in NWDAF side by referring to data collection by NWDAF with additional enhancements.","secretary_remarks":"Revision of S2-2412053. Revised in parallel session to S2-2412941.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22400,"status":"revised","reservation_date":"2024-11-20 20:07:21","uploaded":"2024-11-25 06:41:10","revisionof":"S2-2412053","revisedto":"S2-2412941","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1253.0,"crrevision":5.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412426.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412427","title":"Addressing the EN about model provision for AI positioning","source":"Vivo, Qualcomm Incorporated?, ChinaTelecom","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Address the ENs on how MTLF indicates supporting model training for the LMF-based AI\/ML positioning. use a service identifier or an indication of supporting ML Model training for LMF-based AI\/ML Positioning","secretary_remarks":"Revision of S2-2411549. Revised in parallel session to S2-2412728.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22430,"status":"revised","reservation_date":"2024-11-20 20:07:22","uploaded":"2024-11-25 06:41:10","revisionof":"S2-2411549","revisedto":"S2-2412728","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1196.0,"crrevision":5.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412427.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412428","title":"Update on Data Collection by LMF procedure","source":"[Lenovo], Qualcomm?, [Huawei], vivo, nokia?, xiaomi?","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The following clarifications are made: LMF may be triggered by NWDAF to collect data for training an AIML model for Direct AIML positioning Rev 1 includes changes from S2-2410673 - Clarify the interaction between AMF and LMF in step 2. - Clarify the procedure between LMF and UE in step 4.","secretary_remarks":"Revision of S2-2411879. Revised in parallel session to S2-2412729.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22460,"status":"revised","reservation_date":"2024-11-20 20:07:23","uploaded":"2024-11-25 06:41:10","revisionof":"S2-2411879","revisedto":"S2-2412729","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":584.0,"crrevision":9.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412428.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412429","title":"KI#1 - Addressing Editor s Note: Procedure for Data Collection for AI\/ML based positioning from NG-RAN","source":"Ericsson, Xiaomi, Nokia, Interdigital, Apple","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Updates to CR on data collection from NG-RAN to include checking RAN load and retrieval of a AIML model from NWDAF","secretary_remarks":"Revision of S2-2412350. Revised in parallel session to S2-2412730.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22500,"status":"revised","reservation_date":"2024-11-20 20:07:24","uploaded":"2024-11-25 06:41:10","revisionof":"S2-2412350","revisedto":"S2-2412730","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":597.0,"crrevision":11.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412429.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"4.4.13, 5.18, 6.x.3 (new), 6.x.y (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412430","title":"Update the general inference procedure for vertical federated learning to resolve ENs","source":"OPPO, [ZTE, Samsung, Nokia, Lenovo, Toyota, ICS, Huawei, HiSilicon, Ericsson], Interdigital, Tencent, ETRI.","contact":"Jingran Chen","contact-id":100820,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Several ENs are resolved for the VFL inference procedure. Parameter from Analytics subscription such as analytics target and analytics filer is added in the request send from the VFL server to the VFL client and in related replies. The VFL model correlation ID is added when then VFL client send the VFL inference result to the VFL server. Several ENs are refined or removed for the VFL inference procedure.","secretary_remarks":"Revision of S2-2411828. Revised in parallel session to S2-2412731.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22540,"status":"revised","reservation_date":"2024-11-20 20:07:25","uploaded":"2024-11-25 06:41:10","revisionof":"S2-2411828","revisedto":"S2-2412731","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1208.0,"crrevision":10.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412430.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2G, 6.2H.1, 6.2H.2.4(new), 6.2H.2.4.1 (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412431","title":"Refinements for VFL feature","source":"Vivo, [ICS], LG Electronics?, InterDigital?, [ZTE], OPPO?, Nokia, Samsung, Ericsson?, Huawei, Lenovo?, KDDI? ETRI","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Modify the existing teminology from FL to HFL; Refine the HFL capability information; Refine the VFL capablity information for NWDAF Add VFL capablity information for AF; Add VFL capability information registration for untrused AF via NEF. Complete the general discovery procedure for VFL process with the case that the AF as the VFL server.","secretary_remarks":"Revision of S2-2411554. Revised in parallel session to S2-2412732.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22580,"status":"revised","reservation_date":"2024-11-20 20:07:26","uploaded":"2024-11-25 06:41:10","revisionof":"S2-2411554","revisedto":"S2-2412732","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1198.0,"crrevision":12.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412431.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412432","title":"General training procedure for Vertical Federated Learning between NWDAF(s) and AF(s)","source":"China Mobile, CATT, ZTE, OPPO, China Telecom, ETRI, Huawei, HiSilicon, Nokia, Futurewei, Samsung","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding new clause for procedure of Vertical Federated Learning when NWDAF is acting as VFL server Removed 3 ENs.","secretary_remarks":"Revision of S2-2411626, merging S2-2411614. Revised in parallel session to S2-2412733.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22620,"status":"revised","reservation_date":"2024-11-20 20:07:27","uploaded":"2024-11-25 06:41:10","revisionof":"S2-2411626","revisedto":"S2-2412733","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1134.0,"crrevision":18.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412432.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412433","title":"High-level description for Vertical Federated Learning when AF is as Server.","source":"KDDI, Ericsson, ZTE, ICS, CMCC, ETRI, Huawei, Samsung, OPPO?","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 5.4 is modified to resolve some Editor Notes. Change of the sample in the VFL procedure is not supported in this release. Editor's Note: Whether and how change of samples during a VFL training is supported is FFS. Terminology is aligned. Editor's note: Terminology will be aligned to clause 6.2H.2 in future meeting. The detailed references are added. Editor's note: Detailed references to clause 6.2H.2 will be added in future meeting. The ENs are modified to 'Editor's note: If additional functionality is specified in clause 6.2H, the reference to the corresponding clause will be added'. If the functionality is specified, the feature alignment, accuracy monitoring, and\/or any other additional functionality will be detailed in clause 6.2H. In the case, only the reference will be documented in clause 5.4. Editor's note: Details regarding features alignment functionality or whether the functionality needs to be specified are FFS. And Editor's note: Whether and how to provide initial model from VFL server to VFL clients based on VFL client request is FFS. And Editor's note: Accuracy monitoring in VFL when VFL server is NWDAF is FFS. In this release, when NWDAF is acting as VFL server or VFL client, the NWDAF is assumed to be containing both AnLF and MTLF. Editor's note: For an NWDAF impacts of the split into AnLF and MTLF are FFS.","secretary_remarks":"Revision of S2-2411560, merging S2-2411625. Revised in parallel session to S2-2412734.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22670,"status":"revised","reservation_date":"2024-11-20 20:07:28","uploaded":"2024-11-25 06:41:10","revisionof":"S2-2411560","revisedto":"S2-2412734","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1161.0,"crrevision":8.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412433.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412434","title":"VFL support during the discovery of NWDAF, NEF, and AF instances","source":"[ICS, InterDigital, Futurewei, Ericsson, Nokia , Huawei, LG Electronics, KDDI, ETRI, NTT DOCOMO, MediaTek Inc., Lenovo, BT, Samsung, OPPO, ZTE, Vivo","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 6.3.13 includes VFL-related parameters 6.3.25 includes an indication that AF can be discovered based on the VFL capability 6.2.6.2 includes some information regarding VFL in the NF profile","secretary_remarks":"Revision of S2-2411384. Revised in parallel session to S2-2412735.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22700,"status":"revised","reservation_date":"2024-11-20 20:07:29","uploaded":"2024-11-25 06:41:10","revisionof":"S2-2411384","revisedto":"S2-2412735","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5630.0,"crrevision":4.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412434.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412435","title":"KI#2: VFL services","source":"Nokia, LG Electronics, NTT DOCOMO","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Define new services to support VFL","secretary_remarks":"Revision of S2-2411374, merging S2-2411741. Revised in parallel session to S2-2412886.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22770,"status":"revised","reservation_date":"2024-11-20 20:07:29","uploaded":"2024-11-25 06:41:10","revisionof":"S2-2411374","revisedto":"S2-2412886","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1236.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412435.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412436","title":"KI#2 Update of VFL training and inference","source":"Ericsson, ETRI, InterDigital, ICS, OPPO, Lenovo, Vivo, Nokia, Apple, Samsung, Futurewei, ZTE, Huawei","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Changes in 5.4: 1) Added that Vertical Federated learning is a machine learning techinique working without exchanging\/sharing of local data set nor ML models 2) Editor's note: Support for AF acting as VFL server selecting multiple NWDAFs is FFS. Is solved by introducing: - An AF acting as VFL server discovers and selects VFL client(s) (NWDAF(s)) to participate in a VFL procedure. 3) Editor's note: Details regarding Sample alignment and features alignment functionality or whether the functionality needs to be specified are FFS. Is solved in procedure procedure for preparation phase Editor's note: For an NWDAF impacts of the split into AnLF and MTLF are FFS. are solved in procedure clauses, where NWDAFs being part of inference have earlier been part of training. 4) Adding where the procedures are described Changes in 6.2F.2: Clarifying that some parameters are needed for VFL. Changes in rev.4 Solving parts of follwing EN Editor's note: Whether new information for interoperatbility when using VFL, such as the VFL Interoperability information, convergence reports or whether inference needs new indicators or not is FFS. Changes in 6.2H Added Preparation procedure Alignments including Sample and feature alignment is done in this phase Changes in rev.4 Solving the EN Editor s note: Clarifications which parameters are regarded as requirements and can be modified by the VFL client is required by adding that this info is given in 6.2H.2 The last part of Editor s note: It is ffs whether the VFL client can only reduce the requirements (e.g. samples) or also add new requirements. It is also ffs whether step 1 needs to be repeated if requirements have been reduced by the VFL client. Is solved, by adding that the decision is up to server (which might deem it to be necessary since it would like to change for all clients after receiviing first possible agreed requirements. Introduce External NWDAF ID, which replaces the discussed Temporary NWDAF ID. How NEF comes up with the External NWADF ID is implementation specifics. The External NWDAF ID is kept over long time including training and inference. See no need to introduce new flag so remove Editor's Note: Whether to extend the existing ML Preparation Flag for reuse or introduce a new flag dedicated for VFL preparation is FFS. Since the service names will be discussed in coming meeting, uses the generic service name Nnf_VFLOperation while adding a new EN: Editor's note: The service operation names used for VFL operations in the procedures below are FFS","secretary_remarks":"Revision of S2-2411646. Revised in parallel session to S2-2412885.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22740,"status":"revised","reservation_date":"2024-11-20 20:07:30","uploaded":"2024-11-25 06:41:11","revisionof":"S2-2411646","revisedto":"S2-2412885","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1246.0,"crrevision":7.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412436.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412437","title":"Support of QoS and policy assistance analytics","source":"Samsung, China Mobile?, ETRI, ICS?, InterDigital Inc., MediaTek Inc, NTT DOCOMO, OPPO?, SK Telecom, Tencent?, Tencent Cloud?, vivo, Nokia?","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce a new NWDAF-based QoS and Policy Assistance Analytics ID to support QoS and policy enhancement based on concluded Principle 1 for KI#3.","secretary_remarks":"Revision of S2-2411616. Revised in parallel session to S2-2412459, merging S2-2412438","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22810,"status":"revised","reservation_date":"2024-11-20 20:07:31","uploaded":"2024-11-25 06:41:11","revisionof":"S2-2411616","revisedto":"S2-2412459","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1132.0,"crrevision":8.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412437.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412438","title":"New analytics for QoS and Policy Assistance","source":"Huawei, HiSilicon, CATT, ZTE, China Mobile, China Telecom, China Unicom, Lenovo, ICS, Futurewei","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce a new NWDAF-based QoS and Policy Assistance Analytics ID to support KI#3 use case.","secretary_remarks":"Revision of S2-2411965. Merged into S2-2412459","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22870,"status":"merged","reservation_date":"2024-11-20 20:07:32","uploaded":"2024-11-25 06:41:11","revisionof":"S2-2411965","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1296.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412438.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.x (new), 6.x.1 (new), 6.x.2 (new), 6.x.3 (new), 6.x.4 (new), 7.1 ","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412439","title":"New analytics ID to support Signalling storm Mitigation and Prevention","source":"SK Telecom, Samsung, Verizon, AT&T, China Mobile, ETRI, KPN N.V., LG Uplus, Rakuten Mobile, ZTE, China Telecom, Nokia?, Ericsson?, Lenovo, OPPO, NTT DOCOMO, Huawei, HiSilicon, KDDI, vivo, Oracle","contact":"DongJin Lee","contact-id":65921,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Removed OAM and MDAF\/MDAS from analytics consumer. Deleted some dulplicate information, clean ups including typos. Deleted Target indicent ID as it is represented in the Cause in the output analytics. Updated Target Analytics report to include SUPI\/GPSI range. Added NRF as the data source of NRF related information. Added time slot entry in the output and deleted bullet of the optional signaling information. Mentioned the SCP in the general description and the procedure description. Deleted EN of Additional Analytic Filter information. Missing parameters are added. Updated the 6.x.4.-1 Figure to be Visio-editable.","secretary_remarks":"Revision of S2-2411335. Revised in parallel session to S2-2412724.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22890,"status":"revised","reservation_date":"2024-11-20 20:07:32","uploaded":"2024-11-25 06:41:11","revisionof":"S2-2411335","revisedto":"S2-2412724","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1104.0,"crrevision":12.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412439.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412440","title":"[DRAFT] LS on User Privacy Aspects of LMF-based AI\/ML Positioning","source":"Apple","contact":"David Gutierrez Estevez","contact-id":108111,"tdoctype":"LS out","for":"Approval","abstract":"LS on User Privacy Aspects of LMF-based AI\/ML positioning","secretary_remarks":"Revision of S2-2411468. Revised in parallel session to S2-2412889.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22910,"status":"revised","reservation_date":"2024-11-20 20:07:33","uploaded":"2024-11-25 06:41:11","revisionof":"S2-2411468","revisedto":"S2-2412889","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG3","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412440.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412441","title":"Update to model provisioning for LMF-based AIML positioning","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove the EN on whether or not to include positioning case information in NWDAF profile. Clarify the input parameters for ML model provisioning for LMF-based AIML positioning. Clarify that the MTLF collects input data from the LMF for ML model training for LMF-based AIML positioning. Editorial modifications, e.g. on ML model provisioning procedures.","secretary_remarks":"Revision of S2-2411509. Agreed in parallel session. Block approved","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22970,"status":"agreed","reservation_date":"2024-11-20 20:07:33","uploaded":"2024-11-25 06:41:11","revisionof":"S2-2411509","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1275.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"SP-241486","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412441.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.1, 6.2A.1, 6.2A.2, 6.2A.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412442","title":"[DRAFT] LS on ML Model provisioning by OAM to LMF for UE positioning","source":"NTT DOCOMO","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"LS out","for":"Approval","abstract":"This is an LS to SA WG5 to clarify ML model provisioning by OAM to LMF","secretary_remarks":"Revision of S2-2411590. Revised in parallel session to S2-2412890.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22970,"status":"revised","reservation_date":"2024-11-20 20:07:34","uploaded":"2024-11-25 06:41:11","revisionof":"S2-2411590","revisedto":"S2-2412890","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG5","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412442.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412443","title":"Event exposure service enhancement to support signalling storm data collection","source":"China Telecom, Huawei, HiSilicon, Nokia, Oracle, SK Telecom","contact":"Jiahui LI","contact-id":92933,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add signalling storm related input data as event exposure in Namf_EventExposure service; Add signalling storm related input data as evemt exposure in Npcf_EventExposure service. Add signalling storm related input data as event exposure in Nsmf_EventExposure service; Add signalling storm related input data as event exposure in Naf_EventExposure service; Add signalling storm related input data as NF status in Nnrf_NFManagement service.","secretary_remarks":"Revision of S2-2411761, merging S2-2411387. Revised in parallel session to S2-2412887.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23160,"status":"revised","reservation_date":"2024-11-20 20:07:34","uploaded":"2024-11-25 06:41:11","revisionof":"S2-2411761","revisedto":"S2-2412887","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5148.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412443.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412444","title":"New analytics for signaling storm mitigation (TS 23.501)","source":"Vivo, SK Telecom, Huawei, HiSilicon, Nokia, Oracle, China Telecom, NTT Docomo","contact":"Li Hu","contact-id":104884,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce detailed stage 2 descriptions for signaling storm analytics in the TS 23.501.","secretary_remarks":"Revision of S2-2411830, merging S2-2411426 and S2-2411964. Revised in parallel session to S2-2412662.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23210,"status":"revised","reservation_date":"2024-11-20 20:07:35","uploaded":"2024-11-25 06:41:11","revisionof":"S2-2411830","revisedto":"S2-2412662","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5661.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412444.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412454","title":"[DRAFT] Reply LS on AIML data collection","source":"InterDigital Canada","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"LS out","for":"Approval","abstract":"[DRAFT] Reply LS on AIML data collection","secretary_remarks":"Revision of S2-2412312. Revised in parallel session to S2-2412461.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23340,"status":"revised","reservation_date":"2024-11-20 20:07:41","uploaded":"2024-11-25 06:41:11","revisionof":"S2-2412312","revisedto":"S2-2412461","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"NR_AIML_air"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"TSG RAN","Cc":"RAN WG1, RAN WG2, RAN WG3, SA WG3, SA WG5, CT WG1","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412454.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412455","title":"High level description refinement of NWDAF initiated VFL training","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce 'label' definition. Refine clause 5.4 to align with agreed NWDAF-initiated VFL training procedure. One EN deletion and add a note to clarify the situation.","secretary_remarks":"Revision of S2-2411344. Agreed in parallel session. Block approved","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23030,"status":"agreed","reservation_date":"2024-11-20 20:07:41","uploaded":"2024-11-25 06:41:11","revisionof":"S2-2411344","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1269.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"SP-241486","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412455.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412456","title":"[Draft] Reply LS on AIML data collection.","source":"SA WG2","contact":"Morteza Kheirkhah","contact-id":105251,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introducing VFL related supports in NRF. Introducing a new VFL capability type container. Updating existng FL to HFL.","secretary_remarks":"Revision of S2-2411341. Wrong document uploaded. Revised in parallel session to S2-2412460, merging S2-2411617 and S2-2411377.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23050,"status":"revised","reservation_date":"2024-11-20 20:07:42","uploaded":"2024-11-25 06:41:11","revisionof":"S2-2411341","revisedto":"S2-2412460","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5124.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412456.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412457","title":"KI#1: Using New LMF DataCollection service to collect input data for model training","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: An NWDAF containing MTLF that trains AI\/ML positioning ML model to be used by the LMF subscribes to input data (i.e. location measurement related data) from LMF for ML model training or ML model performance monitoring for LMF-based AI\/ML Positioning using the Nlmf_DataExposure service defined in Clause 8.3.X of TS 23.273 and the procedures defined in Clause 6.X.4 of TS 23.273.","secretary_remarks":"Revision of S2-2411363. Agreed in parallel session. Block approved","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23700,"status":"agreed","reservation_date":"2024-11-20 20:07:43","uploaded":"2024-11-25 06:41:11","revisionof":"S2-2411363","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1271.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"SP-241486","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412457.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.2.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412458","title":"NWDAF collects data from LCS to train ML model for AI positioning","source":"Vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: NWDAF collects positioning data directly from LMF in order to train ML model for AI positioning. LMF can be the consumer of ADRF Data Management service.","secretary_remarks":"Revision of S2-2411550. Revised in parallel session to S2-2412930.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23720,"status":"revised","reservation_date":"2024-11-20 20:07:44","uploaded":"2024-11-25 06:41:11","revisionof":"S2-2411550","revisedto":"S2-2412930","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1201.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412458.