[{"name":"S2-2409564","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 S2-2407392 from SA2#164. 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":24280,"status":"postponed","reservation_date":"2024-09-23 09:35:13","uploaded":"2024-09-23 09:36:47","revisionof":"S2-2407392","revisedto":"S2-2411273","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_165_Hyderabad_2024-10\/Docs\/S2-2409564.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409568","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 S2-2407414 from SA2#164. Responses drafted in S2-2410207. 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":24290,"status":"postponed","reservation_date":"2024-09-23 09:35:13","uploaded":"2024-09-23 09:36:47","revisionof":"S2-2407414","revisedto":"S2-2411276","release":"Rel-19","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_165_Hyderabad_2024-10\/Docs\/S2-2409568.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409600","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":"Responses drafted in S2-2409635, S2-2409736, S2-2410059, S2-2410138, S2-2410210, S2-2410276. Final response in S2-2411191","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":"replied to","reservation_date":"2024-09-23 09:35:14","uploaded":"2024-09-23 13:55:47","revisionof":"","revisedto":"S2-2411455","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":"S2-2411191","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409600.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409613","title":"LS from SA WG5: LS reply on improved KPIs involving end-to-end data volume transfer time analytics","source":"Ericsson LM","contact":"Qiang Zu","contact-id":42296,"tdoctype":"LS in","for":"Information","abstract":"SA WG5 thanks RAN WG3 for its LS on improved KPIs involving end-to-end data volume transfer time analytics in document R3-243941. SA WG5 would like to response to the questions with the following: {. . .}","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":0,"status":"postponed","reservation_date":"2024-09-23 09:35:14","uploaded":"2024-09-23 13:55:46","revisionof":"","revisedto":"S2-2411283","release":"Rel-18","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG3","Cc":"RAN WG2, CT WG4, CT WG3, SA WG2","lsoriginalls":"S5-244658","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409613.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409614","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":"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":24270,"status":"postponed","reservation_date":"2024-09-23 09:35:14","uploaded":"2024-09-23 13:55:46","revisionof":"","revisedto":"S2-2411284","release":"Rel-18","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_165_Hyderabad_2024-10\/Docs\/S2-2409614.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409634","title":"Discussion and way forward of UE side data collection.","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"discussion","for":"Discussion","abstract":"This discussion paper presents 4 different options of UE side training data collection with some observations. A related Reply LS is in S2-240XXXX.","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":24170,"status":"not treated","reservation_date":"2024-09-24 07:57:04","uploaded":"2024-09-29 09:42:25","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_165_Hyderabad_2024-10\/Docs\/S2-2409634.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409635","title":"[DRAFT] Reply LS on AIML data collection","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"LS out","for":"Approval","abstract":"LS Reply to RP-242389\/S2-2409600","secretary_remarks":"Response to S2-2409600. 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":"2024-09-24 07:57:04","uploaded":"2024-09-29 09:42:25","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"TSG RAN, RAN WG1, RAN WG2, RAN WG3","Cc":"TSG SA, SA WG3, SA WG5","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409635.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409636","title":"Support of LMF selection based on AI\/ML based positioning capability","source":"ZTE, China Telecom, Vivo, OPPO, ETRI, InterDigital, CATT, Xiaomi, Sony","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Extending the LMF Profile to enable AI\/ML based Discovery and Selection through the NRF and data exposure capability of LMF by NWDAF to perform model training. Adding a note describe that, in the deferred location request scenario, the source LMF may re-select another LMF for AI\/ML based positioning. Editorial modifications.","secretary_remarks":"Revision of (postponed) S2-2407543. Revised in parallel session to S2-2410669 (withdrawn). 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":23300,"status":"noted","reservation_date":"2024-09-24 07:57:04","uploaded":"2024-09-29 09:59:28","revisionof":"S2-2407543","revisedto":"S2-2410669","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":535.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409636.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"4.3.8, 4.3.12, 5.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409637","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":"LS out on ML Model obtaining from OAM for AI Positioning","secretary_remarks":"Revision of (unhandled) S2-2407576. 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":"2024-09-24 07:57:05","uploaded":"2024-09-29 09:59:28","revisionof":"S2-2407576","revisedto":"S2-2411318","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_165_Hyderabad_2024-10\/Docs\/S2-2409637.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409645","title":"Resolving ENs related to the VFL Registration and Discovery procedures","source":"ICS, InterDigital","contact":"Morteza Kheirkhah","contact-id":105251,"tdoctype":"CR","for":"Approval","abstract":"Summary of change:","secretary_remarks":"No reason for change. summary of change, etc. No Clauses Affected indicated! Merged into S2-2410679","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":"merged","reservation_date":"2024-09-26 14:47:36","uploaded":"2024-10-04 22:06:43","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1195.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409645.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409646","title":"VFL support during the discovery of NWDAF, NEF, and AF instances","source":"ICS, InterDigital, Futurewei","contact":"Morteza Kheirkhah","contact-id":105251,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 6.3.13 includes VFL related parameters 6.3.14 includes an indication that NEF now can be selected according to NEF's VFL capability 6.3.25 includes an indication that AF can be discovered based on the VFL capability","secretary_remarks":"No Clauses Affected indicated! Revised in parallel session to S2-2410684.","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":"revised","reservation_date":"2024-09-26 19:44:05","uploaded":"2024-10-04 22:06:43","revisionof":"","revisedto":"S2-2410684","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5630.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409646.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409647","title":"Enhancement to NRF s discovery and registration procedures to support VFL","source":"ICS, InterDigital, Futurewei","contact":"Morteza Kheirkhah","contact-id":105251,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Intorducing VFL related suppports in NRF Introducing a new VFL capability type container","secretary_remarks":"No Clauses Affected indicated! 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":24610,"status":"not treated","reservation_date":"2024-09-26 19:46:29","uploaded":"2024-10-04 22:06:43","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5001.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409647.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409673","title":"Discussion paper on how to retrieve ML model for AI positioning","source":"vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"discussion","for":"Discussion","abstract":"Discussion on using new analytics ID or new indication to indicate ML model for AI 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":24390,"status":"not treated","reservation_date":"2024-09-27 09:05:24","uploaded":"2024-09-30 10:20:38","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_165_Hyderabad_2024-10\/Docs\/S2-2409673.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409674","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. Instead of Analytics ID, propose to use a service identifier or an indication of supporting ML Model training for LMF-based AI\/ML Positioning","secretary_remarks":"Revised in parallel session to S2-2410662.","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":"revised","reservation_date":"2024-09-27 09:05:24","uploaded":"2024-09-30 10:21:51","revisionof":"","revisedto":"S2-2410662","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1196.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409674.zip","group":"S2","meeting":"S2-165","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":"S2-2409675","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. Propose to use the Analytics ID IE but with a new value to indicate ML Model training for LMF-based AI\/ML 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":24400,"status":"not treated","reservation_date":"2024-09-27 09:05:26","uploaded":"2024-09-30 10:21:51","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1197.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409675.zip","group":"S2","meeting":"S2-165","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. 6.22(new), 7.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409676","title":"NWDAF model provision for AI positioning","source":"Vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify the NWDAF feature, add supporting of ML Model training and provision to LMF for LMF-based AI\/ML positioning. Enhance for NWDAF discovery procedure, clarify how the LMF as the service consumer discovers the NWDAF for ML model training and provision.","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":24410,"status":"not treated","reservation_date":"2024-09-27 09:05:27","uploaded":"2024-09-30 10:21:51","revisionof":"","revisedto":"S2-2411551","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5635.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409676.zip","group":"S2","meeting":"S2-165","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":"S2-2409677","title":"NWDAF registration and discovery via NRF","source":"Vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Enhance NRF services for NWDAF discovery procedure, clarify how the LMF as the service consumer discovers the NWDAF for ML model training and provision from the 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":24420,"status":"not treated","reservation_date":"2024-09-27 09:05:28","uploaded":"2024-09-30 10:21:51","revisionof":"","revisedto":"S2-2411552","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5011.