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412459","title":"Support of QoS and policy assistance analytics","source":"Samsung, China Mobile?, ETRI, ICS?, InterDigital Inc., MediaTek Inc, NTT DOCOMO, OPPO?, SK Telecom, Tencent?, Tencent Cloud?, vivo, Nokia?","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce a new NWDAF-based QoS and Policy Assistance Analytics ID to support QoS and policy enhancement based on concluded Principle 1 for KI#3.","secretary_remarks":"Revision of S2-2412437, merging S2-2412438. Revised in parallel session to S2-2412888.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22820,"status":"revised","reservation_date":"2024-11-20 20:07:45","uploaded":"2024-11-25 06:41:11","revisionof":"S2-2412437","revisedto":"S2-2412888","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1132.0,"crrevision":9.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412459.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.x (new), 6.x.1 (new), 6.x.2 (new), 6.x.3 (new), 6.x.4 (new), 7.1, 7.2.2, 7.3.2  ","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412460","title":"Enhancement to NRF s discovery and registration procedures to support VFL","source":"ICS, InterDigital, Futurewei, Nokia, [Ericsson]","contact":"Morteza Kheirkhah","contact-id":105251,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introducing VFL related supports in NRF. Introducing a new VFL capability type container. Updating existng FL to HFL.","secretary_remarks":"Revision of S2-2412456. Revised in parallel session to S2-2412929.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23060,"status":"revised","reservation_date":"2024-11-20 20:07:45","uploaded":"2024-11-25 06:41:11","revisionof":"S2-2412456","revisedto":"S2-2412929","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5124.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412460.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412461","title":"[DRAFT] Reply LS on AIML data collection","source":"InterDigital Canada","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"LS out","for":"Approval","abstract":"[DRAFT] Reply LS on AIML data collection","secretary_remarks":"Revision of S2-2412454. Revised in parallel session to S2-2412726.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23350,"status":"revised","reservation_date":"2024-11-20 20:07:46","uploaded":"2024-11-25 06:41:11","revisionof":"S2-2412454","revisedto":"S2-2412726","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"NR_AIML_air"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"TSG RAN","Cc":"RAN WG1, RAN WG2, RAN WG3, SA WG3, SA WG5, CT WG1","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412461.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412599","title":"LS from RAN WG2: Reply LS to SA WG5 on AIML data collection","source":"RAN WG2","contact":"Gy\u00f6rgy Wolfner","contact-id":68507,"tdoctype":"LS in","for":"Information","abstract":"RAN WG2 thanks SA WG5 for the Reply LS on AIML Data Collection (S5-246299\/ R2-2409532). RAN WG2 has concluded the following answers for the questions of the LS as below. SA WG5's question 'Is the 'Server for data collection for UE-side model training' controlled by operators?' RAN WG2's answer: The controllability requirement is referring to the controlling of the data collection\/transfer process without an SLA. RAN WG2 has assumed when discussing the solutions captured in the TR that the server for data collection for UE-side model training is within the MNO. RAN WG2 assumes that if it is in the MNO it will also be controlled by the MNO. SA WG5's question 'What standardized data is to be collected?' RAN WG2's answer: No final agreement has been made in RAN WGs regarding the standardized data to be collected. Some examples can be found in R1-2310681.","secretary_remarks":"Received at meeting Postponed","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23250,"status":"postponed","reservation_date":"2024-11-20 20:09:40","uploaded":"2024-11-25 06:41:12","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG5","Cc":"TSG RAN, RAN WG1, RAN WG2, RAN WG3, TSG SA, SA WG2, SA WG3","lsoriginalls":"R2-2411114","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412599.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412621","title":"LS from RAN WG2: Reply LS to SA WG2 on AIML data collection","source":"RAN WG2","contact":"Oumer Teyeb","contact-id":89233,"tdoctype":"LS in","for":"Action","abstract":"RAN WG2 thanks SA WG2 for the Reply LS on AIML Data Collection (S2-2411191\/ R2-2409527). RAN WG2 has concluded the following answers for the questions of the LS as below. {. . .} Action: RAN WG2 respectfully asks SA WG2 to take the above answers into consideration.","secretary_remarks":"Received at meeting. Postponed","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23240,"status":"revised","reservation_date":"2024-11-20 20:09:56","uploaded":"2024-11-25 06:41:12","revisionof":"","revisedto":"S2-2412742","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG2","Cc":"SA WG3, SA WG5, TSG SA, RAN WG3, RAN WG1, TSG RAN","lsoriginalls":"R2-2411152","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412621.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412662","title":"New analytics for signaling storm mitigation (TS 23.501)","source":"Vivo, SK Telecom, Huawei, HiSilicon, Nokia, Oracle, China Telecom, NTT DoCoMo","contact":"Li Hu","contact-id":104884,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce detailed stage 2 descriptions for signaling storm analytics in the TS 23.501.","secretary_remarks":"Revision of S2-2412444. Revised in parallel session to S2-2412725.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23220,"status":"revised","reservation_date":"2024-11-20 20:10:10","uploaded":"2024-11-25 06:41:12","revisionof":"S2-2412444","revisedto":"S2-2412725","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5661.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412662.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412724","title":"New analytics ID to support Signalling storm Mitigation and Prevention","source":"SK Telecom, Samsung, Verizon, AT&T, China Mobile, ETRI, KPN N.V., LG Uplus, Rakuten Mobile, ZTE, China Telecom, Nokia, Ericsson, Lenovo, OPPO, NTT DOCOMO, Huawei, HiSilicon, KDDI, vivo, Oracle","contact":"DongJin Lee","contact-id":65921,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Removed OAM and MDAF\/MDAS from analytics consumer. Deleted some dulplicate information, clean ups including typos. Deleted Target indicent ID as it is represented in the Cause in the output analytics. Updated Target Analytics report to include SUPI\/GPSI range. Added NRF as the data source of NRF related information. Added time slot entry in the output and deleted bullet of the optional signaling information. Mentioned the SCP in the general description and the procedure description. Deleted EN of Additional Analytic Filter information. Missing parameters are added. Updated the 6.x.4.-1 Figure to be Visio-editable.","secretary_remarks":"Revision of S2-2412439. Revised in parallel session to S2-2412939.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22900,"status":"revised","reservation_date":"2024-11-20 20:10:12","uploaded":"2024-11-25 06:51:08","revisionof":"S2-2412439","revisedto":"S2-2412939","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1104.0,"crrevision":13.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412724.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412725","title":"New analytics for signaling storm mitigation (TS 23.501)","source":"Vivo, SK Telecom, Huawei, HiSilicon, Nokia, Oracle, China Telecom, NTT DOCOMO, Samsung, Lenovo","contact":"Li Hu","contact-id":104884,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce detailed stage 2 descriptions for signaling storm analytics in the TS 23.501.","secretary_remarks":"Revision of S2-2412662. Agreed in parallel session. Block approved","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23230,"status":"agreed","reservation_date":"2024-11-20 20:10:13","uploaded":"2024-11-25 06:51:08","revisionof":"S2-2412662","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5661.0,"crrevision":4.0,"crcategory":"B","tsg_crp":"SP-241486","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412725.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412726","title":"Reply LS on AIML data collection","source":"SA WG2","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"LS out","for":"Approval","abstract":"To: TSG RAN, TSG SA. CC: RAN WG1, RAN WG2, RAN WG3, SA WG3, SA WG5","secretary_remarks":"Revision of S2-2412461. Agreed in parallel session. Block approved","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23360,"status":"approved","reservation_date":"2024-11-20 20:10:13","uploaded":"2024-11-25 06:51:08","revisionof":"S2-2412461","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"NR_AIML_air"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"S2-2411455","lsto":"TSG RAN, TSG SA","Cc":"RAN WG1, RAN WG2, RAN WG3, SA WG3, SA WG5","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412726.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412727","title":"LMF enhancements for LMF-based AI\/ML Positioning","source":"Huawei, HiSilicon, NTT DOCOMO, Nokia, Xiaomi, Lenovo","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce a new procedure of Location Measurement data collection from LMF for NWDAF side AI\/ML positioning ML model training. Define new LMF services for the data collection for NWDAF side AI\/ML positioning ML model training. Other enhancements based on conclusions for KI#1 in TR 23.700-84.","secretary_remarks":"Revision of S2-2412425. Noted in parallel session","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22380,"status":"noted","reservation_date":"2024-11-20 20:10:13","uploaded":"2024-11-25 06:51:08","revisionof":"S2-2412425","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":574.0,"crrevision":11.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412727.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412728","title":"Addressing the EN about model provision for AI positioning","source":"Vivo, Qualcomm Incorporated, ChinaTelecom, OPPO, Xiaomi, Nokia, Ericsson","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Address the ENs on how MTLF indicates supporting model training for the LMF-based AI\/ML positioning. use a service identifier or an indication of supporting ML Model training for LMF-based AI\/ML Positioning","secretary_remarks":"Revision of S2-2412427. Agreed in parallel session. Block approved","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22440,"status":"agreed","reservation_date":"2024-11-20 20:10:13","uploaded":"2024-11-25 06:51:08","revisionof":"S2-2412427","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1196.0,"crrevision":6.0,"crcategory":"B","tsg_crp":"SP-241486","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412728.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412729","title":"Update on Data Collection by LMF procedure","source":"Lenovo, Qualcomm, Huawei, vivo, nokia, xiaomi","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The following clarifications are made: LMF may be triggered by NWDAF to collect data for training an AIML model for Direct AIML positioning Rev 1 includes changes from S2-2410673 - Clarify the interaction between AMF and LMF in step 2. - Clarify the procedure between LMF and UE in step 4.","secretary_remarks":"Revision of S2-2412428. Revised in parallel session to S2-2412931.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22470,"status":"revised","reservation_date":"2024-11-20 20:10:13","uploaded":"2024-11-25 06:51:08","revisionof":"S2-2412428","revisedto":"S2-2412931","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":584.0,"crrevision":10.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412729.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412730","title":"KI#1 - Addressing Editor s Note: Procedure for Data Collection for AI\/ML based positioning from NG-RAN","source":"Ericsson, Xiaomi, Nokia, Interdigital, Apple","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Updates to CR on data collection from NG-RAN to include checking RAN load and retrieval of a AIML model from NWDAF","secretary_remarks":"Revision of S2-2412429. Revised in parallel session to S2-2412932.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22510,"status":"revised","reservation_date":"2024-11-20 20:10:13","uploaded":"2024-11-25 06:51:08","revisionof":"S2-2412429","revisedto":"S2-2412932","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":597.0,"crrevision":12.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412730.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412731","title":"Update the general inference procedure for vertical federated learning to resolve ENs","source":"OPPO, ZTE, Samsung, Nokia, Lenovo, Toyota, ICS, Huawei, HiSilicon, Ericsson, Interdigital, Tencent, ETRI, vivo.","contact":"Jingran Chen","contact-id":100820,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Several ENs are resolved for the VFL inference procedure. Parameter from Analytics subscription such as analytics target and analytics filer is added in the request send from the VFL server to the VFL client and in related replies. The VFL model correlation ID is added when then VFL client send the VFL inference result to the VFL server. Several ENs are refined or removed for the VFL inference procedure.","secretary_remarks":"Revision of S2-2412430. Revised in parallel session to S2-2412933.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22550,"status":"revised","reservation_date":"2024-11-20 20:10:13","uploaded":"2024-11-25 06:51:08","revisionof":"S2-2412430","revisedto":"S2-2412933","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1208.0,"crrevision":11.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412731.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412732","title":"Refinements for VFL feature","source":"Vivo, ICS, LG Electronics?, InterDigital?, [ZTE], OPPO?, Nokia, Samsung, Ericsson?, Huawei, Lenovo?, KDDI? ETRI","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Modify the existing teminology from FL to HFL; Refine the HFL capability information; Refine the VFL capablity information for NWDAF Add VFL capablity information for AF; Add VFL capability information registration for untrused AF via NEF. Complete the general discovery procedure for VFL process with the case that the AF as the VFL server.","secretary_remarks":"Revision of S2-2412431. Revised in parallel session to S2-2412934.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22590,"status":"revised","reservation_date":"2024-11-20 20:10:13","uploaded":"2024-11-25 06:51:08","revisionof":"S2-2412431","revisedto":"S2-2412934","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1198.0,"crrevision":13.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412732.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412733","title":"General training procedure for Vertical Federated Learning between NWDAF(s) and AF(s)","source":"China Mobile, CATT, ZTE, OPPO, China Telecom, ETRI, Huawei, HiSilicon, Nokia, Futurewei, Samsung, Ericsson","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding new clause for procedure of Vertical Federated Learning when NWDAF is acting as VFL server Removed 3 ENs.","secretary_remarks":"Revision of S2-2412432. Revised in parallel session to S2-2412935.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22630,"status":"revised","reservation_date":"2024-11-20 20:10:13","uploaded":"2024-11-25 06:51:08","revisionof":"S2-2412432","revisedto":"S2-2412935","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1134.0,"crrevision":19.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412733.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412734","title":"High-level description for Vertical Federated Learning when AF is as Server.","source":"KDDI, Ericsson, ZTE, ICS, CMCC, ETRI, Huawei, Samsung, Apple, OPPO","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 5.4 is modified to resolve some Editor Notes. Change of the sample in the VFL procedure is not supported in this release. Editor's Note: Whether and how change of samples during a VFL training is supported is FFS. Terminology is aligned. Editor's note: Terminology will be aligned to clause 6.2H.2 in future meeting. The detailed references are added. Editor's note: Detailed references to clause 6.2H.2 will be added in future meeting. The ENs are modified to 'Editor's note: If additional functionality is specified in clause 6.2H, the reference to the corresponding clause will be added'. If the functionality is specified, the feature alignment, accuracy monitoring, and\/or any other additional functionality will be detailed in clause 6.2H. In the case, only the reference will be documented in clause 5.4. Editor's note: Details regarding features alignment functionality or whether the functionality needs to be specified are FFS. And Editor's note: Whether and how to provide initial model from VFL server to VFL clients based on VFL client request is FFS. And Editor's note: Accuracy monitoring in VFL when VFL server is NWDAF is FFS. In this release, when NWDAF is acting as VFL server or VFL client, the NWDAF is assumed to be containing both AnLF and MTLF. Editor's note: For an NWDAF impacts of the split into AnLF and MTLF are FFS.","secretary_remarks":"Revision of S2-2412433. Agreed in parallel session. Block approved","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22680,"status":"agreed","reservation_date":"2024-11-20 20:10:13","uploaded":"2024-11-25 06:51:08","revisionof":"S2-2412433","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1161.0,"crrevision":9.0,"crcategory":"B","tsg_crp":"SP-241486","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412734.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412735","title":"VFL support during the discovery of NWDAF, NEF, and AF instances","source":"[ICS, InterDigital, Futurewei, Ericsson, Nokia , Huawei, LG Electronics, KDDI, ETRI, NTT DOCOMO, MediaTek Inc., Lenovo, BT, Samsung, OPPO, ZTE, Vivo","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 6.3.13 includes VFL-related parameters 6.3.25 includes an indication that AF can be discovered based on the VFL capability 6.2.6.2 includes some information regarding VFL in the NF profile","secretary_remarks":"Revision of S2-2412434. Revised in parallel session to S2-2412936.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22710,"status":"revised","reservation_date":"2024-11-20 20:10:13","uploaded":"2024-11-25 06:51:08","revisionof":"S2-2412434","revisedto":"S2-2412936","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5630.0,"crrevision":5.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412735.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412742","title":"LS from RAN WG3: Reply LS on AIML data collection","source":"RAN WG3 (R3-247801)","contact":"Jiajun Chen","contact-id":84462,"tdoctype":"LS in","for":"Action","abstract":"RAN WG3 thanks SA WG2 for the reply LS on AIML Data Collection in R3-247017. For Question 1, RAN WG3 does not have enough information to respond on NG-RAN involvement for UE-side data collection. Action: RAN WG3 kindly ask SA WG2 to take information above into account.","secretary_remarks":"Received at meeting. Postponed","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23270,"status":"postponed","reservation_date":"2024-11-20 20:10:15","uploaded":"2024-11-25 06:51:08","revisionof":"S2-2412621","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG2","Cc":"RAN WG2, TSG SA, TSG RAN, SA WG3, SA WG5","lsoriginalls":"R3-247801","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412742.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412885","title":"KI#2 Update of VFL training and inference","source":"Ericsson, ETRI, InterDigital, ICS, OPPO, Lenovo, Vivo, Nokia, Apple, Samsung, Futurewei, ZTE, Huawei","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Changes in 5.4: 1) Added that Vertical Federated learning is a machine learning techinique working without exchanging\/sharing of local data set nor ML models 2) Editor's note: Support for AF acting as VFL server selecting multiple NWDAFs is FFS. Is solved by introducing: - An AF acting as VFL server discovers and selects VFL client(s) (NWDAF(s)) to participate in a VFL procedure. 3) Editor's note: Details regarding Sample alignment and features alignment functionality or whether the functionality needs to be specified are FFS. Is solved in procedure procedure for preparation phase Editor's note: For an NWDAF impacts of the split into AnLF and MTLF are FFS. are solved in procedure clauses, where NWDAFs being part of inference have earlier been part of training. 4) Adding where the procedures are described Changes in 6.2F.2: Clarifying that some parameters are needed for VFL. Changes in rev.4 Solving parts of follwing EN Editor's note: Whether new information for interoperatbility when using VFL, such as the VFL Interoperability information, convergence reports or whether inference needs new indicators or not is FFS. Changes in 6.2H Added Preparation procedure Alignments including Sample and feature alignment is done in this phase Changes in rev.4 Solving the EN Editor s note: Clarifications which parameters are regarded as requirements and can be modified by the VFL client is required by adding that this info is given in 6.2H.2 The last part of Editor s note: It is ffs whether the VFL client can only reduce the requirements (e.g. samples) or also add new requirements. It is also ffs whether step 1 needs to be repeated if requirements have been reduced by the VFL client. Is solved, by adding that the decision is up to server (which might deem it to be necessary since it would like to change for all clients after receiviing first possible agreed requirements. Introduce External NWDAF ID, which replaces the discussed Temporary NWDAF ID. How NEF comes up with the External NWADF ID is implementation specifics. The External NWDAF ID is kept over long time including training and inference. See no need to introduce new flag so remove Editor's Note: Whether to extend the existing ML Preparation Flag for reuse or introduce a new flag dedicated for VFL preparation is FFS. Since the service names will be discussed in coming meeting, uses the generic service name Nnf_VFLOperation while adding a new EN: Editor's note: The service operation names used for VFL operations in the procedures below are FFS","secretary_remarks":"Revision of S2-2412436. Agreed in parallel session. Block approved","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22750,"status":"agreed","reservation_date":"2024-11-25 06:26:24","uploaded":"2024-11-25 06:51:09","revisionof":"S2-2412436","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1246.0,"crrevision":8.0,"crcategory":"B","tsg_crp":"SP-241486","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412885.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412886","title":"KI#2: VFL services","source":"Nokia, LG Electronics, NTT DOCOMO","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Define new services to support VFL","secretary_remarks":"Revision of S2-2412435. Revised in parallel session to S2-2412937.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22780,"status":"revised","reservation_date":"2024-11-25 06:26:25","uploaded":"2024-11-25 06:51:09","revisionof":"S2-2412435","revisedto":"S2-2412937","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1236.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412886.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412887","title":"Event exposure service enhancement to support signalling storm data collection","source":"China Telecom, Huawei, HiSilicon, Nokia, Oracle, SK Telecom, Verizon","contact":"Jiahui LI","contact-id":92933,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add signalling storm related input data as event exposure in Namf_EventExposure service; Add signalling storm related input data as evemt exposure in Npcf_EventExposure service. Add signalling storm related input data as event exposure in Nsmf_EventExposure service; Add signalling storm related input data as event exposure in Naf_EventExposure service; Add signalling storm related input data as NF status in Nnrf_NFManagement service.","secretary_remarks":"Revision of S2-2412443. Revised in parallel session to S2-2412942.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23170,"status":"revised","reservation_date":"2024-11-25 06:26:26","uploaded":"2024-11-25 06:51:09","revisionof":"S2-2412443","revisedto":"S2-2412942","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5148.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412887.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412888","title":"Support of QoS and policy assistance analytics","source":"Samsung, China Mobile, ETRI, ICS, InterDigital Inc., MediaTek Inc, NTT DOCOMO, OPPO, SK Telecom, Tencent, Tencent Cloud, vivo, CATT, Huawei, Apple, Lenovo, Futurewei, Nokia","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce a new NWDAF-based QoS and Policy Assistance Analytics ID to support QoS and policy enhancement based on concluded Principle 1 for KI#3.","secretary_remarks":"Revision of S2-2412459. Revised in parallel session to S2-2412938.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22830,"status":"revised","reservation_date":"2024-11-25 06:26:26","uploaded":"2024-11-25 06:51:09","revisionof":"S2-2412459","revisedto":"S2-2412938","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1132.0,"crrevision":10.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412888.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.x (new), 6.x.1 (new), 6.x.2 (new), 6.x.3 (new), 6.x.4 (new), 7.1, 7.2.2, 7.3.2  ","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412889","title":"[DRAFT] LS on User Privacy Aspects of LMF-based AI\/ML Positioning","source":"Apple","contact":"David Gutierrez Estevez","contact-id":108111,"tdoctype":"LS out","for":"Approval","abstract":"LS on User Privacy Aspects of LMF-based AI\/ML positioning","secretary_remarks":"Revision of S2-2412440. Revised in parallel session to S2-2412940.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22920,"status":"revised","reservation_date":"2024-11-25 06:26:27","uploaded":"2024-11-25 06:51:09","revisionof":"S2-2412440","revisedto":"S2-2412940","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG3","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412889.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412890","title":"LS on ML Model provisioning by OAM to LMF for UE positioning","source":"SA WG2","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"LS out","for":"Approval","abstract":"This is an LS to SA WG5 to clarify ML model provisioning by OAM to LMF","secretary_remarks":"Revision of S2-2412442. Agreed in parallel session. Block approved","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22980,"status":"approved","reservation_date":"2024-11-25 06:26:27","uploaded":"2024-11-25 06:51:09","revisionof":"S2-2412442","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG5","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412890.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412929","title":"Enhancement to NRF s discovery and registration procedures to support VFL","source":"ICS, InterDigital, Futurewei, Nokia, Ericsson, Lenovo, LG Electronics","contact":"Morteza Kheirkhah","contact-id":105251,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introducing VFL related supports in NRF. Introducing a new VFL capability type container. Updating existng FL to HFL.","secretary_remarks":"Revision of S2-2412460. Agreed in parallel session. Block approved","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23070,"status":"agreed","reservation_date":"2024-11-25 06:26:56","uploaded":"2024-11-25 06:51:09","revisionof":"S2-2412460","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5124.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"SP-241486","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412929.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412930","title":"NWDAF collects data from LCS to train ML model for AI positioning","source":"Vivo, Nokia","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: NWDAF collects positioning data directly from LMF in order to train ML model for AI positioning. LMF can be the consumer of ADRF Data Management service.","secretary_remarks":"Revision of S2-2412458. Agreed in parallel session. Block approved","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23730,"status":"agreed","reservation_date":"2024-11-25 06:26:57","uploaded":"2024-11-25 06:51:10","revisionof":"S2-2412458","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1201.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"SP-241486","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412930.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.2.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412931","title":"Update on Data Collection by LMF procedure","source":"Lenovo, Qualcomm, Huawei, vivo, Nokia, Xiaomi","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The following clarifications are made: LMF may be triggered by NWDAF to collect data for training an AIML model for Direct AIML positioning Rev 1 includes changes from S2-2410673 - Clarify the interaction between AMF and LMF in step 2. - Clarify the procedure between LMF and UE in step 4.","secretary_remarks":"Revision of S2-2412729. Agreed in parallel session. Block approved","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22480,"status":"agreed","reservation_date":"2024-11-25 06:26:57","uploaded":"2024-11-25 06:51:10","revisionof":"S2-2412729","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":584.0,"crrevision":11.0,"crcategory":"B","tsg_crp":"SP-241486","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412931.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":true,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18.1, 6.X (new), 6.x.1 (new), 6.x.2 (new), 6.3.x (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412932","title":"KI#1 - Addressing Editor s Note: Procedure for Data Collection for AI\/ML based positioning from NG-RAN","source":"Ericsson, Xiaomi, Nokia, Interdigital, Apple, Lenovo, CATT","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Updates to CR on data collection from NG-RAN to include checking RAN load and retrieval of a AIML model from NWDAF","secretary_remarks":"Revision of S2-2412730. Agreed in parallel session. Block approved","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22520,"status":"agreed","reservation_date":"2024-11-25 06:26:58","uploaded":"2024-11-25 06:51:10","revisionof":"S2-2412730","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":597.0,"crrevision":13.0,"crcategory":"B","tsg_crp":"SP-241486","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412932.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18, 6.x.3 (new), 6.x.y (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412933","title":"Update the general inference procedure for vertical federated learning to resolve ENs","source":"OPPO, ZTE, Samsung, Nokia, Lenovo, Toyota, ICS, Huawei, HiSilicon, Ericsson, InterDigital, Tencent, ETRI, Vivo, Apple.","contact":"Jingran Chen","contact-id":100820,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Several ENs are resolved for the VFL inference procedure. Parameter from Analytics subscription such as analytics target and analytics filer is added in the request send from the VFL server to the VFL client and in related replies. The VFL model correlation ID is added when then VFL client send the VFL inference result to the VFL server. Several ENs are refined or removed for the VFL inference procedure.","secretary_remarks":"Revision of S2-2412731. Agreed in parallel session. Block approved","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22560,"status":"agreed","reservation_date":"2024-11-25 06:26:59","uploaded":"2024-11-25 06:51:10","revisionof":"S2-2412731","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1208.0,"crrevision":12.0,"crcategory":"B","tsg_crp":"SP-241486","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412933.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2G, 6.2H.1, 6.2H.2.4(new), 6.2H.2.4.1 (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412934","title":"Refinements for VFL feature","source":"Vivo, ICS, LG Electronics, InterDigital, ZTE, OPPO, Nokia, Samsung, Ericsson, Huawei, Lenovo, KDDI, ETRI","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Modify the existing teminology from FL to HFL; Refine the HFL capability information; Refine the VFL capablity information for NWDAF Add VFL capablity information for AF; Add VFL capability information registration for untrused AF via NEF. Complete the general discovery procedure for VFL process with the case that the AF as the VFL server.","secretary_remarks":"Revision of S2-2412732. Agreed in parallel session. Block approved","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22600,"status":"agreed","reservation_date":"2024-11-25 06:27:00","uploaded":"2024-11-25 06:51:10","revisionof":"S2-2412732","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1198.0,"crrevision":14.0,"crcategory":"B","tsg_crp":"SP-241486","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412934.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 5.X(new), 6.2H, 6.2H.1, 6.2H.2, 6.2H.2.1, 6.2H.2.1.1 (new), 6.2H.2.1.2 (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412935","title":"General training procedure for Vertical Federated Learning between NWDAF(s) and AF(s)","source":"China Mobile, CATT, ZTE, OPPO, China Telecom, ETRI, Huawei, HiSilicon, Nokia, Futurewei, Samsung, Ericsson","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding new clause for procedure of Vertical Federated Learning when NWDAF is acting as VFL server Removed 3 ENs.","secretary_remarks":"Revision of S2-2412733. Agreed in parallel session. Revised to S2-2413023.","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22640,"status":"revised","reservation_date":"2024-11-25 06:27:00","uploaded":"2024-11-25 06:51:10","revisionof":"S2-2412733","revisedto":"S2-2413023","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1134.0,"crrevision":20.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412935.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3 (new), 6.2H.2.3.1 (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412936","title":"VFL support during the discovery of NWDAF, NEF, and AF instances","source":"ICS, InterDigital, Futurewei, Ericsson, Nokia , Huawei, LG Electronics, KDDI, ETRI, NTT DOCOMO, MediaTek Inc., Lenovo, BT, Samsung, OPPO, ZTE, Vivo","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 6.3.13 includes VFL-related parameters 6.3.25 includes an indication that AF can be discovered based on the VFL capability 6.2.6.2 includes some information regarding VFL in the NF profile","secretary_remarks":"Revision of S2-2412735. Postponed","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22720,"status":"postponed","reservation_date":"2024-11-25 06:27:01","uploaded":"2024-11-25 06:51:10","revisionof":"S2-2412735","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5630.0,"crrevision":6.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412936.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412937","title":"KI#2: VFL services","source":"Nokia, LG Electronics, NTT DOCOMO","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Define new services to support VFL","secretary_remarks":"Revision of S2-2412886. Postponed","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22790,"status":"postponed","reservation_date":"2024-11-25 06:27:02","uploaded":"2024-11-25 06:51:10","revisionof":"S2-2412886","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1236.0,"crrevision":4.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412937.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"7.1, new 7.X, new 7.Y, new X, new Y","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412938","title":"Support of QoS and policy assistance analytics","source":"Samsung, China Mobile, ETRI, ICS, InterDigital Inc., MediaTek Inc, NTT DOCOMO, OPPO, SK Telecom, Tencent, Tencent Cloud, vivo, CATT, Huawei, Apple, Lenovo, Futurewei, Nokia, China Telecom","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce a new NWDAF-based QoS and Policy Assistance Analytics ID to support QoS and policy enhancement based on concluded Principle 1 for KI#3.","secretary_remarks":"Revision of S2-2412888. Agreed in parallel session. Block approved","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22840,"status":"agreed","reservation_date":"2024-11-25 06:27:02","uploaded":"2024-11-25 06:51:10","revisionof":"S2-2412888","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1132.0,"crrevision":11.0,"crcategory":"B","tsg_crp":"SP-241486","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412938.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.x (new), 6.x.1 (new), 6.x.2 (new), 6.x.3 (new), 6.x.4 (new), 7.1, 7.2.2, 7.3.2  ","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412939","title":"New analytics ID to support Signalling storm Mitigation and Prevention","source":"SK Telecom, Samsung, Verizon, AT&T, China Mobile, ETRI, KPN N.V., LG Uplus, Rakuten Mobile, ZTE, China Telecom, Nokia, Ericsson, Lenovo, OPPO, NTT DOCOMO, Huawei, HiSilicon, KDDI, vivo, Oracle","contact":"DongJin Lee","contact-id":65921,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Removed OAM and MDAF\/MDAS from analytics consumer. Deleted some dulplicate information, clean ups including typos. Deleted Target indicent ID as it is represented in the Cause in the output analytics. Updated Target Analytics report to include SUPI\/GPSI range. Added NRF as the data source of NRF related information. Added time slot entry in the output and deleted bullet of the optional signaling information. Mentioned the SCP in the general description and the procedure description. Deleted EN of Additional Analytic Filter information. Missing parameters are added. Updated the 6.x.4.-1 Figure to be Visio-editable.","secretary_remarks":"Revision of S2-2412724. Agreed in parallel session. Block approved","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22910,"status":"agreed","reservation_date":"2024-11-25 06:27:03","uploaded":"2024-11-25 06:51:10","revisionof":"S2-2412724","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1104.0,"crrevision":14.0,"crcategory":"B","tsg_crp":"SP-241486","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412939.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412940","title":"LS on User Privacy Aspects of LMF-based AI\/ML positioning","source":"SA WG2","contact":"David Gutierrez Estevez","contact-id":108111,"tdoctype":"LS out","for":"Approval","abstract":"To: SA WG3","secretary_remarks":"Revision of S2-2412889. Agreed in parallel session. Block approved","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22930,"status":"approved","reservation_date":"2024-11-25 06:27:04","uploaded":"2024-11-25 06:51:10","revisionof":"S2-2412889","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG3","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412940.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412941","title":"Support AI\/ML model performance monitoring by NWDAF","source":"Xiaomi, Nokia, Ericsson, Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: To add feature description for AI\/ML Model performance monitoring in NWDAF side by referring to data collection by NWDAF with additional enhancements.","secretary_remarks":"Revision of S2-2412426. Agreed in parallel session. Block approved","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22410,"status":"agreed","reservation_date":"2024-11-25 06:27:04","uploaded":"2024-11-25 06:51:10","revisionof":"S2-2412426","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1253.0,"crrevision":6.0,"crcategory":"B","tsg_crp":"SP-241486","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412941.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2412942","title":"Event exposure service enhancement to support signalling storm data collection","source":"China Telecom, Huawei, HiSilicon, Nokia, Oracle, SK Telecom, Verizon","contact":"Jiahui LI","contact-id":92933,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add signalling storm related input data as event exposure in Namf_EventExposure service; Add signalling storm related input data as evemt exposure in Npcf_EventExposure service. Add signalling storm related input data as event exposure in Nsmf_EventExposure service; Add signalling storm related input data as event exposure in Naf_EventExposure service; Add signalling storm related input data as NF status in Nnrf_NFManagement service.","secretary_remarks":"Revision of S2-2412887. Agreed in parallel session. Block approved","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":23180,"status":"agreed","reservation_date":"2024-11-25 06:27:05","uploaded":"2024-11-25 06:51:10","revisionof":"S2-2412887","revisedto":"SP-241838","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5148.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"SP-241486","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2412942.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2413023","title":"General training procedure for Vertical Federated Learning between NWDAF(s) and AF(s)","source":"China Mobile, CATT, ZTE, OPPO, China Telecom, ETRI, Huawei, HiSilicon, Nokia, Futurewei, Samsung, Ericsson, InterDigital, Apple, Lenovo, Vivo","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding new clause for procedure of Vertical Federated Learning when NWDAF is acting as VFL server Removed 3 ENs.","secretary_remarks":"Revision of S2-2412935. This CR was agreed","agenda_item_sort_order":140,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":22650,"status":"agreed","reservation_date":"2024-11-25 06:27:37","uploaded":"2024-11-25 06:51:10","revisionof":"S2-2412935","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1134.0,"crrevision":21.0,"crcategory":"B","tsg_crp":"SP-241486","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166_Orlando_2024-11\/Docs\/S2-2413023.zip","group":"S2","meeting":"S2-166","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500004","title":"LS from ITU-T SG13: LS on consent of draft new Recommendation ITU-T Y.3186 (ex Y.IMT2020-DJLML) 'Requirements and framework for distributed joint learning to enable machine learning in future networks including IMT-2020'","source":"ITU-T SG13","contact":"Maurice Pope","contact-id":648,"tdoctype":"LS in","for":"Action","abstract":"This liaison statement informs ITU-T SG2, ITU-T SG11, SA WG1 and SA WG2 about the consent of new draft Recommendation ITU-T Y.3186 (formerly Y.IMT2020-DJLML) 'Requirements and framework for distributed joint learning to enable machine learning in future networks including IMT-2020'.","secretary_remarks":"Noted in e-mail session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20920,"status":"noted","reservation_date":"2024-12-06 13:48:11","uploaded":"2024-12-29 12:18:51","revisionof":"","revisedto":"","release":"","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"ITU-T SG2, SG11","Cc":"SA WG1, SA WG2","lsoriginalls":"SG13-LS170","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500004.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500005","title":"LS from RAN WG1: Reply LS on data collection to enable ML model training and inference in 5GC for Direct AI\/ML based positioning","source":"RAN WG1","contact":"Maurice Pope","contact-id":648,"tdoctype":"LS in","for":"Information","abstract":"RAN WG1 thanks SA WG2 for the LS on data collection to enable ML model training and inference in 5GC for direct AI\/ML based positioning. RAN WG1 would like to provide the responses to the following questions in SA WG2 LS (S2-2405833) based on RAN WG1 progress up to RAN WG1#117 meeting. {. . .}. Furthermore, RAN WG1 would like to notify SA WG2 of the following: (a) RAN WG1 is still working on further details of training data collection and model inference of Case 3b and 2b. RAN WG1 may provide additional input to SA WG2 in the future. (b) For the related RAN work item (NR_AIML_air), Rel-19 WID (RP-240774) has assigned Case 3b 1st priority, and Case 2b 2nd priority. (c) Note: in RAN WG1 agreement, 'AI\/ML based positioning' by itself refers to all positioning cases, including Case 3b and 2b. (d) Note: the working assumptions and agreements above are based on RAN WG1 understanding for RAN work item (NR_AIML_air). Action: RAN WG1 respectfully asks SA WG2 to take the above into account in their future work.","secretary_remarks":"Postponed in e-mail session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19860,"status":"postponed","reservation_date":"2024-12-06 13:48:11","uploaded":"2024-12-29 12:18:51","revisionof":"","revisedto":"S2-2501357","release":"","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG2","Cc":"RAN WG2, RAN WG3","lsoriginalls":"R1-2405578","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500005.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500009","title":"LS from SA WG5: LS reply on terminology definitions for AI-ML in NG-RAN","source":"SA WG5","contact":"Maurice Pope","contact-id":648,"tdoctype":"LS in","for":"Action","abstract":"SA WG5 would like to thank RAN WG3 for their LS regarding the AI\/ML related terminologies. SA WG5 would like to inform RAN WG3 and RAN WG2 that SA WG5 has recently discussed and agreed further clarifications to the terminologies in TS 28.105. The corresponding approved CRs have now been reflected in the latest updated specifications in TS 28.105 v18.4.0. The updated terms and definitions clause is shown herewith for your convenience: {. . .}","secretary_remarks":"Noted in e-mail session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20930,"status":"noted","reservation_date":"2024-12-06 13:48:11","uploaded":"2024-12-29 12:18:51","revisionof":"","revisedto":"","release":"","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG2, RAN WG3","Cc":"SA WG6, SA WG2, TSG SA, RAN WG1, TSG RAN","lsoriginalls":"S5-244660","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500009.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500017","title":"LS from SA WG5: Reply LS on AIML Data Collection","source":"SA WG5","contact":"Maurice Pope","contact-id":648,"tdoctype":"LS in","for":"Action","abstract":"SA WG5 received LS from RAN on AIML data collection in S5-245373\/RP-242389. The LS provides an analysis of different data collection options for UE-side model training. SA WG5 thanks RAN for sharing the requirements for data collection. {. . .} Summary: 4-1. SA WG5 would like to ask RAN WG2 to clarify the below two questions for option 1b, 2 and 3. - Whether 'Server for data collection for UE-side model training' is controlled by operators. - What standardized data is to be collected. 4-2. The feasibility of the CP tunnel approach using MDT measurements discussed as part of option 3 is to be studied including RAN requirements of full controllability, full visibility and future-proofness. The feasibility of the UP tunnel indicated in option 3 between UE and OAM need to be studied including RAN requirements of full controllability, full visibility and future-proofness. 4-3. For option 1b and option 2, there may be management and control requirements for SA WG5. Therefore, SA WG5 should be involved in the discussion of option1b and option2.","secretary_remarks":"Noted in e-mail session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20840,"status":"noted","reservation_date":"2024-12-06 13:48:12","uploaded":"2024-12-29 12:18:51","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG2","Cc":"TSG RAN, RAN WG1, RAN WG2, RAN WG3, TSG SA, SA WG2, SA WG3","lsoriginalls":"S5-246299","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500017.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500020","title":"LS from SA WG3: Reply LS on AIML data collection","source":"SA WG3","contact":"Maurice Pope","contact-id":648,"tdoctype":"LS in","for":"Information","abstract":"SA WG3 thanks TSG RAN for the LS on the AIML data collection. After reviewing the initial RAN requirements on UE-side data collection for UE-side model sharing, below are SA WG3 inputs, including request for further clarifications: a) SA WG3 needs clarification on the RAN security requirement 'The data collected is secured and data integrity and confidentiality for that data is ensured'. SA WG3 would like to understand whether the collected data is to be secured at the time of collection (i.e. within the UE (storage)), and\/or during communication. b) SA WG3 will require more inputs on type of data to be collected, to better assess the sensitivity of the information conveyed by the data and to study appropriate solutions for the RAN (security) requirement on 'User data privacy, anonymity and user consent is respected'. Once the final architecture decision\/solution is made in RAN WG2\/SA WG2, SA WG3 will perform a detailed security assessment and study on the security mechanisms for this feature.","secretary_remarks":"Noted in e-mail session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20850,"status":"noted","reservation_date":"2024-12-06 13:48:12","uploaded":"2024-12-29 12:18:51","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"TSG RAN","Cc":"RAN WG2, TSG SA, SA WG1, SA WG2, SA WG5","lsoriginalls":"S3-245138","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500020.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500024","title":"LS from RAN WG2: Reply LS to SA WG5 on AIML data collection","source":"RAN WG2","contact":"Maurice Pope","contact-id":648,"tdoctype":"LS in","for":"Action","abstract":"RAN WG2 thanks SA WG5 for the Reply LS on AIML Data Collection (S5-246299\/ R2-2409532). RAN WG2 has concluded the following answers for the questions of the LS as below. SA WG5's question 'Is the 'Server for data collection for UE-side model training' controlled by operators?' RAN WG2's answer: The controllability requirement is referring to the controlling of the data collection\/transfer process without an SLA. RAN WG2 has assumed when discussing the solutions captured in the TR that the server for data collection for UE-side model training is within the MNO. RAN WG2 assumes that if it is in the MNO it will also be controlled by the MNO. SA WG5's question 'What standardized data is to be collected?' RAN WG2's answer: No final agreement has been made in RAN WGs regarding the standardized data to be collected. Some examples can be found in R1-2310681.","secretary_remarks":"Noted in e-mail session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20870,"status":"noted","reservation_date":"2024-12-06 13:48:12","uploaded":"2024-12-29 12:18:51","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"-","Cc":"","lsoriginalls":"R2-2411114","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500024.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500025","title":"LS from RAN WG2: Reply LS to SA WG2 on AIML data collection","source":"RAN WG2","contact":"Maurice Pope","contact-id":648,"tdoctype":"LS in","for":"Action","abstract":"RAN WG2 thanks SA WG2 for the Reply LS on AIML Data Collection (S2-2411191\/ R2-2409527). RAN WG2 has concluded the following answers for the questions of the LS as below. {. . .