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409677.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2.7, 5.2.7.1, 5.2.7.2.2, 5.2.7.2.5, 5.2.7.3.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409678","title":"Refinements for VFL feature","source":"Vivo","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 with a new IE FL type (i.e. HFL); Refine the VFL capablity information for NWDAF\/trusted 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":"Revised in parallel session to S2-2410679, merging S2-2410062 and S2-2409645","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":"revised","reservation_date":"2024-09-27 09:05:29","uploaded":"2024-09-30 10:21:51","revisionof":"","revisedto":"S2-2410679","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1198.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409678.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 6.2H, 6.2H.1, 6.2H.2, 6.2H.2.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409679","title":"Addressing ENs about VFL","source":"Vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adress the following ENs: - Editor's note: Details of ML Model handling, supported features, Feature alignment and Sample alignment are FFS. (only resolving the aspect of supported features) - Editor's note: Whether the VFL model correlation ID is needed or using the model ID is FFS. - Editor's note: Whether the VFL model correlation is required in step 5 is FFS. - Editor's note: Whether the VFL server\/client needs to register into NRF any interoperability information is FFS. - Editor's note: Whether to use Vendor ID(s) or introduce new identifiers for interoperability among NWDAF and AFs is FFS.","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":24620,"status":"not treated","reservation_date":"2024-09-27 09:05:30","uploaded":"2024-09-30 10:21:51","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1199.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409679.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 5.4, 6.2G, 6.2G.1, 6.2G.2, 6.2G.2.1, 6.2H, 6.2H.1, 6.2H.2, 6.2H.2.1 ","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409683","title":"Data collection for AI\/ML based positioning","source":"Vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: A new subclause is introduced for NWDAF-triggered data collection for ML model training; The detail of UE privacy check for data collection for ML model training is added (i.e., AMF checks).","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":24430,"status":"not treated","reservation_date":"2024-09-29 10:04:09","uploaded":"2024-09-30 10:21:51","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":571.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409683.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":true,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18, 5.18.1, 6.x(new), 6.x.1(new), 6.x.2(new), 6.x.3(new), 7.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409684","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 from LCS architecture via GMLC services in order to train ML model for AI positioning. LMF can store\/delete the collected location data in ADRF.","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":24440,"status":"not treated","reservation_date":"2024-09-29 10:04:12","uploaded":"2024-09-30 10:21:51","revisionof":"","revisedto":"S2-2411550","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1201.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409684.zip","group":"S2","meeting":"S2-165","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":"S2-2409685","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 proposes to support Vertical Federated Learning registration and discovery in TS 23.501.","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":24630,"status":"not treated","reservation_date":"2024-09-29 10:04:13","uploaded":"2024-09-30 10:21:51","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5638.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409685.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"3.2, 6.2.6.2, 6.2.10, 6.2.18, 6.3.13, 6.3.25","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409686","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":"Confirm Specification Number - CR states 23.501! 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":24640,"status":"not treated","reservation_date":"2024-09-29 10:04:14","uploaded":"2024-09-30 10:21:51","revisionof":"","revisedto":"S2-2411557","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5012.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409686.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409712","title":"New analytics ID to support Signalling storm Mitigation and Prevention","source":"SK Telecom, AT&T, China Mobile, ETRI, KDDI, KPN N.V., LG Uplus, OPPO, Rakuten Mobile, Samsung, vivo, ZTE, Huawei, HiSilicon, Nokia, NTT DOCOMO, China Telecom, Lenovo, Ericsson, Verizon","contact":"DongJin Lee","contact-id":65921,"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 (postponed) S2-2409420. Revised to S2-2409714","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":25240,"status":"revised","reservation_date":"2024-09-29 22:17:08","uploaded":"2024-10-04 12:58:36","revisionof":"S2-2409420","revisedto":"S2-2409714","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1104.0,"crrevision":5.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409712.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409714","title":"New analytics ID to support Signalling storm Mitigation and Prevention","source":"SK Telecom, Samsung, Verizon, [AT&T, China Mobile, ETRI, KDDI, KPN N.V., LG Uplus, OPPO, Rakuten Mobile, vivo, ZTE, Huawei, HiSilicon, Nokia, NTT DOCOMO, China Telecom, Lenovo, Ericsson]","contact":"DongJin Lee","contact-id":65921,"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 S2-2409712. Revised in parallel session to S2-2410664, merging S2-2410610","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":"revised","reservation_date":"2024-09-29 22:25:15","uploaded":"2024-10-04 13:16:41","revisionof":"S2-2409712","revisedto":"S2-2410664","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1104.0,"crrevision":6.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409714.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409715","title":"General VFL training procedure when NWDAF and AF as VFL Server","source":"Vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: - for the case that NWDAF as VFL server, proposes an VFL training procedure based on the discussion last meeting; - for the case that AF as VFL server, adds a new procedure for VFL tranining.","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":24650,"status":"not treated","reservation_date":"2024-09-30 00:57:04","uploaded":"2024-09-30 10:21:51","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1204.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409715.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409716","title":"New procedure of sample alignment","source":"Vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add new clauses for sample alignment when NWDAF as VFL server and 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":24660,"status":"not treated","reservation_date":"2024-09-30 00:57:05","uploaded":"2024-09-30 10:21:51","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1205.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409716.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409717","title":"Update the procedure of VFL Inference","source":"Vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove some ENs; Introduce a new procedure for VFL inference when the AF is acting as the 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":24670,"status":"not treated","reservation_date":"2024-09-30 00:57:06","uploaded":"2024-09-30 10:21:51","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1206.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409717.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409732","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":"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":"2024-09-30 02:43:34","uploaded":"2024-10-03 04:49:53","revisionof":"","revisedto":"S2-2411833","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_165_Hyderabad_2024-10\/Docs\/S2-2409732.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409733","title":"Update the general inference procedure for vertical federated learning to resolve ENs","source":"OPPO, ZTE, Samsung","contact":"Jingran Chen","contact-id":100820,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The AF initiate VFL case is added into the general inference procedure Several ENs are resolved for the VFL inference procedure. The UE ID(s) is added in the request send from the VFL server to the VFL client. The VFL model correlation ID is added when then VFL client send the VFL inference result to the VFL server. NEF behaviour is added when the untrusted AF is the VFL server.","secretary_remarks":"Revised in parallel session to S2-2410676, merging S2-2410288, S2-2410128, S2-2410089 and S2-2409886","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":"revised","reservation_date":"2024-09-30 02:46:57","uploaded":"2024-10-03 04:49:53","revisionof":"","revisedto":"S2-2410676","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1208.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409733.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2G.2.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409734","title":"Update the general description for vertical federated learning to resolve ENs","source":"OPPO","contact":"Jingran Chen","contact-id":100820,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the sample and feature alignemnt functionality to resolve the EN. Change the intermediate training results to the intermediate training information which is used to update the VFL server local ML Model and the ML Models of VFL clients. Add the VFL discovery related description when the AF is the VFL server.","secretary_remarks":"Merged into S2-2410667","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":"merged","reservation_date":"2024-09-30 02:49:59","uploaded":"2024-10-03 04:49:53","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1209.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409734.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409735","title":"Discussion paper on data collection from UE","source":"vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"discussion","for":"Discussion","abstract":"According to the LS in S2-2409600,discuss the solution options 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":24190,"status":"not treated","reservation_date":"2024-09-30 04:11:28","uploaded":"2024-09-30 10:21:51","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_165_Hyderabad_2024-10\/Docs\/S2-2409735.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409736","title":"[DRAFT] Reply LS on AIML data collection","source":"vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"LS out","for":"Approval","abstract":"Reply LS on AIML data collection","secretary_remarks":"Response to S2-2409600. 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":"2024-09-30 04:11:28","uploaded":"2024-09-30 10:21:51","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"TSG RAN","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409736.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409787","title":"Update the High level feature description for VFL","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that the VFL can be available among NWDAF(s) and AF(s) within a single PLMN. Introduce the VFL Capability Group ID for the interoperability among NWDAF(s) and\/or AF(s). Clarify that the VFL server may provide the initial ML Model(s) to the VFL client(s) based on request from the VFL client(s). Clarify that the VFL server also needs to train ML Model with the available local data set, and aggregate intermediate results from VFL client(s) and VFL server. In addition, we clarify that the FL server's data set has label, and FL client's data set has no 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":24680,"status":"not treated","reservation_date":"2024-09-30 08:11:39","uploaded":"2024-10-04 16:04:35","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1212.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409787.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409788","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: Remove the following ENs, and corresponding clarifications are added: Editor's note: Whether we can use the existing FL capability information IE, or a new VFL capability information IE is introduced, is FFS. Editor's note: Whether additional VFL capability information needs to be registered in NRF is required or new IEs are needed in the VFL capability information, is FFS. Editor's note: Whether the FL capability will be extended or a new VFL capability will be defined is FFS. Editor's note: Whether to use Vendor ID(s) or introduce new identifiers for interoperability among NWDAF and AFs is FFS.","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":24690,"status":"not treated","reservation_date":"2024-09-30 08:11:40","uploaded":"2024-10-04 16:04:35","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1213.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409788.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 6.2H.2.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409789","title":"General training procedure for Vertical Federated Learning between NWDAF(s) and AF(s)","source":"[China Mobile], [CATT], [ZTE], [OPPO], [China Telecom], [ETRI], Huawei, [Nokia], [Futurewei], [Samsung]","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: New clause 6.2X is added to specify the general training procedure for vertical federated learning between AF and NWDAFs.","secretary_remarks":"Revision of (noted) S2-2409416. 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":24700,"status":"not treated","reservation_date":"2024-09-30 08:11:42","uploaded":"2024-10-04 16:04:35","revisionof":"S2-2409416","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1134.0,"crrevision":4.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409789.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2X.Y.Z (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409790","title":"Discussion on VFL Training Open Issues .","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"discussion","for":"Discussion","abstract":"It is proposed to discuss the possible way forward to solve the editor's notes related to the procedures for VFL Training.","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":24710,"status":"not treated","reservation_date":"2024-09-30 08:11:43","uploaded":"2024-10-04 16:04:35","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_165_Hyderabad_2024-10\/Docs\/S2-2409790.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409791","title":"Update on Policy decisions based on NWDAF","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add new clause for general description of Assistance to Parameter Determination functionality and specific description of assistance to QoS and Policy control.","secretary_remarks":"Revision of (unhandled) S2-2407917. 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":25070,"status":"not treated","reservation_date":"2024-09-30 08:11:43","uploaded":"2024-10-04 05:14:09","revisionof":"S2-2407917","revisedto":"","release":"Rel-19","crspec":"23.503","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1340.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409791.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.1.1.x (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409794","title":"LMF enhancements for LMF-based AI\/ML Positioning","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove the following ENs: Editor's note: The procedure of NWDAF containing MTLF collects input data for LMF-based AI\/ML Positioning ML model training is FFS. Editor's note: Further details on user consent for data collection for model training will be aligned with SA WG3. Introduce a new procedure of Location Measurement data collection from LMF for NWDAF side AI\/ML positioning ML model training. Change clause 5.18.1 to clause 6.X.1. Enhance the procedure for NWDAF assistance to location services to support ML model provisioning from NWDAF to LMF. 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":"Revised in parallel session to S2-2410670, merging S2-2409861","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":"revised","reservation_date":"2024-09-30 08:19:37","uploaded":"2024-10-04 05:14:09","revisionof":"","revisedto":"S2-2410670","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":574.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409794.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"4.3.X (new), 4.4.13, 5.18, 6.X (new), 6.X.1, 6.X.2 (new), 6.21.2, 6.21.X (new), 8.3.1, 8.3.2.1, 8.3.2.X (new), 8.3.2.Y (new), 8.3.2.Z (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409795","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: Remove the following ENs, and introduce a LMF-based AI\/ML positioning indication for LMF based AI\/ML positioning model provisioning: Editor's note: How to indicate supporting model training for the LMF-based AI\/ML positioning as defined in TS 23.273 [39] by the MTLF to NRF, e.g., using a specific analytics ID or a new indication is FFS. Editor's note: When the service consumer is LMF, whether to use a specific analytics ID or a new indication to indicate to retrieve ML model for LMF based AI\/ML positioning is FFS. Add the descriptions of Location Measurement data collection from LMF. Update the ML model provisioning related clauses to support using 'LMF-based AI\/ML positioning indication' to subscribe\/request positioning AI\/ML model from 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":24450,"status":"not treated","reservation_date":"2024-09-30 08:19:38","uploaded":"2024-10-04 05:14:09","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1214.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409795.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 6.2.12A (new), 6.2A, 7.5.1, 7.5.2, 7.5.4, 7.6.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409796","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":24460,"status":"not treated","reservation_date":"2024-09-30 08:19:38","uploaded":"2024-10-04 05:14:09","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5656.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409796.zip","group":"S2","meeting":"S2-165","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":"S2-2409797","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":24470,"status":"not treated","reservation_date":"2024-09-30 08:19:39","uploaded":"2024-10-04 05:14:09","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5022.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409797.zip","group":"S2","meeting":"S2-165","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":"S2-2409822","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":"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":25250,"status":"not treated","reservation_date":"2024-09-30 09:22:25","uploaded":"2024-09-30 09:25:45","revisionof":"","revisedto":"S2-2411830","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5661.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409822.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409828","title":"General training procedure for Vertical Federated Learning between NWDAF(s) and AF(s)","source":"China Mobile, CATT, ZTE, OPPO, China Telecom, ETRI, Huawei, Nokia, Futurewei, Samsung","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: New clause 6.2G.2.X is added to specify the general training procedure for vertical federated learning between AF and NWDAFs. Compared to the revision S2-2409416 in last meeting SA WG2#164, in TS23.288, VFL Registration and Discovery procedure in clause 6.2H.2.1 is already defined, hence, the related EN can be removed.","secretary_remarks":"Revision of (noted) S2-2409416. Revised in parallel session to S2-2410665.","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":"revised","reservation_date":"2024-09-30 10:05:39","uploaded":"2024-10-01 11:54:40","revisionof":"S2-2409416","revisedto":"S2-2410665","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1134.0,"crrevision":5.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409828.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2G.2.X (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409831","title":"Performance monitoring for AI\/ML based positioning in TS23.273","source":"China Mobile, CATT, ZTE, OPPO","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the procedures that MTLF-based model performance monitoring for AI\/ML positioning.","secretary_remarks":"Revision of (postponed) S2-2407807. Confirm Specification Number - CR states 23.273! 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":"2024-09-30 10:07:00","uploaded":"2024-10-01 11:54:40","revisionof":"S2-2407807","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1139.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409831.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409832","title":"Procedure for LMF to retrieve ML models in TS23.273","source":"China Mobile","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the procedure that LMF retrieves ML models for AI\/ML positioning.","secretary_remarks":"Revision of (unhandled) S2-2407808. 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":"2024-09-30 10:08:35","uploaded":"2024-10-01 11:54:40","revisionof":"S2-2407808","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":542.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409832.