} Action: RAN WG2 respectfully asks SA WG2 to take the above answers into consideration.","secretary_remarks":"Noted in e-mail session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20860,"status":"noted","reservation_date":"2024-12-06 13:48:12","uploaded":"2024-12-29 12:18:51","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"-","Cc":"","lsoriginalls":"R2-2411152","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500025.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500026","title":"LS from RAN WG3: Reply LS on AIML data collection","source":"RAN WG3","contact":"Maurice Pope","contact-id":648,"tdoctype":"LS in","for":"Information","abstract":"RAN WG3 thanks SA WG2 for the reply LS on AIML Data Collection in R3-247017. For Question 1, RAN WG3 does not have enough information to respond on NG-RAN involvement for UE-side data collection. Action: RAN WG3 kindly ask SA WG2 to take information above into account.","secretary_remarks":"Noted in e-mail session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20880,"status":"noted","reservation_date":"2024-12-06 13:48:12","uploaded":"2024-12-29 12:18:51","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG2","Cc":"RAN WG2, TSG SA, TSG RAN, SA WG3, SA WG5","lsoriginalls":"R3-247801","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500026.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500041","title":"LS from RAN WG1: LS on signalling feasibility of dataset and parameter sharing","source":"RAN WG1","contact":"Maurice Pope","contact-id":648,"tdoctype":"LS in","for":"Information","abstract":"The Rel-19 two-sided AI\/ML CSI compression study for AI\/ML Air Interface has the following study objectives (RP-242399; revision of RP-240774) {. . .}","secretary_remarks":"Responses drafted in S2-2500320, S2-2500827. CC#4: Postponed","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20940,"status":"postponed","reservation_date":"2024-12-06 13:48:12","uploaded":"2024-12-29 12:18:51","revisionof":"","revisedto":"S2-2501364","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG2","Cc":"SA WG2, SA WG3","lsoriginalls":"R1-2410922","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500041.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500055","title":"LS from TSG RAN: LS on AI\/ML UE sided data collection","source":"TSG RAN","contact":"Maurice Pope","contact-id":648,"tdoctype":"LS in","for":"Action","abstract":"TSG RAN respectfully thanks SA WG WG2\/SA WG5 for their response LSs on AI\/ML UE side data collection. TSG RAN continued further discussions in RAN#106 and has agreed to a way forward in RP-243307. {. .}. Action: TSG RAN kindly asks TSG SA to start studying the transfer of data over UP for solution 2 in SA WG WG2 and transfer of data over UP for solution 3 in SA WG WG5 and provide feedback to TSG RAN and RAN WG WG2.","secretary_remarks":"Postponed in e-mail session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20890,"status":"postponed","reservation_date":"2024-12-06 13:48:12","uploaded":"2024-12-29 12:18:51","revisionof":"","revisedto":"S2-2501372","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"TSG SA, SA WG2","Cc":"RAN WG2","lsoriginalls":"RP-243316","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500055.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500069","title":"LS from SA WG5: Reply LS on AIML Data Collection","source":"SA WG5","contact":"Maurice Pope","contact-id":648,"tdoctype":"LS in","for":"Information","abstract":"SA WG5 thanks TSG RAN for the LS on the AIML data collection described in S5-245373\/RP-242389. SA WG5 has asked further clarification from RAN WG2 whether the 'Server for data collection for UE-side model training' is controlled by MNO and the details on standardized data to be collected. We have received a response in S5-247127\/R2-2411114. {. . .}","secretary_remarks":"Noted in e-mail session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20900,"status":"noted","reservation_date":"2024-12-29 10:58:22","uploaded":"2024-12-29 12:18:51","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"TSG RAN","Cc":"TSG SA, SA WG2, SA WG3, RAN WG1, RAN WG2","lsoriginalls":"S5-247219","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500069.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500071","title":"LS from SA WG5: Reply LS on AIML Data Collection","source":"SA WG5","contact":"Maurice Pope","contact-id":648,"tdoctype":"LS in","for":"Information","abstract":"SA WG5 thanks RAN WG2 for the reply LS on AIML data collection. Regarding the answer from RAN WG2 'RAN WG2's answer: The controllability requirement is referring to the controlling of the data collection\/transfer process without an SLA. RAN WG2 has assumed when discussing the solutions captured in the TR that the server for data collection for UE-side model training is within the MNO. RAN WG2 assumes that if it is in the MNO it will also be controlled by the MNO.' Further investigations are needed, in SA WG5, to manage the server responsible for UE data collection\/transfer process.","secretary_remarks":"Noted in e-mail session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20910,"status":"noted","reservation_date":"2024-12-29 10:58:22","uploaded":"2024-12-29 12:18:51","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG2","Cc":"TSG SA, SA WG2, SA WG3, RAN WG1, TSG RAN","lsoriginalls":"S5-247336","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500071.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500081","title":"KI#1 and KI#2 alignment","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add agreed VFL capability of AF and NWDAF to be registered NRF. Add agreed functionality of AF and NWDAF for VFL. Add agreed service operation of LMF. Add agreed functionality of NEF. Modify FL sever\/client to HFL server and client.","secretary_remarks":"r04 agreedrevised in e-mail session to S2-2501147, merging S2-2500302","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20590,"status":"revised","reservation_date":"2024-12-31 02:24:22","uploaded":"2025-01-13 01:12:29","revisionof":"","revisedto":"S2-2501147","release":"Rel-19","crspec":"23.501","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5882.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500081.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.6.2, 6.2.5.0, 6.2.10, 6.2.18, 7.2.16","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500082","title":"VFL definitions","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add Agreed definitions of VFL, HFL and label into definition clause.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21150,"status":"not treated","reservation_date":"2024-12-31 02:24:26","uploaded":"2025-01-13 01:12:29","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1301.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500082.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500083","title":"Modifications on ML Model retrieval service","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that LMF may retrieve ML Model from ADRF.","secretary_remarks":"Approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19990,"status":"agreed","reservation_date":"2024-12-31 02:24:27","uploaded":"2025-01-13 01:12:29","revisionof":"","revisedto":"S2-2501638, S2-2501648","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1302.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500083.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2A.1, 6.2B.7, 10.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500084","title":"Clarifications on VFL inference","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that the VFL inference filter is derived form Analytics filter and target of VFL inference is derived from target of analytics reporting.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21280,"status":"not treated","reservation_date":"2024-12-31 02:24:28","uploaded":"2025-01-13 01:12:29","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1303.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500084.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500085","title":"Clarifications on intermediate training result and intermediate model training information","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify the content inside gradient information and loss information, adding two notes saying that they are up to implementation.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21240,"status":"not treated","reservation_date":"2024-12-31 02:24:29","uploaded":"2025-01-13 01:12:29","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1304.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500085.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500086","title":"Clarification of Nnwdaf_MLModelProvision service","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify in Note 3 that the LMF can be the service consumer of Nnwdaf_MLModelProvision service","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21040,"status":"not treated","reservation_date":"2024-12-31 02:24:30","uploaded":"2025-01-13 01:12:29","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1305.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500086.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"7.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500087","title":"Adding new service consumer for ML Model monitoring in AIML based positioning","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add LMF as the consumer of Nnwdaf_MLModelMonitor_Register service operation.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21050,"status":"not treated","reservation_date":"2024-12-31 02:24:30","uploaded":"2025-01-13 01:12:29","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1306.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500087.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"7.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500088","title":"ML Model retrieval from ADRF","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that LMF may retrieve ML Model from ADRF.","secretary_remarks":"Check Affected Clauses! Merged into S2-2501137","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20000,"status":"merged","reservation_date":"2024-12-31 02:24:31","uploaded":"2025-01-13 01:12:29","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":635.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500088.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500096","title":"Adding data collection source","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding agreed data collection source of NWDAF.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21520,"status":"not treated","reservation_date":"2025-01-02 03:26:24","uploaded":"2025-01-13 01:12:29","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1312.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500096.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"4.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500101","title":"Correction on usage of signalling storm analytics for reliability of NF services","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove the sentence of SCP actions regarding NF service reliability Some editorial updates in clause 5.21.3.3","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21530,"status":"not treated","reservation_date":"2025-01-06 10:15:39","uploaded":"2025-01-13 10:08:21","revisionof":"","revisedto":"S2-2501552","release":"Rel-19","crspec":"23.501","crspecversion":"19.2.1","workitem":[{"winame":"AIML_CN"}],"crnumber":5885.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500101.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.21.3.3, 5.21.3.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500102","title":"Clarifying Signalling Storm Analytics","source":"Huawei, HiSilicon, China Telecom, SK Telecom, Verizon, NTT DOCOMO","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 1, Clarify what type of abnormal signaling is focused in the signaling storm analytics. 2, Clarify the analytics target and filter information 3, Rewording one of the SCP actions in table 6.22.3-3 4, Rewording the signaling storm analyt","secretary_remarks":"r01 agreedrevised in e-mail session to S2-2501153.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20780,"status":"revised","reservation_date":"2025-01-06 10:15:39","uploaded":"2025-01-13 10:08:21","revisionof":"","revisedto":"S2-2501153","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1313.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500102.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.1, 6.22.2, 6.22.3, 7.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500109","title":"KI#1: New LMF Data Exposure service","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The table of LMF service is completed with the Nlmf_DataExposure service as defined in TS 23.273.","secretary_remarks":"Revision of S2-2411362 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21090,"status":"not treated","reservation_date":"2025-01-07 17:36:13","uploaded":"2025-01-10 23:54:44","revisionof":"S2-2411362","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.2.1","workitem":[{"winame":"AIML_CN"}],"crnumber":5665.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500109.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500110","title":"KI#1: Extending NWDAF description to cover model provisioning to LMF","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The NWDAF containing MTLF may train models to be used at the LMF for inference","secretary_remarks":"Revision of S2-2411364 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21100,"status":"not treated","reservation_date":"2025-01-07 20:23:54","uploaded":"2025-01-10 23:54:44","revisionof":"S2-2411364","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.2.1","workitem":[{"winame":"AIML_CN"}],"crnumber":5507.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500110.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500111","title":"KI#1 AMF exposing RAN overload to LMF","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The AMF event exposure service is extended with an event to expose RAN overload Editorial corrections for the bullet about total signalling maessurements","secretary_remarks":"Revision of S2-2411365 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21120,"status":"not treated","reservation_date":"2025-01-07 21:04:20","uploaded":"2025-01-10 23:54:44","revisionof":"S2-2411365","revisedto":"S2-2501450","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5126.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500111.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500112","title":"KI#1: Resolving open issues for LMF data exposure","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Requested type of meassurements (UE based meassurements and\/or NG RAN based meassurements) and target ground truth label precision are added as input parameters to the Nlmf_DataExposure_Subscribe service operation. The LMF indicates the","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21010,"status":"not treated","reservation_date":"2025-01-07 21:20:39","uploaded":"2025-01-10 23:54:44","revisionof":"","revisedto":"S2-2501453","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":636.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500112.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":false,"clauses_affected":"6.22.4, 6.22.5, 8.3.4.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500132","title":"KI#1: Considering RAN load when collecting data to train model for positioning","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The LMF may subscribe at an NWDAF for Network Performance Analytics to select times for data collection when NG-RAN is not experiencing extensive load. The LMF may also subscribe at the AMF to RAN overload information in the area where","secretary_remarks":"CC#4:Postponed","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20050,"status":"postponed","reservation_date":"2025-01-08 14:40:11","uploaded":"2025-01-10 23:54:44","revisionof":"","revisedto":"S2-2501476","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":637.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500132.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":true,"cn_affected":true,"clauses_affected":"6.22.2, 6.22.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500139","title":"KI#2: Updates to VFL training procedures e.g to address trusted AF","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add procedures for trusted AF as VFL server into Clause for untrusted AF as VFL server but work with cross-references for the description of related steps. Add a VFL training iteration number in subscription request for training and in","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21250,"status":"not treated","reservation_date":"2025-01-08 15:58:47","uploaded":"2025-01-10 23:54:44","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1314.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500139.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500140","title":"KI#2: Updates to VFL inference procedures e.g to address trusted AF and handling of parameters from analytics request","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add procedures for trusted AF as VFL server into Clause for untrusted AF as VFL server but work with cross-references for the description of related steps. Add Feature ID and parameters from the Analytics request to inference request Th","secretary_remarks":"Merged into S2-2501345","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20450,"status":"merged","reservation_date":"2025-01-08 16:09:17","uploaded":"2025-01-10 23:54:44","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1315.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500140.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500141","title":"KI#2: Updates to VFL discovery procedures e.g to address trusted AF","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add procedures for trusted AF as VFL server into Clause for untrusted AF as VFL server but work with cross-references for the description of related steps. Added separate step 'trigger for discovery' to procedures for NWDAF as VFL serve","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21170,"status":"not treated","reservation_date":"2025-01-08 16:14:43","uploaded":"2025-01-10 23:54:44","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1316.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500141.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500142","title":"KI#2: Updates to VFL preparation procedures e.g to address trusted AF","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add procedures for trusted AF as VFL server into Clause for untrusted AF as VFL server but work with cross-references for the description of related steps. Remove EN about sample intersection at NEF. Remove EN about interactions between","secretary_remarks":"Revised to S2-2501016","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21190,"status":"revised","reservation_date":"2025-01-08 16:19:58","uploaded":"2025-01-10 23:54:44","revisionof":"","revisedto":"S2-2501016","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1317.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500142.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500143","title":"KI#2: New Services for VFL.","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"discussion","for":"Discussion","abstract":"This contribution discusses new services to support VFL. Related changes are proposed in S2-2500144 and S2-2500145.","secretary_remarks":"Revision of S2-2411373 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21290,"status":"not treated","reservation_date":"2025-01-08 16:27:58","uploaded":"2025-01-10 23:54:44","revisionof":"S2-2411373","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500143.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500144","title":"KI#2: VFL services","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Define the following new services to support VFL: Nnwdaf_VflInference, Naf_VflTraining, Naf_VflInference, Nnef_VflTraining, Nnef_VflInference","secretary_remarks":"Revision of S2-2411375 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21390,"status":"not treated","reservation_date":"2025-01-08 16:54:59","uploaded":"2025-01-10 23:54:44","revisionof":"S2-2411375","revisedto":"S2-2501499","release":"Rel-19","crspec":"23.501","crspecversion":"19.2.1","workitem":[{"winame":"AIML_CN"}],"crnumber":5676.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500144.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500145","title":"KI#2: VFL services","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Define new services to support VFL","secretary_remarks":"Revision of S2-2412937. r03 agreed. Revised in e-mail session to S2-2501135.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20470,"status":"revised","reservation_date":"2025-01-08 17:20:49","uploaded":"2025-01-10 23:54:44","revisionof":"S2-2412937","revisedto":"S2-2501135","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1236.0,"crrevision":5.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500145.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500146","title":"KI#2: VFL definitions","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Provide Definitions for Vertical Federated Learning Horizontal Federated Learning Vertical Federated Learning Client Vertical Federated Learning Training Server Label Horizontal Federated Learning Server Horizontal Federaed Learning Cli","secretary_remarks":"Revision of S2-2411376 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21140,"status":"not treated","reservation_date":"2025-01-08 17:52:16","uploaded":"2025-01-10 23:54:44","revisionof":"S2-2411376","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1173.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500146.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500147","title":"KI#2 NEF extensions for VFL","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: NEF discovery and exposing NWDAF(s) NEF enables VFL related informaiton exchane.","secretary_remarks":"Revision of S2-2411378 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21400,"status":"not treated","reservation_date":"2025-01-08 18:01:55","uploaded":"2025-01-10 23:54:44","revisionof":"S2-2411378","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.2.1","workitem":[{"winame":"AIML_CN"}],"crnumber":5598.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500147.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.5.0","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500148","title":"VFL support for the discovery of NWDAF, NEF, and AF instances","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Missing parameters are added to NF profiles of NWDAF, NEF and trusted AF.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21360,"status":"not treated","reservation_date":"2025-01-08 18:19:00","uploaded":"2025-01-10 23:54:44","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.2.1","workitem":[{"winame":"AIML_CN"}],"crnumber":5892.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500148.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500149","title":"VFL support for the discovery of NWDAF, NEF, and AF instances","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Missing parameters are added to NF profiles of trusted AF.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21410,"status":"not treated","reservation_date":"2025-01-08 18:43:26","uploaded":"2025-01-10 23:54:44","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5199.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500149.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500150","title":"KI#2: Model training service is not applicable for VFL","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: It is clarified in the procedures and services description for model training that they are applicable only for 'Horizontal Federated Learning'.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21330,"status":"not treated","reservation_date":"2025-01-08 19:35:16","uploaded":"2025-01-10 23:54:44","revisionof":"","revisedto":"S2-2501491","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1318.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500150.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2F.1, 6.2F.2, 6.2F.3, 7.10.1, 7.11.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500151","title":"QoS and policy assistance analytics update and EN resolution","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce additional parameters in the Analytics Filter and modify the Input Data accordingly so data can be collected with these parameters in mind. Remove the associated EN in clause 6.23.1","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21430,"status":"not treated","reservation_date":"2025-01-08 20:03:32","uploaded":"2025-01-10 23:54:44","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1319.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500151.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500152","title":"Support of QoS and policy assistance analytics","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Update TS23.503 for the 'QoS and policy assistance analytics'","secretary_remarks":"Revision of S2-2411386 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21480,"status":"not treated","reservation_date":"2025-01-08 20:14:29","uploaded":"2025-01-10 23:54:44","revisionof":"S2-2411386","revisedto":"","release":"Rel-19","crspec":"23.503","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1427.