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.x (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409857","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) S2-2408000. 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":"2024-09-30 21:25:40","uploaded":"2024-10-04 23:19:49","revisionof":"S2-2408000","revisedto":"S2-2411369","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_165_Hyderabad_2024-10\/Docs\/S2-2409857.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409858","title":"KI#1: Use Pseudo Analytics ID for model storage and retrieval and MTLF discovery.","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"discussion","for":"Discussion","abstract":"This contribution analyses how to store and retrieve models and how to discover an MTLF related to key issue 1. A related CR is in S2-2409859.","secretary_remarks":"Revision of (unhandled) S2-2408610. 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":"2024-09-30 21:33:15","uploaded":"2024-10-04 23:19:49","revisionof":"S2-2408610","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_165_Hyderabad_2024-10\/Docs\/S2-2409858.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409859","title":"KI#1: model storage and retrieval via Pseudo Analytics ID","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: A pseudu Analytics ID for LMF models is defined. This enables the reuse of the NWDAF Model Info and NWDAF Model Provision services with the LMF as consumer without the addition of new parameters.","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":24500,"status":"not treated","reservation_date":"2024-09-30 21:45:22","uploaded":"2024-10-04 23:19:49","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1219.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409859.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 6.2A.1, 7.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409860","title":"KI#1: model retrieval via Pseudo Analytics ID","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: A pseudu Analytics ID for LMF models is used by the LMF as consumer of the NWDAF Model Info and NWDAF Model Provision services","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":"2024-09-30 22:16:23","uploaded":"2024-10-04 23:19:49","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":581.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409860.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409861","title":"KI#1: Bulk data collecion by MTLF from LMF","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":"Merged into S2-2410670","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":"merged","reservation_date":"2024-09-30 23:05:43","uploaded":"2024-10-04 23:19:49","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":582.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409861.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409862","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":"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":24520,"status":"not treated","reservation_date":"2024-01-10 00:03:58","uploaded":"2024-10-04 23:19:49","revisionof":"","revisedto":"S2-2411362","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5665.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409862.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"7.2.16","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409863","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) S2-2408026. 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":"2024-01-10 00:25:30","uploaded":"2024-10-04 23:19:49","revisionof":"S2-2408026","revisedto":"S2-2411364","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5507.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409863.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.18","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409864","title":"KI#1: Bulk data collecion by MTLF from LMF","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: LMF operations to collect input data to train a model to determine locations based on RAN measurements are added Service operations to inquire UEs at AMF are corrected","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":"2024-01-10 00:35:47","uploaded":"2024-10-04 23:19:49","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":583.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409864.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409866","title":"KI#3: Analysis for TR Conclusions and Proposed way Forward.","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"discussion","for":"Discussion","abstract":"This contribution analyses key issue 3 and proposes a way forward based on the TR 23.700-84 conclusion. A related CR is in S2-2409867.","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":25080,"status":"not treated","reservation_date":"2024-01-10 01:06:36","uploaded":"2024-10-04 23:19:49","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_165_Hyderabad_2024-10\/Docs\/S2-2409866.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409867","title":"KI#3: QoE Assistance information analytics","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Define new analytics in TS23.288","secretary_remarks":"Confirm Spec version used - CR states 18.6.0! 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":25090,"status":"not treated","reservation_date":"2024-01-10 01:12:40","uploaded":"2024-10-04 23:19:49","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1220.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409867.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409873","title":"General Vertical Federated Learning Procedure","source":"Lenovo, Toyota","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The following changes are made taking into account the agreed principles. P#2.4: For VFL training process: P#2.4.1: Either the NWDAF or the AF can act as VFL server and initiate VFL training process with the VFL client(s). (The general procedure supports the VFL server being either NWDAF or AF. P#2.4.2: If an untrusted AF is involved in the VFL training process, their interactions with the NWDAF(s) are via NEF. When the NWDAF acts as VFL Server, the NWDAF can receive labels from an AF. (Step 2 indicates that if VFL server is AF the request may be sent via NEF. P#2.4.3: An identifier is allocated by a VFL server, which is used to correlate the participants during the VFL training and subsequent VFL inference processes and it is associated with the distributed ML Models in the VFL joint model training process. (Step 2: Introduces the VFL training identifier in step 2 that is assigned by the VFL server. P#2.4.4: VFL Clients compute the intermediate results for their local ML models involved in the VFL training and provide reports with the intermediate results to the AF or NWDAF acting as VFL server. (Steps 2 through 5 provide the details P#2.4.5: VFL clients may also provide intermediate results (e.g. gradient information, loss information) to other VFL clients as instructed by the VFL server. (This principle is not covered in this CR. P#2.4.6: An AF or NWDAF acting as VFL server aggregates intermediate results from VFL client(s), trains a local model, computes intermediate results based on its local ML model, and sends the intermediate results towards VFL clients involved in the joint VFL training process. (Step 5 provides the details. P#2.4.7: VFL server may compute different intermediate training information (e.g. gradient information, loss information) for updating its own local model and the models of VFL clients during the VFL training process after processing the received intermediate results (that may include convergence reports), sends the updates to the VFL client(s), and the VFL server\/client(s) update their local ML model based on the received information. The VFL server determines when the VFL training process terminates, then it will inform the VFL Clients that the training ends. (Steps 6 7 provide the details NOTE 6: Whether further specification on how the AF provides the label to NWDAF is needed in P#2.4.2 will be discussed in normative work. (It is suggested that there is no need for the AF to provide the labels to the NWDAF. NOTE 7: Whether and how P#2.4.5 is supported will be determined in normative phase. NOTE 8: How the initial model is provided to VFL clients is to be discussed in normative phase. (It is suggested that there is no need for the AF to provide the labels to the 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":24720,"status":"not treated","reservation_date":"2024-01-10 08:49:58","uploaded":"2024-10-04 16:20:32","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1221.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409873.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.X (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409886","title":"Update of distributed inference procedure for a model trained using VFL","source":"Lenovo, Toyota","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The following changes are added according to agreed principles: P#2.5: For VFL inference process: P#2.5.1: NWDAF acting as VFL server scenario, the NF consumer of analytics will obtain the required output based on the VFL inference process coordinated by VFL server, which is generated via the VFL inference process between VFL sever and corresponding AFs or NWDAF acting as VFL client(s): - For NWDAF acting as VFL server, NWDAF triggers the VFL inference phase after receiving the subscription or request for analytics and delivers the analytics to the NF consumer. ( Already agreed as part of steps 0 1. P#2.5.2: For the AF acting as a VFL server, the AF acting as VFL server can also start an inference process with corresponding NWDAF acting as VFL client(s). The AF may be triggered to start the inference by a 5GC consumer (i.e. NWDAF containing AnLF). Interactions are via NEF if AF is untrusted. (Clarifying in step 4 the procedure where the AF is the VFL server. Adding in a note that the procedure between VFL Server AF and VFL client AF is out of scope of 3GPP. (Removing relevant EN P#2.5.3: Before performing the VFL inference, the NWDAF acting as VFL server determines corresponding AF(s) and\/or NWDAF(s) as VFL client(s) for the inference process based on the same identifier used in the VFL training process. Related details will be specified in the normative phase. (For discovering FL clients adding the following description in step 2. For the case where VFL Server is the NWDAF containing AnLF, if the VFL server already has a trained ML model the VFL server retrieves ML model information internally. Otherwise, the VFL Server retrieves ML model information from the ADRF. ML model information includes the address of VFL Client NWDAF(s)\/AF(s), contributions weights, VFL training ID. For the case where the VFL Server is the AF details of ML model information retrieval are out of scope of 3GPP. P#2.5.4: The VFL inference process may be controlled by a set of requirements, i.e. whether the determination if all VFL participants associated with the same identifier are needed in the VFL inference process may be based e.g. on accuracy requirements, the VFL signalling and load cost, contribution weights of each client, and temporal availability of output from VFL participants. (For selecting FL clients adding the following description in new step 3 The VFL server selects the VFL clients that were used during ML training process based on the ML model information received. The VFL server select candicate VFL clients taking into account accuracy information\/contribution weights of each VFL client. P#2.5.5: When performing VFL model performance monitoring, inference data can be used for model retraining, which is aligned with R18. Not covered in this CR. In addition the following clarifications are made: In step 1 clarifying that if the NWDAF containing AnLF does not support VFL inference then it discovers a VFL server Renaming VFL Model Correlation ID to VFL training ID aligned with principle 2.5.3 Adding description on the procedure for the VFL Server to aggregate inference results taking into account accuracy\/contribution weight information.","secretary_remarks":"Merged into S2-2410676","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":"merged","reservation_date":"2024-01-10 08:52:48","uploaded":"2024-10-04 16:20:32","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1222.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409886.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2G.2, 6.2G.2.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409887","title":"Clarification of VFL server registration and discovery","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Editor's note: Whether the FL capability will be extended or a new VFL capability will be defined is FFS. It is proposed to extend the FL capabilty type by including VFL Server\/VFL client capability. Editor's note: Whether the VFL server\/client needs to register into NRF any interoperability information is FFS. Editor's note: Whether to use Vendor ID(s) or introduce new identifiers for interoperability among NWDAF and AFs is FFS. For both editor's note it is proposed to introduce a single identifier (VFL interoperability identifier) that allows VFL server to discover interoperable VFL clients to participate in VFL training. The VFL interoperability identifier is per Analytics ID. Editor's note: The content of the AF VFL-related capability is FFS.","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":24730,"status":"not treated","reservation_date":"2024-01-10 08:54:59","uploaded":"2024-10-04 16:20:32","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1223.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409887.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409888","title":"Vertical Federated Learning Sample Alignment","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The following changes are made according to the agreed principles. P#2.3: For sample alignment for VFL: P#2.3.1: For NWDAF acting as VFL Server, NWDAF triggers sample alignment, may query NWDAFs or AFs acting as VFL clients to query availability of samples, and generates the interclause of samples. (Introduce description in a new clause where sample alignment is carried out as part of VFL preparation procedure P#2.3.2 In case of VFL between the NWDAF as VFL server and AF as VFL client, the NEF may be involved in sample alignment with mapping of information (e.g. internal versus external information) , then NWDAF as VFL server will determine the final list of participants supporting the samples for VFL training. (This principle is not addressed P#2.3.3: For AF acting as VFL Server and NWDAFs acting as VFL clients, AF performs sample alignment, selects samples to be used in the training process and generates the interclause of samples. and NOTE 4: How NEF assists sample alignment in P#2.3.3 will be determined in normative phase. ( Clarifying in step 6 that the NEF may assist in the sample alignment when the VFL server is the AF. It is clarified that the NEF NEF may optionally carry out sample alignment by selecting samples supported by all VFL client based on the available data provided by each VFL client and the VFL server. P#2.3.4: Feature description information may be registered to the NRF or locally configured in the NWDAF or the AF, negotiated between VFL server and VFL client when performing feature alignment. Feature alignment is optional in a VFL process. (This principle is not addressed in this CR NOTE 2: Whether and how the feature alignment is supported will be determined in normative phase. ( It is proposed feature alignment to carried out during the VFL preparation procedure where the Feature is mapped to an Event ID. NOTE 3: The procedure to perform sample alignment is not agreed yet, i.e. it can be done in a standalone procedure or part of the preparation phase, which will be determined in normative phase. ( It is proposed sample alignment to be carried out during preparation phase NOTE 5: For P#2.3.2 and P#2.3.3, whether and how NEF supports to be involved in generating the intersection of candidate samples is to be discussed in normative phase. (It is proposed the NEF to perform sample alignment only for the case where the VFL server is an AF.","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":24740,"status":"not treated","reservation_date":"2024-01-10 08:57:37","uploaded":"2024-10-04 16:20:32","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1224.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409888.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.x (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409889","title":"Update on Data Collection by LMF procedure","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"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 LMF triggers UE to collect data by sending a supplamentatry service 'LCS Periodic-Triggered Invoke Request' which includes configuration to collect data within an LPP message UE collects data based on the LPP configuration When the UE is ready to report data the UE sends an Event Report LMF and UE establish an LPP session to retrieve data LMF may store data in ADRF. The ENs for UE capabilities are removed as this is implicitly supported by the UE acknowledging the LCS Periodic-Triggered Invoke Request for Data collection. It is assumed that RAN will specify the data collection procedure using LPP messages.","secretary_remarks":"Revised in parallel session to S2-2410671.","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":"2024-01-10 09:00:53","uploaded":"2024-10-04 16:20:32","revisionof":"","revisedto":"S2-2410671","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":584.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409889.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409893","title":"QoS and policy assistance service by NWDAF","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add new clause for general description of Assistance to Parameter Determination functionality and specific description of assistance to QoS and Policy control Add service definition about Parameter Determiniation assistance","secretary_remarks":"Revision of (postponed) S2-2407647. 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":25100,"status":"not treated","reservation_date":"2024-01-10 09:03:04","uploaded":"2024-10-04 05:15:37","revisionof":"S2-2407647","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1128.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409893.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.X(new), 6.1D (new), 7.X(new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409896","title":"Discussion on new service provided by NWDAF for QoS and policy assistance .","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"discussion","for":"Discussion","abstract":"KI#3 concludes that NWDAF provides QoS and policy assistance information to the service consumer. It is still under discussion on whether the assistance information should be provided via existing analytics, via new analytics, or via a new service. From different aspects, we discuss and summarize the advantages on defining a new NWDAF service for QoS and policy assistance, in order to provide a holistic picture of the issue.","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":25110,"status":"not treated","reservation_date":"2024-01-10 09:03:06","uploaded":"2024-10-04 05:15:37","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_165_Hyderabad_2024-10\/Docs\/S2-2409896.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409897","title":"Overload control considering signaling storm analytics","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the general description that 5G NF may take measures to prevent overload based on the analytics from NWDAF e.g. signaling 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":25260,"status":"not treated","reservation_date":"2024-01-10 09:03:06","uploaded":"2024-10-04 05:15:37","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5672.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409897.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.19.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409922","title":"KI#2: Addressing open issues for NWDAF discovery for VFL","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: For NWDAFs supporting VFL, NF profile contains a specific VFL capability, Analytics ID, Vendor ID and optionally vendor specific feature information","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":24750,"status":"not treated","reservation_date":"2024-01-10 16:31:55","uploaded":"2024-10-04 23:19:49","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1232.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409922.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409923","title":"KI#2: Merging all VFL procedures into one clause","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clauses 6.2G and 6.2H are merged","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":24760,"status":"not treated","reservation_date":"2024-01-10 16:50:37","uploaded":"2024-10-04 23:19:49","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1233.0,"crrevision":"","crcategory":"D","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409923.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":false,"clauses_affected":"6.2G, 6.2H","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409924","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 S2-2409922.","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":24770,"status":"not treated","reservation_date":"2024-01-10 17:20:06","uploaded":"2024-10-04 23:19:49","revisionof":"","revisedto":"S2-2411370","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_165_Hyderabad_2024-10\/Docs\/S2-2409924.