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500152.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.1.1.3, 6.2.1.1.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500153","title":"KI#4 Resolve open issues for mitigation actions","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Confirm tentative text bin Ens to allign with TS 23.288","secretary_remarks":"r05 agreedrevised in e-mail session to S2-2501155.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20820,"status":"revised","reservation_date":"2025-01-08 20:33:36","uploaded":"2025-01-10 23:54:44","revisionof":"","revisedto":"S2-2501155","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5200.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500153.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"4.17.9","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500188","title":"Enabling QoS and Policy Assistance Analytics analyse and predict QoE for certain user plane latency","source":"Verizon, Oracle","contact":"Peretz Feder","contact-id":94345,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Packet delay information obtained from OAM is added to the collected input","secretary_remarks":"WI Code should be AIML_CN! Merged into S2-2501149","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20650,"status":"merged","reservation_date":"2025-01-09 23:28:23","uploaded":"2025-01-14 19:07:51","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1321.0,"crrevision":"","crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500188.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500192","title":"Clean up the ENs regarding AI\/ML positioning","source":"Qualcomm Incorporated","contact":"Juan Zhang","contact-id":73274,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove the EN on LMF subscribtion at NWDAF for Network Performance Analytics in clause 6.22.2. Clarify LMF may provide maximum number of UEs to AMF to reduce the impact of AMF Remove the EN on user consent check in clause 6.22.2 and 6.2","secretary_remarks":"Postponed in e-mail session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20060,"status":"postponed","reservation_date":"2025-01-10 05:27:31","uploaded":"2025-01-14 09:25:34","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":638.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500192.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500193","title":"KI#1 Addressing the leftovers in the WI Exception on whether and how LMF can take NG-RAN load into account when performing data collection","source":"Sony","contact":"Tao Cui","contact-id":92325,"tdoctype":"CR","for":"Approval","abstract":"Summary of changes: Update step 6&7&8 in accordance with Figure 6.22.3-1 by making LMF subscribe to 'UE Communication' and optinally 'UE Mobility' Analytics. Remove the EN on whether and how the LMF takes the RAN load into account in this procedure is F","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21030,"status":"not treated","reservation_date":"2025-01-10 09:02:54","uploaded":"2025-01-13 01:23:54","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":639.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500193.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"4.4.13, 6.22.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500194","title":"Adding missing parts for AI\/ML based positioning","source":"Vivo(rapporteur), MediaTek Inc(rapporteur)","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: This CR propose to capture above missing contents of AIML based positioning into TS 23.273 subcluse 5.18.","secretary_remarks":"Merged into S2-2501136","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19910,"status":"merged","reservation_date":"2025-01-10 10:02:40","uploaded":"2025-01-10 11:16:15","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":640.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500194.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500195","title":"Adding missing parts for VFL","source":"Vivo(rapporteur), MediaTek Inc(rapporteur)","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the abbreviation of HFL to clause 3.2. Remove the ENs in clause 5.4.","secretary_remarks":"Approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20210,"status":"agreed","reservation_date":"2025-01-10 10:02:42","uploaded":"2025-01-10 11:16:15","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1322.0,"crrevision":"","crcategory":"F","tsg_crp":"SP-250041","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500195.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"3.2, 5.4.","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500196","title":"Remove ENs unrelated to the exception list","source":"Vivo(rapporteur), MediaTek Inc(rapporteur)","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove the ENs not not related to the exception list, including the following ENs. Editor's note: If additional functionality is specified in clause 6.2H, the reference to the corresponding clause will be added. Editor's note: For an NW","secretary_remarks":"Postponed in e-mail session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20200,"status":"postponed","reservation_date":"2025-01-10 10:02:43","uploaded":"2025-01-10 11:16:15","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1323.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500196.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.4, 6.2H.1, 6.2H.2.2.1, 6.2H.2.2.2, 6.2H.2.3.1.","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500197","title":"Resolution of editor s notes related to data collection and model retrieval","source":"Vivo","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Resolve the editor's note related to limitation of the number of UEs during the data collection; Resolve several editor's notes related to how LMF retrieves ML Models from NWDAF; Some editorial corrections.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20990,"status":"not treated","reservation_date":"2025-01-10 10:19:32","uploaded":"2025-01-10 11:15:53","revisionof":"","revisedto":"S2-2501669","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":641.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500197.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18, 6.22.2, 6.22.5","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500198","title":"NWDAF model provision for AI positioning","source":"Vivo","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The factor of supporting model training for LMF-based AI\/ML Positioning is considered in NWDAF discovery and selection.","secretary_remarks":"Revision of S2-2411551. r04 agreed. Revised in e-mail session to S2-2501140.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20150,"status":"revised","reservation_date":"2025-01-10 10:19:33","uploaded":"2025-01-10 11:15:53","revisionof":"S2-2411551","revisedto":"S2-2501140","release":"Rel-19","crspec":"23.501","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5635.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500198.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.6.2, 6.2.18, 6.3.13","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500199","title":"NWDAF registration and discovery for AI positioning","source":"Vivo","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The factor of supporting model training for LMF-based AI\/ML Positioning is considered in NWDAF discovery and selection.","secretary_remarks":"Revision of S2-2411552. r02 agreed. Revised in e-mail session to S2-2501141.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20180,"status":"revised","reservation_date":"2025-01-10 10:19:47","uploaded":"2025-01-10 11:15:53","revisionof":"S2-2411552","revisedto":"S2-2501141","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5011.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500199.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2.7.2.2, 5.2.7.2.5, 5.2.7.3.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500200","title":"[DRAFT] LS to RAN on AIML positioning","source":"vivo","contact":"vivian chong","contact-id":108783,"tdoctype":"LS out","for":"Approval","abstract":"To: RAN WG1, RAN WG2, RAN WG3. CC: -. Attachments:.","secretary_remarks":"r10 agreedrevised in e-mail session to S2-2501133.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19870,"status":"revised","reservation_date":"2025-01-10 11:00:40","uploaded":"2025-01-10 11:10:00","revisionof":"","revisedto":"S2-2501133","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG1,RAN WG2,RAN WG3","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500200.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500201","title":"Interaction between consumer and VFL server","source":"Vivo","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify one trigger for VFL training process is to do VFL inference; 2. Clarify the interaction between the consumer and VFL server happens during the VFL inference procedure. 3 Delete several ENs related to 1 and 2","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21340,"status":"not treated","reservation_date":"2025-01-10 11:00:40","uploaded":"2025-01-10 11:10:00","revisionof":"","revisedto":"S2-2501673","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1324.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500201.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 5.4, 6.2H.2.3.1, 6.2H.2.3.2, 6.2H.2.4.1, 6.2H.2.4.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500202","title":"NEF work during VFL preparation procedure","source":"Vivo","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Address the EN by clarifying in clause 6.2H.2.2.2 that the NEF may do sample IDs intersection work when untrusted AF is VFL server,","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21210,"status":"not treated","reservation_date":"2025-01-10 11:00:41","uploaded":"2025-01-10 11:10:00","revisionof":"","revisedto":"S2-2501674","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1325.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500202.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.2.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500228","title":"Updates to AI\/ML-based positioning general descriptions","source":"Apple","contact":"David Gutierrez Estevez","contact-id":108111,"tdoctype":"CR","for":"Approval","abstract":"This CR provides Uudates to AI\/ML-based positioning general descriptions","secretary_remarks":"r04 agreedrevised in e-mail session to S2-2501136, merging S2-2500194","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20010,"status":"revised","reservation_date":"2025-01-10 17:31:15","uploaded":"2025-01-14 18:18:26","revisionof":"","revisedto":"S2-2501136","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":642.0,"crrevision":"","crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500228.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18, 5.18.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500229","title":"Updates to AI\/ML-based positioning procedures","source":"Apple","contact":"David Gutierrez Estevez","contact-id":108111,"tdoctype":"CR","for":"Approval","abstract":"This CR proposes updates to AI\/ML-based positioning procedures","secretary_remarks":"r08 agreedrevised in e-mail session to S2-2501139.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20100,"status":"revised","reservation_date":"2025-01-10 17:34:38","uploaded":"2025-01-14 18:18:26","revisionof":"","revisedto":"S2-2501139","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":643.0,"crrevision":"","crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500229.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.2, 6.22.3, 6.22.4, 6.22.5","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500230","title":"Support for NWDAF-assisted policy control and QoS","source":"Samsung","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Enhancements to PCF to consider consider the QoS and Policy Assistance Analytics for QoS and policy determination.","secretary_remarks":"Revision of S2-2411618. Merged into S2-2501151","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20730,"status":"merged","reservation_date":"2025-01-10 17:43:03","uploaded":"2025-01-14 19:36:24","revisionof":"S2-2411618","revisedto":"","release":"Rel-19","crspec":"23.503","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1328.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500230.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.1.1.3, 6.2.1.1.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500231","title":"Corrections on QoS and policy assistance analytics","source":"Samsung, Ericsson","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Editorial changes and clarification on QoS and policy assistance analytics. Added Priority level to the output table. Added ARP and Maximum Packet Loss Rate to the input provided by the consumer. Replace GFBR and MFBR for a QoS flow by","secretary_remarks":"r10 agreedrevised in e-mail session to S2-2501149, merging S2-2500188, S2-2500317, S2-2500353 and S2-2500402","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20660,"status":"revised","reservation_date":"2025-01-10 17:45:34","uploaded":"2025-01-14 19:36:24","revisionof":"","revisedto":"S2-2501149","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1326.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500231.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.23.1, 6.23.2, 6.23.3, 6.23.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500232","title":"Support of VFL model training and inference with client intermediate results sharing between VFL clients","source":"Samsung,","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce new steps to support VFL model training and inference with VFL client information sharing on top of the agreed procedures. Remove ENs relevant to VFL client information sharing.","secretary_remarks":"CC#4: Postponed","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20510,"status":"postponed","reservation_date":"2025-01-10 17:47:10","uploaded":"2025-01-14 19:36:25","revisionof":"","revisedto":"S2-2501451","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1327.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500232.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3.1, 6.2H.2.3.2, 6.2H.2.4.1, 6.2H.2.4.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500233","title":"Discussion on VFL model training and inference with client intermediate results sharing between VFL clients .","source":"Samsung","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"discussion","for":"Discussion","abstract":"Discussion on VFL model training and inference with client intermediate results sharing between VFL clients .","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21350,"status":"not treated","reservation_date":"2025-01-10 17:48:27","uploaded":"2025-01-14 19:36:25","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500233.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500266","title":"NRF enhancement for VFL inference service discovery","source":"KDDI","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Enhanced the NRF services to discover the untrusted AF whose VFL inference service support an Analytics ID(s). The EN is resolved, because there is no need to register VFL server capability by AF. Editor's note: Whether AF as VFL server","secretary_remarks":"Merged into S2-2501148","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20620,"status":"merged","reservation_date":"2025-01-11 05:15:15","uploaded":"2025-01-11 06:53:26","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5226.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500266.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2.7.2.2, 5.2.7.2.5, 5.2.7.3.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500267","title":"VFL procedure update for untrusted AF case.","source":"KDDI","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Some parameters are added to the VFL training procedure for support consist trainig. When AF as server VFL server capability registration and sample pre-selection via NEF are not needed. Clause 5.5 The EN is resolved, because there is n","secretary_remarks":"Merged into S2-2501143","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20520,"status":"merged","reservation_date":"2025-01-11 05:20:04","uploaded":"2025-01-11 06:53:26","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1328.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500267.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.5, 6.2H.2.1.2, 6.2H.2.2.2, 6.2H.2.3.1, 6.2H.2.3.2, 6.2H.2.4.2,","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500268","title":"EN removal for clarification of VFL high level description","source":"KDDI","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: For avoide missunderstanding, clarify the VFL scenario when AF is VFL server, 'When AF is acting as VFL Server, NWDAF(s) is VFL Client(s).' Intending to clarify that this release exclude the scenario that AF is server, other AF(s) is cl","secretary_remarks":"Postponed in e-mail session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20490,"status":"postponed","reservation_date":"2025-01-11 05:26:17","uploaded":"2025-01-11 06:53:26","revisionof":"","revisedto":"S2-2501449","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1329.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500268.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.4.","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500301","title":"Clarifications on VFL general procedure","source":"China Mobile","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarification are made for VFL general procedure to remove the relevant ENs.","secretary_remarks":"Confirm Spec version used - CR states {}! r02 agreed. Revised in e-mail session to S2-2501144.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20310,"status":"revised","reservation_date":"2025-01-13 02:12:12","uploaded":"2025-01-14 08:41:30","revisionof":"","revisedto":"S2-2501144","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1330.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500301.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500302","title":"VFL alignment in 23.501","source":"China Mobile","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: VFL alignments are made in clauses of NF profile, NEF functionality, AF and NWDAF.","secretary_remarks":"Merged into S2-2501147","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20610,"status":"merged","reservation_date":"2025-01-13 02:15:31","uploaded":"2025-01-14 08:41:30","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.2.1","workitem":[{"winame":"AIML_CN"}],"crnumber":5918.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500302.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.6.2, 6.2.5.0, 6.2.10, 6.2.18","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500303","title":"The related definitions for VFL and HFL","source":"China Mobile","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The related definitions for VFL are added from TR 23.700-84 to Definition clause in TS 23.288.","secretary_remarks":"r03 agreedrevised in e-mail session to S2-2501142.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20220,"status":"revised","reservation_date":"2025-01-13 02:17:37","uploaded":"2025-01-14 08:41:30","revisionof":"","revisedto":"S2-2501142","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1331.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500303.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500317","title":"Update of input data for QoS and Policy Assistance Analytics","source":"China Mobile","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the packet loss rate and N6 delay as input data collected from the UPF by updating Table 6.23.2-1.","secretary_remarks":"Merged into S2-2501149","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20680,"status":"merged","reservation_date":"2025-01-13 04:22:21","uploaded":"2025-01-14 08:41:30","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1332.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500317.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500320","title":"[DRAFT] Reply LS on Signalling feasibility of data set and parameter sharing","source":"Qualcomm Germany","contact":"Juan Zhang","contact-id":73274,"tdoctype":"LS out","for":"Approval","abstract":"To: RAN WG1, SA WG5. CC: RAN WG2, SA WG3. Attachments: -.","secretary_remarks":"Response to S2-2500041. CC#4: Postponed","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20950,"status":"postponed","reservation_date":"2025-01-13 04:41:08","uploaded":"2025-01-14 09:25:34","revisionof":"","revisedto":"S2-2501837","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"FS_NR_AIML_air"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG1, SA WG5","Cc":"RAN WG2, SA WG3","lsoriginalls":"S2-2500041","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500320.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500334","title":"Resolve some ENs in the vertical federated learning inference procedure","source":"OPPO","contact":"Jingran Chen","contact-id":100820,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the trusted AF as the VFL server case. Remove the following ENs: Editor's note: It is FFS whether additional parameters are needed to send from the VFL server to VFL client, e.g. parameters used in training phase and parameters from","secretary_remarks":"CC#4: r04 + EN agreed. Revised in CC#4 to S2-2501345, merging S2-2500140","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20420,"status":"revised","reservation_date":"2025-01-13 07:16:26","uploaded":"2025-01-13 10:39:10","revisionof":"","revisedto":"S2-2501345","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1333.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500334.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"  6.2H.2.4.1, 6.2H.2.4.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500335","title":"Resolve some ENs in the vertical federated learning training procedure","source":"OPPO","contact":"Jingran Chen","contact-id":100820,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add one sentence to clarify the VFL server may also include the sample IDs in the request if the samples used in the next round are different from the pervious round. Add the trusted AF as the server case. Add the VFL traning trigger de","secretary_remarks":"Merged into S2-2501134","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20330,"status":"merged","reservation_date":"2025-01-13 07:18:56","uploaded":"2025-01-13 10:39:09","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1334.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500335.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"  6.2H.2.3.1, 6.2H.2.3.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500336","title":"Resolve some ENs related to the VFL server and client Registration and Discovery","source":"OPPO","contact":"Jingran Chen","contact-id":100820,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The following ENs are removed by added the VFL server capability register to the NRF. Editor's note: Whether NWDAF as VFL server registers to NRF with VFL capability information is needed is FFS. Editor's note: Whether AF as VFL server","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21160,"status":"not treated","reservation_date":"2025-01-13 07:22:45","uploaded":"2025-01-13 10:39:10","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1335.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500336.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":" 5.2, 5.5, 6.2H.2.1.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500337","title":"Add the trusted AF as the server case in the VFL preparation procedure","source":"OPPO","contact":"Jingran Chen","contact-id":100820,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the trusted as the VFL server case together with the NWDAF as the server case in the VFL preparation procedure. Remove the following ENs: Editor's note: Whether the case of trusted AF as VFL Server is included in the clause for NWDA","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21230,"status":"not treated","reservation_date":"2025-01-13 07:24:38","uploaded":"2025-01-13 10:39:10","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1336.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500337.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":" 6.2H.2.2.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500348","title":"Enhancements to Analytics IDs to support QoS and policy","source":"Samsung, vivo, OPPO, SK Telecom, InterDigital Inc","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Statistics and predictions of gNB resource usage for non-GBR traffic are introduced as new outputs of Network Performance analytics. New inputs and outputs are introduced to QoS Sustainability analytics to support finer granularity anal","secretary_remarks":"Revision of S2-2411620 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21440,"status":"not treated","reservation_date":"2025-01-13 10:31:01","uploaded":"2025-01-14 19:36:25","revisionof":"S2-2411620","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1131.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500348.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.6.3, 6.9.1, 6.9.2, 6.9.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500352","title":"Updates to data exposure service for AI\/ML-based positioning","source":"Apple","contact":"David Gutierrez Estevez","contact-id":108111,"tdoctype":"CR","for":"Approval","abstract":"CR proposing updates to LMF data exposure service for AI\/ML-based positioning","secretary_remarks":"Proposed merged with S2-2500588 (postponed). Postponed","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19930,"status":"postponed","reservation_date":"2025-01-13 11:35:35","uploaded":"2025-01-14 18:18:26","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":644.0,"crrevision":"","crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500352.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"8.3.4.2, 8.3.4.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500353","title":"QoS and Policy Assistance Analytics update","source":"NTT DOCOMO","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: - Updating the NOTE associated to the usage information of QoS flow to clarify the concept. - Including the duration of the application in the input and output parameters of the analytics - Making the SMF event more generic as QoS Chang","secretary_remarks":"WI Code should be AIML_CN! Merged into S2-2501149","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20690,"status":"merged","reservation_date":"2025-01-13 11:48:29","uploaded":"2025-01-14 15:51:36","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1337.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500353.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500354","title":"QFI Change event","source":"NTT DOCOMO","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: - Updating QFI allocation event to include the QoS flow change and termination events as well. - Updating the content of the QFI allocation event to include the QoS parameters.","secretary_remarks":"WI Code should be AIML_CN! r01 agreed. Revised in e-mail session to S2-2501152.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20760,"status":"revised","reservation_date":"2025-01-13 11:55:48","uploaded":"2025-01-14 15:51:21","revisionof":"","revisedto":"S2-2501152","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5237.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500354.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500355","title":"Exposure of control plane signalling information from NFs","source":"NTT DOCOMO","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: - Specifying the control plane signalling information exposed by NFs - Unifying the term used for information about the control plane signallings exposed by NFs - Unified the explanation of the exposed information among different servic","secretary_remarks":"WI Code should be AIML_CN! Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21420,"status":"not treated","reservation_date":"2025-01-13 11:59:28","uploaded":"2025-01-14 15:51:11","revisionof":"","revisedto":"S2-2501995","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5238.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500355.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500398","title":"Resolving ENs for VFL","source":"Ericsson, Lenovo, InterDigital, [OPPO]","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: In clause 5.2 resolve EN: Editor's Note Whether NWDAF as VFL server registers to NRF with VFL capability information is needed is FFS. by removing it, since in clause 6.2H.2.1.1 specifies that an NWDAF can detect a VFL server NWDAF Also","secretary_remarks":"r16 agreedrevised in e-mail session to S2-2501134, merging S2-2500335 and S2-2501069","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20380,"status":"revised","reservation_date":"2025-01-13 15:29:08","uploaded":"2025-01-14 21:40:59","revisionof":"","revisedto":"S2-2501134, S2-2501679","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1338.0,"crrevision":"","crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500398.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 5.5, 5.4, 6.2H.1, 6.2H.2.1.1, 6.2H.2.1.2, 6.2H.2.2.1, 6.2H.2.2.2, 6.2H.2.3.1, 6.2H.2.3.2, 6.2H.2.4.1, 6.2H.2.4.2, 6.2H.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500399","title":"[DRAFT] LS on LMF-based AI\/ML Positioning","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"LS out","for":"Approval","abstract":"Question to RAN WG3 for the definition of NRPPa impacts due to case 3b *data collection from RAN(","secretary_remarks":"CC#4: r09 + changes agreed. Revised in e-mail session to S2-2501341.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19890,"status":"revised","reservation_date":"2025-01-13 15:29:10","uploaded":"2025-01-14 21:40:59","revisionof":"","revisedto":"S2-2501341","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG3","Cc":"RAN WG2","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500399.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500401","title":"PCF use of QoS and policy assistance information analytic","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The PCF may send an analytics request or subscription for the new QoS and policy assistance information analytic to the NWDAF requesting to provide the predicted QoE for an application or service flow associated to one or a list of cand","secretary_remarks":"Revision of S2-2411643. r04 agreed. Revised in e-mail session to S2-2501151, merging S2-2500230","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20740,"status":"revised","reservation_date":"2025-01-13 15:29:11","uploaded":"2025-01-14 21:40:59","revisionof":"S2-2411643","revisedto":"S2-2501151","release":"Rel-19","crspec":"23.503","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1303.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500401.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.1.1.3 and 6.2.1.1.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500402","title":"Resolving ENs for QoS and policy assistance analytics","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: In relation with EN: Editor's Note: Whether Application ID or SDF template is mandatory is FFS. PCF subscribes to QoS and Policy Assistance Analytic from NWDAF to get assistance for the determination of the QoS to include in a PCC rule(","secretary_remarks":"Merged into S2-2501149","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20700,"status":"merged","reservation_date":"2025-01-13 15:29:22","uploaded":"2025-01-14 21:40:59","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1340.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500402.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.23.1 & 6.23.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500432","title":"Sample ID intersection by NEF during the VFL preparation in untrusted AF VFL server scenario","source":"Samsung,","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove EN on NEF work during VFL preparation in clause 6.2H.2.2.2. Introduce new steps into clause 6.2H.2.2.2 to support NEF to determine the sample ID intersection.","secretary_remarks":"Noted in e-mail session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20280,"status":"noted","reservation_date":"2025-01-13 17:05:35","uploaded":"2025-01-14 19:36:24","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1341.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500432.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.2.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500460","title":"Sample update during VFL training","source":"Apple","contact":"Sudeep M Vamanan","contact-id":103491,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Removed EN from clause 5.4. In clause 6.2H.2.3.1: The intermediate training information from VFL Clients to VFL server includes the sample IDs that are missing compared to what was agreed in the preparation phase. This gives an indicati","secretary_remarks":"CC#4: Postponed","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20340,"status":"postponed","reservation_date":"2025-01-13 21:47:52","uploaded":"2025-01-14 20:41:24","revisionof":"","revisedto":"S2-2501573","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1342.0,"crrevision":"","crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500460.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500500","title":"KI#2 Removing ENs regarding the roles of NEF","source":"NTT DOCOMO","contact":"Kohei Nozaki","contact-id":101546,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Removing the ENs in clause 6.2H.2.1.2 and 6.2H.2.2.2.","secretary_remarks":"Noted in e-mail session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20530,"status":"noted","reservation_date":"2025-01-14 02:50:07","uploaded":"2025-01-14 02:57:21","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1343.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500500.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.1.2, 6.2H.2.2.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500501","title":"Addition of delay threshold match indication","source":"Verizon, Oracle","contact":"Peretz Feder","contact-id":94345,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding matching delay threshold indication","secretary_remarks":"WI Code should be AIML_CN! r02 agreed. Revised in e-mail session to S2-2501156.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20970,"status":"revised","reservation_date":"2025-01-14 02:52:28","uploaded":"2025-01-14 19:21:16","revisionof":"","revisedto":"S2-2501156","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1344.0,"crrevision":"","crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500501.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500561","title":"NWDAF discovery and selection parameters","source":"LG Electronics","contact":"Jaewoo Kim","contact-id":92249,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Additional VFL related discovery parameters for NWDAF are added.","secretary_remarks":"r06 agreedrevised in e-mail session to S2-2501146.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20570,"status":"revised","reservation_date":"2025-01-14 06:06:23","uploaded":"2025-01-14 09:33:06","revisionof":"","revisedto":"S2-2501146","release":"Rel-19","crspec":"23.501","crspecversion":"19.2.1","workitem":[{"winame":"AIML_CN"}],"crnumber":5978.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500561.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.3.13","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500565","title":"Update of General Description for VFL","source":"LG Electronics","contact":"Jaewoo Kim","contact-id":92249,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Added description for VFL client functionality for using the intermiediate training information received from the VFL server. Clarify the wording 'intermediate traning result' from the VFL client to VLF server and 'intermediate model tr","secretary_remarks":"Proposed merged with S2-2500268 (postponed). Postponed","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20500,"status":"postponed","reservation_date":"2025-01-14 06:07:48","uploaded":"2025-01-14 09:33:06","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1345.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500565.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.4, 6.2H.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500566","title":"Update Registration and Discovery procedure to include trusted AF as server case","source":"LG Electronics","contact":"Jaewoo Kim","contact-id":92249,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The Registration and Discovery procedure for the trusted AF as VL Server case is included in the untrusted AF as VFL Server case Editorial changes","secretary_remarks":"Merged into S2-2501143","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20240,"status":"merged","reservation_date":"2025-01-14 06:09:07","uploaded":"2025-01-14 09:33:06","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1346.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500566.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.1.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500567","title":"Update Preparation and Training Procedure for VFL","source":"LG Electronics","contact":"Jaewoo Kim","contact-id":92249,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: VFL Preparation Flag is used to indicate the VFL traning service operation is for the VFL Preparation. Added description for VFL Server provides parameters negotiated during the preparation phase including the Feature ID per VFL client,","secretary_remarks":"Noted in e-mail session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20540,"status":"noted","reservation_date":"2025-01-14 06:11:29","uploaded":"2025-01-14 09:33:06","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1347.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500567.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.2.1, 6.2H.2.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500588","title":"Updates of input data collection from LMF","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 1. Remove the following EN. Editor's note: It's FFS how to adapt this procedure to ML model performance monitoring. 2. Remove the following EN, and the PRU related descriptions are added in the procedure of input data collection from LM","secretary_remarks":"Postponed in e-mail session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19940,"status":"postponed","reservation_date":"2025-01-14 07:00:09","uploaded":"2025-01-14 12:17:22","revisionof":"","revisedto":"S2-2501855","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":650.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500588.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.4, 8.3.4.2, 8.3.4.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500589","title":"Enhancements of MTLF discovery and selection for LMF-based AIML Positioning","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the descriptions of NWDAF registration and discovery using the 'LMF-based AI\/ML positioning indication'. Update the description to support NWDAF providing ML model to the LMF.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21110,"status":"not treated","reservation_date":"2025-01-14 07:00:10","uploaded":"2025-01-14 12:17:22","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.2.1","workitem":[{"winame":"AIML_CN"}],"crnumber":5979.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500589.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.6.2, 6.2.18, 6.3.13","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500590","title":"Enhancements of MTLF discovery and selection for LMF-based AIML Positioning","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the descriptions of NWDAF registration and discovery using the 'LMF-based AI\/ML positioning indication'. Change the 'Consumer' to 'the consumer' in clause 5.2.7.2.5.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21130,"status":"not treated","reservation_date":"2025-01-14 07:00:11","uploaded":"2025-01-14 12:17:22","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5257.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500590.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2.7.2.2, 5.2.7.2.5, 5.2.7.3.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500591","title":"Updates of MTLF discovery and selection for LMF-based AI\/ML Positioning","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"It proposes to update the MTLF discovery and selection for LMF-based AI\/ML Positioning.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21000,"status":"not treated","reservation_date":"2025-01-14 07:00:12","uploaded":"2025-01-14 12:17:22","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":651.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500591.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18, 6.22.5","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500592","title":"Updates of ML model provisioning services for LMF-based AI\/ML Positioning","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 1. Update the parameters of Nnwdaf_MLModelProvision and Nnwdaf_MLModelInfo services operations based on the contents in S2-2412932. 2. Change the name of indication to LMF-based AI\/ML positioning indication.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21060,"status":"not treated","reservation_date":"2025-01-14 07:00:13","uploaded":"2025-01-14 12:17:22","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1348.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500592.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 6.2A.1, 6.2A.2, 6.2A.3, 7.5.2, 7.5.4, 7.6.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500593","title":"Update of AI\/ML model performance monitoring for LMF-based AI\/ML Positioning","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 1. Remove 'Procedure for' in the title since no procedure is included. 2. Delete the sentence describing the input data for model monitoring. 3. Correct a typo.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21070,"status":"not treated","reservation_date":"2025-01-14 07:00:14","uploaded":"2025-01-14 12:17:22","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1349.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500593.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2E.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500603","title":"KI#3: EN resolution for QoS and Policy Assistance analytics","source":"ETRI","contact":"ChangSik Lee","contact-id":95981,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: This CR proposes to remove the following Editor's notes in clause 6.23.1 of TS 23.288: Editor's note: Whether Application ID or SDF template is mandatory is FFS Editor's note: The other filter information is FFS, e.g. PDU Session Type,","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21450,"status":"not treated","reservation_date":"2025-01-14 07:13:38","uploaded":"2025-01-14 07:22:22","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1350.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500603.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.23.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500604","title":"KI#3: Clarification on QoS and policy assistance analytics","source":"ETRI","contact":"ChangSik Lee","contact-id":95981,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add input parameters of QoS and policy assistance analytics in clause 6.1.3. Add the missing 'Priority level' in Table 6.23.3-1: QoS and Policy Assistance predictions as a QoS parameter values. Correct the incorrect NOTE numbers in Tabl","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21460,"status":"not treated","reservation_date":"2025-01-14 07:19:03","uploaded":"2025-01-14 07:22:31","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1351.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500604.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.1.3, 6.23.1, 6.23.2, 6.23.3, 6.23.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500629","title":"Updates on input data of AI\/ML positioning model performance monitoring","source":"China Telecom","contact":"Jiahui LI","contact-id":92933,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Supply quality related information of ground truth in procedure and remove related Editor's Note in clause 6.22.4. Supply quality related information of ground truth in Nlmf_DataExposure_Subscribe service operation and remove related Ed","secretary_remarks":"Proposed merged with S2-2500588 (postponed). Postponed","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19970,"status":"postponed","reservation_date":"2025-01-14 07:43:39","uploaded":"2025-01-14 10:07:04","revisionof":"","revisedto":"S2-2502017","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":652.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500629.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":" 6.22.4, 8.3.4.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500630","title":"Updates on VFL server discovery and VFL preparation procedure","source":"China Telecom","contact":"Jiahui LI","contact-id":92933,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove the EN regarding to discovery of an AF acting as VFL server. Clarify on how NEF performs sample intersection during VFL preparation and remove the NEF related EN.","secretary_remarks":"Merged into S2-2501143","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20270,"status":"merged","reservation_date":"2025-01-14 07:43:40","uploaded":"2025-01-14 10:07:04","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1352.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500630.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":" 6.2H.2.1.2, 6.2H.2.2.1, 6.2H.2.2.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500631","title":"Updates on VFL training and VFL inference to remove ENs","source":"China Telecom","contact":"Jiahui LI","contact-id":92933,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add ML model accuracy monitoring related descriptions in VFL training and remove EN regarding to ML model metric. Add Analytics accuracy monitoring in VFL inference. Add sample maintanance during the VFL training and remove the ENs rega","secretary_remarks":"CC#4: r05 + changes agreed. Revised in CC#4 to S2-2501346.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20350,"status":"revised","reservation_date":"2025-01-14 07:43:41","uploaded":"2025-01-14 10:07:04","revisionof":"","revisedto":"S2-2501346","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1353.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500631.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":" 6.2H.2.3.1, 6.2H.2.4.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500632","title":"Support on registration and discovery of VFL server and client","source":"China Telecom","contact":"Jiahui LI","contact-id":92933,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add registered VFL related parameters in NF profile in the case of NEF and AF. Add VFL related parameters in discovery and selection of NWDAF, AF and NEF.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21370,"status":"not treated","reservation_date":"2025-01-14 07:43:41","uploaded":"2025-01-14 10:07:04","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5985.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500632.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":" 6.2.6.2, 6.3.13, 6.3.14, 6.3.25","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500633","title":"Clarification and alignment on signalling storm analytics","source":"China Telecom","contact":"Jiahui LI","contact-id":92933,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Modify 'cause' to 'cause ID' in Analytics output. Remove NOTE1 in Table 6.22.2-5. Align the Figure 6.22.4-1 and correspondoing description with the input data part.","secretary_remarks":"r01 agreedrevised in e-mail session to S2-2501154.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20800,"status":"revised","reservation_date":"2025-01-14 07:43:42","uploaded":"2025-01-14 10:07:04","revisionof":"","revisedto":"S2-2501154","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1354.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500633.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":" 6.22.2, 6.22.3, 6.22.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500654","title":"Update input data to adapt model performance monitoring","source":"Vivo","contact":"Sihan Cheng","contact-id":95055,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove EN in clause 6.22.4 by clarifying the definition of input data; Introduce data type of input data.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21020,"status":"not treated","reservation_date":"2025-01-14 08:02:50","uploaded":"2025-01-14 09:20:03","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":653.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500654.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.4, 8.3.4.2, 8.3.4.3;","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500655","title":"Enhancements for the accuracy monitoring of VFL training","source":"Vivo","contact":"Sihan Cheng","contact-id":95055,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that the VFL Server should indicate the sample IDs for training and the sample IDs for validation to the VFL clients. Remove some ENs in clause 6.2H.2.3.1.","secretary_remarks":"Postponed in e-mail session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20400,"status":"postponed","reservation_date":"2025-01-14 08:02:52","uploaded":"2025-01-14 09:20:36","revisionof":"","revisedto":"S2-2501675","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1355.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500655.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500656","title":"Discussion for the accuracy monitoring of VFL training","source":"vivo","contact":"Sihan Cheng","contact-id":95055,"tdoctype":"discussion","for":"Discussion","abstract":"This paper proposes to clarify that the VFL Server should indicate the sample IDs for training and the sample IDs for validation to the VFL clients.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21270,"status":"not treated","reservation_date":"2025-01-14 08:02:52","uploaded":"2025-01-14 09:20:36","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500656.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500657","title":"Adding VFL related service operations","source":"Vivo","contact":"Sihan Cheng","contact-id":95055,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add new clauses to introduce the VFL related services.