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409925","title":"KI#2: VFL model correlation ID.","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"discussion","for":"Discussion","abstract":"Whether a VFL model correlation IF is required. Related changes are proposed in S2-2409926.","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":24780,"status":"not treated","reservation_date":"2024-01-10 17:47:51","uploaded":"2024-10-04 23:19:49","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_165_Hyderabad_2024-10\/Docs\/S2-2409925.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409926","title":"KI#2: Updating Inference procedure","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 1. Remove EN about VFL model correlation ID 2. The NWDAF acting as VFL server includes information about the applicable feature, analytics filters and Target of Analytics Reporting and may include Time when analytics information is needed and an Analytics Metadata Request. 3. The VFL client may in addition include validity period, confidence, and Client Analytics Metadata Information when sending inference results to the server. 4. If the VFL server used an inference subscription in step 2, step 5 may be repeated","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":24790,"status":"not treated","reservation_date":"2024-01-10 17:51:21","uploaded":"2024-10-04 23:35:16","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1234.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409926.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":false,"clauses_affected":"6.2G.2.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409927","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 S2-2409928.","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":24800,"status":"not treated","reservation_date":"2024-01-10 18:04:54","uploaded":"2024-10-04 23:19:49","revisionof":"","revisedto":"S2-2411371","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_165_Hyderabad_2024-10\/Docs\/S2-2409927.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409928","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 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 Introduce an 'AF VFL service ID', store it in the NRF, and use it for the selection of NWDAFs as VFL clients and in training and inference request towards NWDAFs as VFL clients. An untrusted AF as VFL server may supply 'Vendor ID' and 'AF VFL service ID' as NWDAF selection criteria, but NEF needs to authorizes the use. The NEF supports sample alignment by proxying related messages and modifying the identifiers\/description of samples between an external and internal format where required (e.g. Transforming GPSIs into SUPIs, and modifying description of an area. For UEs as samples, the AF can reuse the Nnef_MemberUESelectionAssistance service to check the availability of UEs. The AF as VFL server may be triggered by internal logic or the subscription to an event received via the Naf_EventExposure service from an NWDAF to perform a VFL inference procedure Document call flows when AF is VFL server separately from call flows when NWDAF is VFL server.","secretary_remarks":"Revised in parallel session to S2-2410677.","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":"revised","reservation_date":"2024-01-10 18:08:57","uploaded":"2024-10-04 23:19:49","revisionof":"","revisedto":"S2-2410677","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1235.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409928.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409929","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 S2-2409930 and S2-2409931.","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":24810,"status":"not treated","reservation_date":"2024-01-10 18:18:10","uploaded":"2024-10-04 23:19:49","revisionof":"","revisedto":"S2-2411373","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_165_Hyderabad_2024-10\/Docs\/S2-2409929.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409930","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":"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":23880,"status":"postponed","reservation_date":"2024-01-10 18:23:54","uploaded":"2024-10-04 23:19:49","revisionof":"","revisedto":"S2-2411374","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1236.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409930.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409931","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":"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":24820,"status":"not treated","reservation_date":"2024-01-10 18:27:20","uploaded":"2024-10-04 23:19:49","revisionof":"","revisedto":"S2-2411375","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5676.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409931.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409932","title":"KI#2: VFL training procedures with NWDAF as server","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Added New Clauses related to Vertical Federated Learning Procedures for sample allignment and model training with NWDAF as 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":24830,"status":"not treated","reservation_date":"2024-01-10 18:33:52","uploaded":"2024-10-04 23:19:49","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1237.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409932.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409933","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) S2-2408485. 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":24840,"status":"not treated","reservation_date":"2024-01-10 18:38:22","uploaded":"2024-10-04 23:19:49","revisionof":"S2-2408485","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5590.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409933.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409934","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) S2-2408483. 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":24850,"status":"not treated","reservation_date":"2024-01-10 18:44:40","uploaded":"2024-10-04 23:19:49","revisionof":"S2-2408483","revisedto":"S2-2411376","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1173.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409934.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409935","title":"KI#2: NWDAF 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 is added to allow registration and discovery of NWDAF as VFL server or client","secretary_remarks":"Revision of (unhandled) S2-2408493. 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":24860,"status":"not treated","reservation_date":"2024-01-10 18:49:19","uploaded":"2024-10-04 23:35:16","revisionof":"S2-2408493","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5591.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409935.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.3.13","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409936","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) S2-2408487. 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":24870,"status":"not treated","reservation_date":"2024-01-10 18:56:37","uploaded":"2024-10-04 23:19:49","revisionof":"S2-2408487","revisedto":"S2-2411377","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":4971.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409936.zip","group":"S2","meeting":"S2-165","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":"S2-2409937","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) S2-2408524. 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":24880,"status":"not treated","reservation_date":"2024-01-10 19:02:18","uploaded":"2024-10-04 23:19:49","revisionof":"S2-2408524","revisedto":"S2-2411378","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5598.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409937.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409938","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) S2-2408490. Confirm Spec version used - CR states 18.7.0! 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":24890,"status":"not treated","reservation_date":"2024-01-10 19:07:36","uploaded":"2024-10-04 23:19:49","revisionof":"S2-2408490","revisedto":"S2-2411379","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1175.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409938.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409939","title":"Example mitigation actions for signalling storm caused by NF signalling","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 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) S2-2407533. 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":25270,"status":"not treated","reservation_date":"2024-01-10 19:15:42","uploaded":"2024-10-04 23:19:49","revisionof":"S2-2407533","revisedto":"S2-2411387","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":4839.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409939.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"4.17.9","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409941","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 S2-2409942 and S2-2409943","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":25280,"status":"not treated","reservation_date":"2024-01-10 20:10:32","uploaded":"2024-10-04 23:19:48","revisionof":"","revisedto":"S2-2411388","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_165_Hyderabad_2024-10\/Docs\/S2-2409941.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409942","title":"KI#4: SCP Event Exposure to detect signaling storm","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","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":25290,"status":"not treated","reservation_date":"2024-01-10 20:17:42","uploaded":"2024-10-04 23:19:48","revisionof":"","revisedto":"S2-2411389, S2-2411485","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5038.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409942.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409943","title":"KI#4: SCP Event Exposure to detect signaling storm","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","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":25300,"status":"not treated","reservation_date":"2024-01-10 20:21:17","uploaded":"2024-10-04 23:19:48","revisionof":"","revisedto":"S2-2411390","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5677.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409943.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409962","title":"23.288 : Accuracy monitoring for QoS and Policy Assistance Analytics","source":"ETRI","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 applied to the action in the Analytics Feedback Information. Collect additional information on the applied QoS parameters for accuracy monitoring of QoS and Policy Assistance Analytics Add descriptions on how the NWDAF calculates the accuracy of 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":24040,"status":"not treated","reservation_date":"2024-02-10 05:13:25","uploaded":"2024-10-04 08:44:28","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1239.