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21300,"status":"not treated","reservation_date":"2025-01-14 08:02:52","uploaded":"2025-01-14 13:13:21","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1356.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500657.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"7.1, 7.X(new), 7.Y(new), X(new), Y(new).","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500658","title":"Update on the contents of VFL related services","source":"Vivo","contact":"Sihan Cheng","contact-id":95055,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Update clause 6.2H.3 by adding the parameters described in procedures. Add a new clause to describe the contents of VFL inference service.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21310,"status":"not treated","reservation_date":"2025-01-14 08:02:53","uploaded":"2025-01-14 09:20:56","revisionof":"","revisedto":"S2-2501677","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1357.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500658.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.3, 6.2H.X(new).","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500659","title":"Update for VFL related NF discovery","source":"Vivo","contact":"Sihan Cheng","contact-id":95055,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Update the functionality description of NEF and NWDAF to support VFL. Update the NF profile of NWDAF, NEF and AF to support VFL client\/server discovery.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21380,"status":"not treated","reservation_date":"2025-01-14 08:02:54","uploaded":"2025-01-14 09:20:56","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5986.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500659.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.5.0, 6.2.6.2, 6.2.18, 6.3.13, 6.3.25.","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500660","title":"Adding VFL related services supported by NEF and AF","source":"Vivo","contact":"Sihan Cheng","contact-id":95055,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the VFL related service operations. Add the VFL capability registered by AF.","secretary_remarks":"r05 agreedrevised in e-mail session to S2-2501148, merging S2-2500266","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20630,"status":"revised","reservation_date":"2025-01-14 08:02:54","uploaded":"2025-01-14 09:20:56","revisionof":"","revisedto":"S2-2501148","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5266.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500660.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2.6.1, 5.2.6.X(new), 5.2.6.Y(new), 5.2.6.Z(new), 5.2.7.2.2, 5.2.7.3.2, 5.2.19.1, 5.2.19.X(new), 5.2.19.Y(new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500672","title":"Update on Policy decisions based on network analytics","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add general description for the new Analytics on assistance to QoS and Policy control.","secretary_remarks":"Revision of S2-2409791 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21490,"status":"not treated","reservation_date":"2025-01-14 08:47:04","uploaded":"2025-01-14 15:36:46","revisionof":"S2-2409791","revisedto":"","release":"Rel-19","crspec":"23.503","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1340.0,"crrevision":2.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500672.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.1.1.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500673","title":"Update the preparation procedure for VFL","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 1. Clarify that the suggested list of sample IDs from VFL server to VFL Client(s) is optional, the VFL Client(s) may provide the list of supported sample IDs to the VFL Server based on the sample ID provision indication from the VFL Ser","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21220,"status":"not treated","reservation_date":"2025-01-14 08:47:04","uploaded":"2025-01-14 15:36:46","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1358.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500673.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.2.1, 6.2H.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500674","title":"Update the Registration and Discovery procedures for VFL","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 1. Clarify that the NWDAF as VFL server can also register its VFL interoperability indicator and supported feature ID(s) to NRF in clause 5.2, and the supported feature ID(s) is per VFL interoperability indicator. 2. Update the descript","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21180,"status":"not treated","reservation_date":"2025-01-14 08:47:06","uploaded":"2025-01-14 15:36:46","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1359.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500674.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 5.5, 6.2H.2.1.1, 6.2H.2.1.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500675","title":"Updates to VFL Training Procedure","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove some ENs as above.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21260,"status":"not treated","reservation_date":"2025-01-14 08:47:07","uploaded":"2025-01-14 15:36:46","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1360.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500675.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.2.1, 6.2H.2.2.2, 6.2H.3, 6.2H.2.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500676","title":"Updates to VFL Inference Procedure","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Stored Mapping information (defined in the VFL Training procedure Clause 6.2H.2.4.1 to be used in the VFL Inference) is used for supporting the NWDAF contianing ANLF to determine: i) the VFL Correlation ID to the requested analtyics ID,","secretary_remarks":"Postponed in e-mail session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20460,"status":"postponed","reservation_date":"2025-01-14 08:47:08","uploaded":"2025-01-14 15:36:46","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1361.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500676.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.4.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500677","title":"VFL Accuracy Monitoring","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Proposal to introduce 2 new procedures. A new procedure for VFL Accuracy Monitoring based on the existing procedure for Analytics Accuracy Montioring in Clause 6.2D.2 with the extensions of Steps 1, 2, 5, to enable extending the procedu","secretary_remarks":"Postponed in e-mail session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20410,"status":"postponed","reservation_date":"2025-01-14 08:47:08","uploaded":"2025-01-14 15:36:46","revisionof":"","revisedto":"S2-2502033","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1362.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500677.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.X (new), 6.2H.X.1 (new), 6.2H.X.2 (new), 6.2E.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500691","title":"KI2: Addressing ENs for VFL .","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: VFL preparation: Editor s note: For the VFL preparation procedure, whether and how NEF does pre-work of sample IDs intersection before the VFL server determines the final sample IDs is FFS. Address the EN by adding the following in Step","secretary_remarks":"r02 agreedrevised in e-mail session to S2-2501145.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20550,"status":"revised","reservation_date":"2025-01-14 08:59:52","uploaded":"2025-01-14 19:34:47","revisionof":"","revisedto":"S2-2501145","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1363.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500691.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.2.1, 6.2H.2.2.2, 6.2H.2.3.1, 6.2H.2.3.2, 6.2H.2.4.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500692","title":"KI#1 - Further clarification on ML Model performance monitoring for AI\/ML positioning","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: LMF indicates to the NWDAF the ML model to monitor by including the ML model identifier. NWDAF collects the following input data from LMF: - Ground truth information from PRU(s)\/UE(s) by using the procedure of input data collection by N","secretary_remarks":"CC#4: Postponed","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20140,"status":"postponed","reservation_date":"2025-01-14 09:04:27","uploaded":"2025-01-14 19:34:47","revisionof":"","revisedto":"S2-2501943","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1364.0,"crrevision":"","crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500692.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2E.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500693","title":"KI#1 - Further clarification on input data for ML model training for AI\/ML positioning","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: NWDAF may store data related to PRU UEs as historical data at ADRF. NWDAF may use historical data for further training and\/or performance monitoring of ML models used for AI\/ML positioning. It is also clarified that the LMF may indicate","secretary_remarks":"Postponed in e-mail session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19980,"status":"postponed","reservation_date":"2025-01-14 09:06:58","uploaded":"2025-01-14 19:34:47","revisionof":"","revisedto":"S2-2501955","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":654.0,"crrevision":"","crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500693.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500827","title":"[DRAFT] Reply LS on Signalling feasibility of data set and parameter sharing","source":"Apple","contact":"David Gutierrez Estevez","contact-id":108111,"tdoctype":"LS out","for":"Approval","abstract":"Reply LS on Signalling feasibility of data set and parameter sharing from RAN WG1","secretary_remarks":"Response to S2-2500041. Proposed merged with S2-2500320 (postponed). Postponed","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20960,"status":"postponed","reservation_date":"2025-01-14 11:48:35","uploaded":"2025-01-14 18:18:26","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG1, RAN WG2","Cc":"SA WG5, SA WG3","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500827.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500832","title":"Clarification on data collection by LMF for LMF-based AIML Positioning","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add descriptions that LMF collects input data from PRUs to clause 6.22.2. Clarify that the AMF optionally provides UE positioning capabilities to the LMF. Further clarify that user consent check is not needed for data collection from th","secretary_remarks":"r07 agreedrevised in e-mail session to S2-2501138, merging S2-2501017 and S2-2501020","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20070,"status":"revised","reservation_date":"2025-01-14 11:53:52","uploaded":"2025-01-14 12:25:04","revisionof":"","revisedto":"S2-2501138","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":656.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500832.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.1, 6.22.2, 6.22.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500833","title":"Clarification on LMF requesting ML model for LMF-based AI\/ML Positioning from the NWDAF containing MTLF","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Implement the missing part of CR0597R13 with corrections and editorial modifications. Add that LMF includes an indication that support of ML Model training for LMF-based AI\/ML Positioning is required in the request for NWDAF discovery.","secretary_remarks":"r04 agreedrevised in e-mail session to S2-2501137, merging S2-2500088","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20030,"status":"revised","reservation_date":"2025-01-14 11:53:52","uploaded":"2025-01-14 12:25:04","revisionof":"","revisedto":"S2-2501137","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":657.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500833.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18, 5.18.0 (new), 6.22.5","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500834","title":"Clarification on model performance monitoring for LMF-based AIML Positioning","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that the input parameters provided by the NWDAF to LMF for data collection. Clarify that for ML model performance monitoring by NWDAF, the NWDAF shall provide the ML model identifier to the LMF, and the LMF sends the location of","secretary_remarks":"Postponed in e-mail session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19950,"status":"postponed","reservation_date":"2025-01-14 11:53:53","uploaded":"2025-01-14 12:25:04","revisionof":"","revisedto":"S2-2501824","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":658.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500834.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.4, 8.3.4.2, 8.3.4.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500835","title":"Clarification on model performance monitoring for LMF-based AI\/ML Positioning","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that location measurement data from the PRU(s)\/UE(s) or from the NG-RAN node(s) serving the PRU(s)\/UE(s) may also be provided to the NWDAF during ML model performance monitoring for LMF-based AI\/ML Positioning procedure. Clarify","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21080,"status":"not treated","reservation_date":"2025-01-14 11:53:54","uploaded":"2025-01-14 12:25:04","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1365.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500835.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2E.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500836","title":"Corrections on QoS and Policy Assistance Analytics","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Correct the misalignment on QoS parameters in the input parameters and the output analytics, i.e. adding ARP and Maximum Packet Loss Rate to the input parameter, adding Priority Level to the output analytics. Remove the following ENs: E","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21470,"status":"not treated","reservation_date":"2025-01-14 11:53:54","uploaded":"2025-01-14 12:25:04","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1366.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500836.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.23.1, 6.23.2, 6.23.3, 6.23.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500837","title":"Event exposure for QoS and Policy Assistance Analytics","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Modify the output information of Event ID 'QFI allocation' to support the NWDAF collecting input data from the SMF for QoS and Policy Assistance Analytics. Change the 'QoS parameter(s)' to 'QoS monitoring parameter(s)' for Event ID 'QoS","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21510,"status":"not treated","reservation_date":"2025-01-14 11:53:55","uploaded":"2025-01-14 12:25:04","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5291.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500837.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2.8.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500838","title":"Support of QoS policy assistance information analytics","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Modify the content of analytics exposure to support QoS and policy assistance analytics. Add QoS and policy assistance analytics specific parameters to the input parameters for ML model provisioning. Modify NWDAF services to support pro","secretary_remarks":"Revision of S2-2411512. r05 agreed. Revised in e-mail session to S2-2501150.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20710,"status":"revised","reservation_date":"2025-01-14 11:53:56","uploaded":"2025-01-14 12:25:04","revisionof":"S2-2411512","revisedto":"S2-2501150","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1255.0,"crrevision":2.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500838.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.1.3, 6.2A.2, 7.5.2, 7.6.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2500839","title":"Policy decisions based on QoS policy assistance information analytics","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add descriptions on how the PCF makes policy decisions based on QoS and policy assistance analytics.","secretary_remarks":"Revision of S2-2411513. Confirm Spec version used - CR states {19.1.0}! Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21500,"status":"not treated","reservation_date":"2025-01-14 11:54:03","uploaded":"2025-01-14 12:25:04","revisionof":"S2-2411513","revisedto":"","release":"Rel-19","crspec":"23.503","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1311.0,"crrevision":3.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2500839.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501016","title":"KI#2: Updates to VFL preparation procedures e.g to address trusted AF","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add procedures for trusted AF as VFL server into Clause for untrusted AF as VFL server but work with cross-references for the description of related steps. Remove EN about sample intersection at NEF. Remove EN about interactions between","secretary_remarks":"Revision of S2-2500142 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21200,"status":"not treated","reservation_date":"2025-01-14 17:05:47","uploaded":"2025-01-14 18:31:47","revisionof":"S2-2500142","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1317.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501016.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501017","title":"Adapting the data collection procedure for performance monitoring","source":"Xiaomi","contact":"Jianning(Carry) LIU","contact-id":88587,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: In step 1, to add case monitor the performance of AIML model, In clause 6.22.2; Correct the title of 6.22.3 by removing 'to training models' and adding case in the description 'monitoring the performance of AIML model' To remove the 'fo","secretary_remarks":"Check Affected Clauses! Merged into S2-2501138","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19920,"status":"merged","reservation_date":"2025-01-14 17:12:20","uploaded":"2025-01-14 18:01:15","revisionof":"","revisedto":"S2-2502087","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":666.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501017.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501018","title":"Clarification on Data collection from LMF requested by NWDAF","source":"Xiaomi","contact":"Jianning(Carry) LIU","contact-id":88587,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add detailed clarification for the collected data in step 5: In case of ML model training, the collected data contains measurements data of UE(s)\/PRU(s), and ground truth data of UE(s)\/PRU(s); In case of ML model performance monitoring,","secretary_remarks":"Proposed merged with S2-2500834 (postponed). Postponed","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19960,"status":"postponed","reservation_date":"2025-01-14 17:12:21","uploaded":"2025-01-14 18:01:15","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":667.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501018.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501019","title":"Update UDM to support user consent of data collection for performance monitoring","source":"Xiaomi","contact":"Jianning(Carry) LIU","contact-id":88587,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: To extend user consent also for TS 23.273 in UDM To add 'model performance monitoring' as purpose in the table.","secretary_remarks":"Confirm Spec version used - CR states {19.1.0}! Noted in e-mail session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20170,"status":"noted","reservation_date":"2025-01-14 17:12:22","uploaded":"2025-01-14 18:01:15","revisionof":"","revisedto":"S2-2502007","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5316.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501019.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501020","title":"To remove the EN on limit of number of UEs in clause 6.22.2","source":"Xiaomi","contact":"Jianning(Carry) LIU","contact-id":88587,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove the EN: Whether and how to limit the number of UEs is FFS. Adding one NOTE: How many UEs would be involved in AIML model training or performance monitoring is up to operator's configuration. Remove thee EN: Whether the LMF will s","secretary_remarks":"Merged into S2-2501138","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20090,"status":"merged","reservation_date":"2025-01-14 17:12:23","uploaded":"2025-01-14 18:01:15","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":668.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501020.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501037","title":"Procedures to collect data from the UE and from NG-RAN, resolution of Editor s Note.","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Update clause 6.22.3 based on Proposal 1 i.e.: Refer to NRPPa TS 38.455 for both the procedure to collect input data from NG-RAN in that also input data for case 3b at RAN WG1, in additional send the draft LS S2-250xxxx to ask RAN WG3 t","secretary_remarks":"CC#4: r08 + changes agreed. Revised in CC#4 to S2-2501348.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20120,"status":"revised","reservation_date":"2025-01-14 20:01:47","uploaded":"2025-01-14 21:40:59","revisionof":"","revisedto":"S2-2501348","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":669.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501037.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":true,"ran_affected":true,"cn_affected":true,"clauses_affected":"3.1, 5.18, 6.22, 6.22.1, 6.22.2, 6.22.3, 6.22.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501039","title":"KI#2 update to VFL inference procedure","source":"InterDigital","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: This CR addresses a number of Editor's Notes related to missing parameters for the correct execution of inference procedures.","secretary_remarks":"Missing CR Number - CR states -! Postponed in e-mail session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20440,"status":"postponed","reservation_date":"2025-01-14 20:50:22","uploaded":"2025-01-14 23:43:57","revisionof":"","revisedto":"S2-2502141","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1367.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501039.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501069","title":"KI#2 update to VFL training procedure","source":"InterDigital","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: This CR addresses a number of Editor's Notes related to missing parameters and incomplete procedures, for the correct execution of VFL training.","secretary_remarks":"Missing CR Number - CR states -! Merged into S2-2501134","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20370,"status":"merged","reservation_date":"2025-01-14 22:50:47","uploaded":"2025-01-14 23:43:57","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1369.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501069.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501070","title":"KI#2 update to registration and discovery procedure","source":"InterDigital","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"This CR addresses a number of Editor's notes pointing at incomplete procedures that need to be completed for the correct execution of VFL discovery.","secretary_remarks":"Missing CR Number - CR states -! r13 agreed. Revised in e-mail session to S2-2501143, merging S2-2500267, S2-2500566 and S2-2500630","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20250,"status":"revised","reservation_date":"2025-01-14 23:13:29","uploaded":"2025-01-14 23:43:57","revisionof":"","revisedto":"S2-2501143","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1370.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501070.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501071","title":"KI#2 update to VFL preparation procedure","source":"InterDigital","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: This CR addresses a number of Editor's Notes related to missing parameters for the correct execution of VFL preparation procedures.","secretary_remarks":"Missing CR Number - CR states -! CC#4: r04 + changes agreed. Revised in CC#4 to S2-2501347.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20290,"status":"revised","reservation_date":"2025-01-14 23:18:30","uploaded":"2025-01-14 23:43:57","revisionof":"","revisedto":"S2-2501347","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1371.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501071.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501072","title":"KI#2 update to VFL High Level Description","source":"InterDigital","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: High level descriptions are updated to resolve E.N.'s Notes","secretary_remarks":"Missing CR Number - CR states -! Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21320,"status":"not treated","reservation_date":"2025-01-14 23:46:48","uploaded":"2025-01-14 23:52:42","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1372.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501072.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501133","title":"LS on LMF-based AI\/ML Positioning for Case 2b","source":"SA WG2","contact":"vivian chong","contact-id":108783,"tdoctype":"LS out","for":"Approval","abstract":"To: RAN WG1, RAN WG2. CC: RAN WG3","secretary_remarks":"Revision of S2-2500200r10. Approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19880,"status":"approved","reservation_date":"2025-01-25 09:54:23","uploaded":"2025-01-27 09:03:58","revisionof":"S2-2500200","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG1,RAN WG2","Cc":"RAN WG3","lsoriginalls":"","lsreply":"R1-2500613, R1-2500618, R1-2500695, R1-2501304, R1-2501306, R1-2501522, R1-2501523","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501133.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501134","title":"Resolving ENs for VFL","source":"Ericsson, Lenovo, InterDigital, OPPO, Nokia","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: In clause 5.2 resolve EN: Editor's Note Whether NWDAF as VFL server registers to NRF with VFL capability information is needed is FFS. by removing it, since in clause 6.2H.2.1.1 specifies that an NWDAF can detect a VFL server NWDAF Also","secretary_remarks":"Revision of S2-2500398r16, merging S2-2500335 and S2-2501069. Endorsed","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20390,"status":"endorsed","reservation_date":"2025-01-25 09:54:23","uploaded":"2025-01-28 08:51:07","revisionof":"S2-2500398","revisedto":"S2-2501478, S2-2501479, S2-2501484, S2-2501936, S2-2502142","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1338.0,"crrevision":1.0,"crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501134.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.4, 6.2H.1, 6.2H.2.3.1, 6.2H.2.3.2, 6.2H.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501135","title":"KI#2: VFL services","source":"Nokia, Ericsson","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Define new services to support VFL","secretary_remarks":"Revision of S2-2500145r03. Approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20480,"status":"agreed","reservation_date":"2025-01-25 09:54:24","uploaded":"2025-01-28 08:51:07","revisionof":"S2-2500145","revisedto":"S2-2501485, S2-2501490, S2-2501647, S2-2501782","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1236.0,"crrevision":6.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501135.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501136","title":"Updates to AI\/ML-based positioning general descriptions","source":"Apple, CATT","contact":"David Gutierrez Estevez","contact-id":108111,"tdoctype":"CR","for":"Approval","abstract":"This CR provides Uudates to AI\/ML-based positioning general descriptions","secretary_remarks":"Revision of S2-2500228r04, merging S2-2500194. Approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20020,"status":"agreed","reservation_date":"2025-01-25 09:54:25","uploaded":"2025-01-28 08:51:07","revisionof":"S2-2500228","revisedto":"S2-2501454, S2-2501639, S2-2501671","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":642.0,"crrevision":1.0,"crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501136.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18, 5.18.0 (new), 5.18.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501137","title":"Clarification on LMF requesting ML model for LMF-based AI\/ML Positioning from the NWDAF containing MTLF","source":"CATT, ZTE","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Update the ML model requesting procedure in clause 6.22.5 to align with clause 5.18, and also modify description of step 6. Clarify that LMF may retrieve ML Model from ADRF. Editorial modifications.","secretary_remarks":"Revision of S2-2500833r04, merging S2-2500088. Approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20040,"status":"agreed","reservation_date":"2025-01-25 09:54:26","uploaded":"2025-01-28 08:51:07","revisionof":"S2-2500833","revisedto":"S2-2501640, S2-2501857","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":657.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501137.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.5","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501138","title":"Clarification on data collection by LMF for LMF-based AIML Positioning","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that the AMF optionally provides UE positioning capabilities to the LMF. Further clarify that user consent check is not needed for data collection from the PRUs for LMF-based AI\/ML positioning.","secretary_remarks":"Revision of S2-2500832r07, merging S2-2501017 and S2-2501020. Approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20080,"status":"agreed","reservation_date":"2025-01-25 09:54:26","uploaded":"2025-01-28 08:51:07","revisionof":"S2-2500832","revisedto":"S2-2501672","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":656.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"SP-250041","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501138.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.1, 6.22.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501139","title":"Updates to AI\/ML-based positioning procedures","source":"Apple, vivo","contact":"David Gutierrez Estevez","contact-id":108111,"tdoctype":"CR","for":"Approval","abstract":"This CR proposes updates to AI\/ML-based positioning procedures","secretary_remarks":"Revision of S2-2500229r08. Approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20110,"status":"agreed","reservation_date":"2025-01-25 09:54:27","uploaded":"2025-01-28 08:51:07","revisionof":"S2-2500229","revisedto":"S2-2501455, S2-2501482, S2-2502132","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":643.0,"crrevision":1.0,"crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501139.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.2, 6.22.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501140","title":"NWDAF model provision for AI positioning","source":"Vivo, Nokia, ZTE","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The factor of supporting model training for LMF-based AI\/ML Positioning is considered in NWDAF discovery and selection. The table of LMF service is completed with the Nlmf_DataExposure service as defined in TS 23.273.","secretary_remarks":"Revision of S2-2500198r04. Approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20160,"status":"agreed","reservation_date":"2025-01-25 09:54:28","uploaded":"2025-01-28 08:51:07","revisionof":"S2-2500198","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5635.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"SP-250042","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501140.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.6.2, 6.2.18, 6.3.13, 7.2.16","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501141","title":"NWDAF registration and discovery for AI positioning","source":"Vivo","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The factor of supporting model training for LMF-based AI\/ML Positioning is considered in NWDAF discovery and selection.","secretary_remarks":"Revision of S2-2500199r02. Approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20190,"status":"agreed","reservation_date":"2025-01-25 09:54:29","uploaded":"2025-01-28 08:51:07","revisionof":"S2-2500199","revisedto":"S2-2501670","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5011.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"SP-250042","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501141.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2.7.2.2, 5.2.7.2.5, 5.2.7.3.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501142","title":"The related definitions for VFL and HFL","source":"China Mobile, ZTE, Nokia","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The related definitions for VFL are added from TR 23.700-84 to Definition clause in TS 23.288.","secretary_remarks":"Revision of S2-2500303r03. Approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20230,"status":"agreed","reservation_date":"2025-01-25 09:54:30","uploaded":"2025-01-28 08:51:07","revisionof":"S2-2500303","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1331.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"SP-250041","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501142.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501143","title":"KI#2 update to registration and discovery procedure","source":"InterDigital, Nokia, KDDI, OPPO, LGE, Ericsson, Samsung","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"This CR addresses a number of Editor's notes pointing at incomplete procedures that need to be completed for the correct execution of VFL discovery.","secretary_remarks":"Revision of S2-2501070r13, merging S2-2500267, S2-2500566 and S2-2500630. Approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20260,"status":"agreed","reservation_date":"2025-01-25 09:54:31","uploaded":"2025-01-28 08:51:07","revisionof":"S2-2501070","revisedto":"S2-2501678, S2-2502105","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1370.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"SP-250042","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501143.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 5.5, 6.2H.2.1.1, 6.2H.2.1.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501144","title":"Clarifications on VFL general procedure","source":"China Mobile, Samsung","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarification are made for VFL general procedure to remove the relevant ENs.","secretary_remarks":"Revision of S2-2500301r02. Approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20320,"status":"agreed","reservation_date":"2025-01-25 09:54:32","uploaded":"2025-01-28 08:51:07","revisionof":"S2-2500301","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1330.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"SP-250041","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501144.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501145","title":"KI2: Addressing ENs for VFL .","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Editor's note: Whether weight of the VFL Client is computed by VFL server is FFS. Address the EN with the following text in step 6 of Figure 6.2H.2.3.1-1: : The VFL server may locally compute contribution weights for each VFL client participating in the VFL pocess and store them for subsequent use, e.g. during inference. How the VFL computes the VFL contribution weights is up to implementation.","secretary_remarks":"Revision of S2-2500691r02. Approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20560,"status":"agreed","reservation_date":"2025-01-25 09:54:32","uploaded":"2025-01-28 08:51:07","revisionof":"S2-2500691","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1363.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"SP-250042","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501145.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3.1 ","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501146","title":"NWDAF discovery and selection parameters","source":"LG Electronics, Nokia, ZTE, KDDI, ETRI, Ericsson, Huawei","contact":"Jaewoo Kim","contact-id":92249,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Additional VFL related discovery parameters for NWDAF are added. Add agreed VFL capability of AF and NWDAF to be registered NRF.","secretary_remarks":"Revision of S2-2500561r06. Approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20580,"status":"agreed","reservation_date":"2025-01-25 09:54:33","uploaded":"2025-01-28 08:51:07","revisionof":"S2-2500561","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.2.1","workitem":[{"winame":"AIML_CN"}],"crnumber":5978.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"SP-250042","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501146.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.3.13, 6.3.25, 6.2.6.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501147","title":"KI#2 alignment","source":"ZTE, Nokia","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add agreed functionality of AF, NWDAF and NEF for VFL.","secretary_remarks":"Revision of S2-2500081r04, merging S2-2500302. Approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20600,"status":"agreed","reservation_date":"2025-01-25 09:54:34","uploaded":"2025-01-28 08:51:07","revisionof":"S2-2500081","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5882.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"SP-250042","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501147.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.5.0, 6.2.10, 6.2.18","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501148","title":"Adding VFL related services supported by NEF and AF","source":"Vivo, Nokia, KDDI","contact":"Sihan Cheng","contact-id":95055,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the VFL related service operations. Add the VFL capability registered by AF.","secretary_remarks":"Revision of S2-2500660r05, merging S2-2500266. Approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20640,"status":"agreed","reservation_date":"2025-01-25 09:54:35","uploaded":"2025-01-28 08:51:07","revisionof":"S2-2500660","revisedto":"S2-2501676, S2-2502041","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5266.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501148.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":" 5.2.7.2.2, 5.2.7.2.5, 5.2.7.3.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501149","title":"Corrections on QoS and policy assistance analytics","source":"Samsung, Ericsson, Verizon, Oracle, China Mobile, NTT DOCOMO, Huawei, HiSilicon, ETRI","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Editorial changes and clarification on QoS and policy assistance analytics. Added Priority level to the output table. Replace GFBR and MFBR for a QoS flow by GBR and MBR for a service data flow that is what the PCF can provide for a service data flow.","secretary_remarks":"Revision of S2-2500231r10, merging S2-2500188, S2-2500317, S2-2500353 and S2-2500402. Approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20670,"status":"agreed","reservation_date":"2025-01-25 09:54:36","uploaded":"2025-01-28 08:51:07","revisionof":"S2-2500231","revisedto":"S2-2501492, S2-2501709, S2-2501848, S2-2501880","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1326.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501149.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.23.1, 6.23.2, 6.23.3, 6.23.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501150","title":"Support of QoS policy assistance information analytics","source":"CATT, ETRI","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Modify the content of analytics exposure to support QoS and policy assistance analytics.","secretary_remarks":"Revision of S2-2500838r05. Approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20720,"status":"agreed","reservation_date":"2025-01-25 09:54:36","uploaded":"2025-01-28 08:51:07","revisionof":"S2-2500838","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1255.0,"crrevision":3.0,"crcategory":"F","tsg_crp":"SP-250041","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501150.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.1.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501151","title":"PCF use of QoS and policy assistance information analytic","source":"Ericsson, Nokia, NTT DOCOMO","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The PCF may send an analytics request or subscription for the new QoS and policy assistance information analytic to the NWDAF requesting to provide the predicted QoE for an application or service flow associated to one or a list of candidate QoS parameter set(s). The PCF may take into account the predicted QoE received for every candidate QoS parameters set to determine the final QoS parameters for an application or service flow, based on operator's policy.","secretary_remarks":"Revision of S2-2500401r04, merging S2-2500230. Approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20750,"status":"agreed","reservation_date":"2025-01-25 09:54:37","uploaded":"2025-01-28 08:51:07","revisionof":"S2-2500401","revisedto":"","release":"Rel-19","crspec":"23.503","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1303.0,"crrevision":4.0,"crcategory":"B","tsg_crp":"SP-250042","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501151.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.1.1.3, 6.2.1.1.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501152","title":"QFI Change event","source":"NTT DOCOMO","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: - Introducing a QFI deallocation event to include the QoS flow change and termination events as well. - Updating the content of the QFI allocation event to include the QoS parameters.","secretary_remarks":"Revision of S2-2500354r01. Approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20770,"status":"agreed","reservation_date":"2025-01-25 09:54:38","uploaded":"2025-01-28 08:51:07","revisionof":"S2-2500354","revisedto":"S2-2501994","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5237.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501152.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501153","title":"Clarifying Signalling Storm Analytics","source":"Huawei, HiSilicon, China Telecom, SK Telecom, Verizon, NTT DOCOMO","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 1, Clarify what type of abnormal signaling is focused in the signaling storm analytics. 2, Clarify the analytics target and filter information 3, Rewording one of the SCP actions in table 6.22.3-3 4, Rewording the signaling storm analytics explanation in table 7.1-2.","secretary_remarks":"Revision of S2-2500102r01. Approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20790,"status":"agreed","reservation_date":"2025-01-25 09:54:39","uploaded":"2025-01-28 08:51:07","revisionof":"S2-2500102","revisedto":"S2-2501553","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1313.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"SP-250041","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501153.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.1, 6.22.2, 6.22.3, 7.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501154","title":"Clarification and alignment on signalling storm analytics","source":"China Telecom","contact":"Jiahui LI","contact-id":92933,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Modify 'cause' to 'cause ID' in Analytics output. Remove NOTE1 in Table 6.22.2-5. Align the Figure 6.22.4-1 and correspondoing description with the input data part.","secretary_remarks":"Revision of S2-2500633r01. Approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20810,"status":"agreed","reservation_date":"2025-01-25 09:54:40","uploaded":"2025-01-28 08:51:07","revisionof":"S2-2500633","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1354.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"SP-250042","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501154.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":" 6.22.3, 6.22.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501155","title":"KI#4 Resolve open issues for mitigation actions","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Confirm tentative text bin Ens to allign with TS 23.288","secretary_remarks":"Revision of S2-2500153r05. Approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20830,"status":"agreed","reservation_date":"2025-01-25 09:54:40","uploaded":"2025-01-28 08:51:07","revisionof":"S2-2500153","revisedto":"S2-2501493","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5200.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"SP-250042","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501155.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501156","title":"Addition of delay threshold match indication","source":"Verizon, Oracle","contact":"Peretz Feder","contact-id":94345,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding matching delay threshold indication","secretary_remarks":"Revision of S2-2500501r02. Approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20980,"status":"agreed","reservation_date":"2025-01-25 09:54:41","uploaded":"2025-01-28 08:51:07","revisionof":"S2-2500501","revisedto":"S2-2501710","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1344.0,"crrevision":1.0,"crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501156.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":" 6.9.1, 6.9.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501341","title":"LS on LMF-based AI\/ML Positioning for case 3b","source":"SA WG2","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"LS out","for":"Approval","abstract":"To: RAN WG3, RAN WG1. CC: RAN WG2","secretary_remarks":"Revision of S2-2500399r09 + changes. This LS OUT was approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19900,"status":"approved","reservation_date":"2025-01-25 09:56:38","uploaded":"2025-01-27 09:03:58","revisionof":"S2-2500399","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG3, RAN WG1","Cc":"RAN WG2","lsoriginalls":"","lsreply":"R1-2500572, R1-2500614, R1-2500619, R1-2500696, R1-2501305, R1-2501308, R1-2501524, R1-2501525","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501341.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501345","title":"Resolve some ENs in the vertical federated learning inference procedure","source":"OPPO, Nokia, Ericsson, Samsung","contact":"Jingran Chen","contact-id":100820,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the trusted AF as the VFL server case. Remove the following ENs: Editor's note: The service name between the AnLF and untrusted AF as VFL server is FFS. Editor's note: It is FFS how the origin of analytics results can be traced and explained if not all clients participate and results are not satisfying.","secretary_remarks":"Revision of S2-2500334r04 + EN, merging S2-2500140. This CR was agreed","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20430,"status":"agreed","reservation_date":"2025-01-25 09:56:39","uploaded":"2025-01-28 08:51:09","revisionof":"S2-2500334","revisedto":"S2-2501488, S2-2501646, S2-2501939, S2-2502019, S2-2502036","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1333.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501345.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"  6.2H.2.4.1, 6.2H.2.4.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501346","title":"Updates on VFL training and VFL inference to remove ENs","source":"China Telecom, ZTE, Lenovo, Nokia, ETRI","contact":"Jiahui LI","contact-id":92933,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add ML model accuracy monitoring related descriptions in VFL training and remove EN regarding to ML model metric.","secretary_remarks":"Revision of S2-2500631r05 + changes. This CR was agreed","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20360,"status":"agreed","reservation_date":"2025-01-25 09:56:40","uploaded":"2025-01-28 08:51:09","revisionof":"S2-2500631","revisedto":"S2-2502018, S2-2502059","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1353.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"SP-250042","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501346.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":" 6.2H.2.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501347","title":"KI#2 update to VFL preparation procedure","source":"InterDigital","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: This CR addresses a number of Editor's Notes related to missing parameters for the correct execution of VFL preparation procedures.","secretary_remarks":"Revision of S2-2501071r04 + changes. This CR was agreed","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20300,"status":"agreed","reservation_date":"2025-01-25 09:56:41","uploaded":"2025-01-28 08:51:09","revisionof":"S2-2501071","revisedto":"S2-2502034, S2-2502106, S2-2502133","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1371.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501347.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.2.1, 6.2H.2.2.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501348","title":"Procedures to collect data from the UE and from NG-RAN, resolution of Editor s Note.","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Update clause 6.22.3 based on Proposal 1 i.e.: Refer to NRPPa TS 38.455 for both the procedure to collect input data from NG-RAN in that also input data for case 3b at RAN WG1, in additional send the draft LS S2-250xxxx to ask RAN WG3 t","secretary_remarks":"Revision of S2-2501037r08 + changes. This CR was agreed","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20130,"status":"agreed","reservation_date":"2025-01-25 09:56:42","uploaded":"2025-01-28 08:51:09","revisionof":"S2-2501037","revisedto":"S2-2501481, S2-2501544, S2-2501856, S2-2501863, S2-2502098, S2-2502104","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":669.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_166AH-e_Electronic_2025-01\/Docs\/S2-2501348.zip","group":"S2","meeting":"S2-166-Ad Hoc-e","year":2025,"uicc_affected":false,"me_affected":true,"ran_affected":true,"cn_affected":true,"clauses_affected":"6.22.3","crsinpack":null,"crsinpacknumber":0}]