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409962.zip","group":"S2","meeting":"S2-165","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":"S2-2409965","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":"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":24370,"status":"postponed","reservation_date":"2024-02-10 08:46:01","uploaded":"2024-10-04 09:56:29","revisionof":"","revisedto":"S2-2411590","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG5","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409965.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409966","title":"ML Model based UE positioning support","source":"NTT DOCOMO","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding ML model-based approach as an option for UE positioning Updating the capabilities of the LMF Clarifying the role of NWDAF and OAM in the ML model-based UE positioning for providing ML model","secretary_remarks":"Revision of (unhandled) S2-2407588. Revised in parallel session to S2-2410672.","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":"revised","reservation_date":"2024-02-10 08:50:31","uploaded":"2024-10-04 10:02:21","revisionof":"S2-2407588","revisedto":"S2-2410672","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":537.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409966.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"2, 4.2b, 4.3.8, 4.3.X (new), 4.3.Y (new), 5.16, 5.X (new), 6.X (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409967","title":"QoS Flows Analytics","source":"NTT DOCOMO","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding a new sub-clause for QoS Flows Analytics ID","secretary_remarks":"Revision of (merged and withdrawn) S2-2409091. 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":25120,"status":"not treated","reservation_date":"2024-02-10 09:04:03","uploaded":"2024-10-04 10:22:33","revisionof":"S2-2409091","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1121.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409967.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.X","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409968","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":"Revision of (unhandled) S2-2407590. 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":25130,"status":"not treated","reservation_date":"2024-02-10 09:08:18","uploaded":"2024-10-04 10:17:16","revisionof":"S2-2407590","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":4849.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2409968.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2.8.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409969","title":"Options for NWDAF Assistance to PCF for QoS Profile Determination","source":"NTT DOCOMO","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"discussion","for":"Discussion","abstract":"This paper discusses different options for KI#3","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":25140,"status":"not treated","reservation_date":"2024-02-10 09:11:04","uploaded":"2024-10-04 10:23:52","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_165_Hyderabad_2024-10\/Docs\/S2-2409969.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410003","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) S2-2407492. 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":25150,"status":"not treated","reservation_date":"2024-02-10 19:10:16","uploaded":"2024-10-04 22:19:45","revisionof":"S2-2407492","revisedto":"S2-2411642","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1097.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410003.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.x (New)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410004","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) S2-2407493. 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":25160,"status":"not treated","reservation_date":"2024-02-10 19:10:18","uploaded":"2024-10-04 22:19:45","revisionof":"S2-2407493","revisedto":"S2-2411643","release":"Rel-19","crspec":"23.503","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1303.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410004.zip","group":"S2","meeting":"S2-165","year":2024,"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":"S2-2410005","title":"Discussion on VFL.","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"discussion","for":"Decision","abstract":"In this paper some parameters supporting VFL 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":24900,"status":"not treated","reservation_date":"2024-02-10 19:10:20","uploaded":"2024-10-04 22:19:45","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_165_Hyderabad_2024-10\/Docs\/S2-2410005.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410008","title":"KI#2 Update of VFL training and inference","source":"Ericsson","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 5.2: Following ENs are solved Editor's note: Details of ML Model handling, supported features, Feature alignment and Sample alignment are FFS. Editor's note: Whether we can use the existing FL capability information IE, or a new VFL capability information IE is introduced, is FFS. Editor's note: Whether additional VFL capability information needs to be registered in NRF is required or new IEs are needed in the VFL capability information, is FFS. By introducing follwing text 'An NWDAF containing MTLF supporting VFL either as client or as server, include as part of the NF profile registered in NRF the VFL Interoperability information (e.g. type of supported VFL training method(s)). When the VFL training method is 'neural neworks' then optionally the dimensionality of the output is also added, optionally support for ML model convergence reports and optionally supported Feature IDs.' Changes in 6.2F.2: Introducing new parameters for VFL, and stating which parameters are only for HFL. See Discussion paper S2-2410005 for details. Moved 6.2H Registration and Discovery procedure into 6.2G Changes in 6.2G Registration and Discovery procedure Solving: Editor's note: Whether the FL capability will be extended or a new VFL capability will be defined is FFS. By using new VFL capability Editor's note: Whether the VFL server\/client needs to register into NRF any interoperability information is FFS. and Editor's note: Whether to use Vendor ID(s) or introduce new identifiers for interoperability among NWDAF and AFs is FFS. by using new VFL Interoperability Information Editor's note: The content of the AF VFL-related capability is FFS. by referring to clause 6.2.2.3 plus the added info in step1 Added Preparation procedure Alignments including Sample and feature alignment is done in this phase Using S2-2409416 as a base for General training procedure Added AF as server All the below Editor's Notes are solved Editor's Note: Whether one general procedure or two separate procedures for NWDAF\/AF as server will be discussed and decided in future meeting when the procedures are stable. One procedure is introduced Editor's Note: It's FFS to determine the VFL preparation procedure. Preparation phase including alignments is introduced 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. Consumer is introduced Editor's Note: How the VFL server and client register to the network, how to discover VFL server or VFL client is FFS. Both registration and Discovery is explained 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. Possibility to leave and also termination of VFL procedure are explained Editor's Note: Further extensions are needed to show when any of the VFL participants are untrusted AF(s). In this case the procedure below will contain a NEF, and how the NEF assists the VFL training process as well as whether the service operations going via NEF is using","secretary_remarks":"Revised in parallel session to S2-2410683, merging S2-2410145 and S2-2410077","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":"revised","reservation_date":"2024-02-10 19:10:21","uploaded":"2024-10-04 22:19:45","revisionof":"","revisedto":"S2-2410683","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1246.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410008.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410010","title":"Updates to the new analytics ID to support Signalling storm Mitigation and Prevention","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Two Editor Notes for fetching KPIs\/counters from OAM and whether the collected data is sufficient, are resolved. Following changes have been applied to the input data: NF ID is removed from UE context table as this is redundant data since it is known what NF has is the data provider. Posterior type of responses are removed because it is unclear what those should contain. Number of unhandled signalling in the UE context table is removed because it is believed that in an overload situation an NF shall not be obliged to register this type of information. NF context data in the UE context table are removed because it was a header over another header and won't add any new information. Timer in the UE context table is removed as such information are not sent over SBI but rather provided by OAM. The total number of failed responses in the UE context table is removed since it is believed that NWDAF can aggregate the number of failed responses internally. In NF context table, load information from UPF is redundant and covered by NF load and status information in the same table. In NF context table, type and number of requests is changed to 'Total number of requests to NRF' which indicates the total number of requests received by NRF which would be related to the NF. As a results the field 'Number of requests from NF' is removed. In the NF context table, success and failure trend is removed since it is believed that it is an optimization related metric of the total number of requests and therefore not needed. In the NF context table, the field 'Number of requests from NF' is removed because similar data in the table of information per UE is already provided. Following changes have been applied to the output data: Signalling information is removed since it is unclear how the consumer NF should use the information. Indentations have been updated to reflect our understanding.","secretary_remarks":"Revised to S2-2410610","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":25310,"status":"revised","reservation_date":"2024-02-10 19:10:22","uploaded":"2024-10-05 08:11:09","revisionof":"","revisedto":"S2-2410610","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1247.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410010.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410058","title":"Discussion on AIML data collection.","source":"LG Electronics","contact":"Jaewoo Kim","contact-id":92249,"tdoctype":"discussion","for":"Discussion","abstract":"This paper discusses the solution options on AIML data collection in the LS from RAN.","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":24200,"status":"not treated","reservation_date":"2024-03-10 07:35:54","uploaded":"2024-10-04 09:51:30","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_165_Hyderabad_2024-10\/Docs\/S2-2410058.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410059","title":"[DRAFT] Reply LS on AIML data collection","source":"LG Electronics","contact":"Jaewoo Kim","contact-id":92249,"tdoctype":"LS out","for":"Approval","abstract":"Reply LS on AIML data collection","secretary_remarks":"Response to S2-2409600. 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":"2024-03-10 07:38:11","uploaded":"2024-10-04 09:51:30","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410059.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410060","title":"NWDAF capability to support Vertical Federated Learning in TS 23.502","source":"LG Electronics","contact":"Jaewoo Kim","contact-id":92249,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding VFL capability in NF profile of NWDAF. Adding a NOTE that NWDAF with VFL capability contains both AnLF and MTLF in this release.","secretary_remarks":"Revision of (unhandled) S2-2407805. 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":24910,"status":"not treated","reservation_date":"2024-03-10 07:39:52","uploaded":"2024-10-04 09:51:30","revisionof":"S2-2407805","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":4881.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410060.zip","group":"S2","meeting":"S2-165","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":"S2-2410061","title":"Resolving ENs to support Vertical Federated Learning","source":"LG Electronics","contact":"Jaewoo Kim","contact-id":92249,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding VFL capability in NF profile of NWDAF and AF. Adding description for the discovery of NWDAF with VFL capability. Adding a NOTE that NWDAF with VFL capability contains both AnLF and MTLF in this release.","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":23960,"status":"postponed","reservation_date":"2024-03-10 07:41:13","uploaded":"2024-10-04 09:51:30","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1248.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410061.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 5.4, 6.2H.2.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410062","title":"Registration and Discovery procedure for VFL When AF is VFL Server","source":"LG Electronics","contact":"Jaewoo Kim","contact-id":92249,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Describe the Registration and Discovery procedure procedure for VFL when NWDAFs are the VFL client with an AF is VFL Server.","secretary_remarks":"Merged into S2-2410679","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":"merged","reservation_date":"2024-03-10 07:42:34","uploaded":"2024-10-04 09:51:30","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1249.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410062.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.1, 6.2H.2.X (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410077","title":"Sample alignment and sample update for Vertical Federated Learning","source":"Apple","contact":"Sudeep M Vamanan","contact-id":103491,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduces procedure description for VFL sample alignment and sample update. The procedure is described in a generic way between VFL client and VFL server and is applicable in both scenarios of AF and NWDAF acting as VFL server. Specific differences are described in the procedure text. The details for the procedure is explained in the accompanying discussoin paper in S2-2410078","secretary_remarks":"Merged into S2-2410683","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":"merged","reservation_date":"2024-03-10 09:26:06","uploaded":"2024-10-04 21:15:43","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1250.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410077.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410078","title":"VFL: Sample Alignment and Sample Update.","source":"Apple","contact":"Sudeep M Vamanan","contact-id":103491,"tdoctype":"discussion","for":"Agreement","abstract":"This discussion paper analyses the key components of sample alignment procedure and makes proposals for the procedure in 5GC.","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":24920,"status":"not treated","reservation_date":"2024-03-10 09:27:53","uploaded":"2024-10-04 21:15:44","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_165_Hyderabad_2024-10\/Docs\/S2-2410078.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410089","title":"Updates to General inference procedure for vertical federated learning","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Updates to Clause 6.2G for solving the following ENs. Editor's note: Which service used between the consumer and the VFL server is FFS. The use of existing services is proposed, with extensions when necessary. Editor's note: How the VFL server determines the VFL clients and whether the VFL server may not select all VFL clients is FFS. Definition of the VFL Inference configuration with information and criteria to control the inclusion of VFL participants in a single VFL inference procedure. Editor's note: Whether the VFL model correlation ID is needed or using the model ID is FFS. The use of the VFL model correlation ID has been concluded in the TR 23.700-84. It is used to identify the specific VFL inference procedure. Editor's note: Which service is used between the VFL server and VFL client is FFS. The use of existing services is proposed, with extensions when necessary. Editor's note: Additional parameters in the request are FFS, e.g. UE ID(s) which will need to be sent to VFL clients. No additional parameters are required, as the existing services already include the 'Target of Analytics' which covers exactly the list of UE IDs. Editor's note: Whether the VFL model correlation is required in step 5 is FFS. No, because at the subscription the VFL model correlation ID has been included and the current notification parameters of the existing services are enough. Editor's note: Whether VFL client may also provide local intermediate inference results to other VFL client is FFS. No, because there is no valid case in 3GPP that justify such solution. Editor's note: Further details of the VFL server computiong the VFL inference is FFS. Specific computing related to VFL Server were defined.","secretary_remarks":"Merged into S2-2410676","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":23970,"status":"merged","reservation_date":"2024-03-10 10:11:15","uploaded":"2024-10-04 05:15:37","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1251.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410089.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2G, 6.2G1, 6.2G.2.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410118","title":"On RAN LS on AIML data collection.","source":"Nokia, NTT DOCOMO, MediaTek Inc., Verizon, InterDigital, BT, AT&T, T-Mobile USA, DISH Network","contact":"Yannick Lair","contact-id":76350,"tdoctype":"discussion","for":"Endorsement","abstract":"SA WG2 received LS from RAN on AIML data collection in S2-2409600\/RP-242389. In this LS, RAN informs that RAN WG2 has discussed the topic of UE side data collection for UE-side model training and analyzed and identified different options as documented in TR 38.843 (see also annex in this contribution).","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":"2024-03-10 12:03:03","uploaded":"2024-10-04 15:50:04","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_165_Hyderabad_2024-10\/Docs\/S2-2410118.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410128","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 (unhandled) S2-2407755. Merged into S2-2410676","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":"merged","reservation_date":"2024-03-10 12:58:54","uploaded":"2024-10-04 13:57:02","revisionof":"S2-2407755","revisedto":"S2-2411614","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1133.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410128.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2G.2.1, New 6.2G.2.x ","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410129","title":"Discussion on way forward for AIML_CN KI#3","source":"Samsung","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"discussion","for":"Discussion","abstract":"Discussion on way forward for AIML_CN KI#3","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":25170,"status":"not treated","reservation_date":"2024-03-10 13:02:03","uploaded":"2024-10-04 13:57:02","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_165_Hyderabad_2024-10\/Docs\/S2-2410129.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410130","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","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) S2-2409138. Revised in parallel session to S2-2410666.","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":"revised","reservation_date":"2024-03-10 13:05:53","uploaded":"2024-10-04 13:57:02","revisionof":"S2-2409138","revisedto":"S2-2410666","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1132.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410130.zip","group":"S2","meeting":"S2-165","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":"S2-2410131","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) S2-2407756. 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":25180,"status":"not treated","reservation_date":"2024-03-10 13:07:36","uploaded":"2024-10-04 13:57:02","revisionof":"S2-2407756","revisedto":"S2-2411618","release":"Rel-19","crspec":"23.503","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1328.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410131.zip","group":"S2","meeting":"S2-165","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":"S2-2410132","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) S2-2407753. 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":25190,"status":"not treated","reservation_date":"2024-03-10 13:08:36","uploaded":"2024-10-04 13:57:02","revisionof":"S2-2407753","revisedto":"S2-2411620","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1131.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410132.zip","group":"S2","meeting":"S2-165","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":"S2-2410135","title":"Update of UE data collection at LMF for AI\/ML based positioning model training","source":"Qualcomm Incorporated","contact":"Juan Zhang","contact-id":73274,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify the interaction between AMF and LMF in step 2. Clarify the procedure between LMF and UE in step 4.","secretary_remarks":"Revised in parallel session to S2-2410673 (withdrawn). Merged into S2-2410979","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":"merged","reservation_date":"2024-03-10 13:30:36","uploaded":"2024-10-04 12:24:40","revisionof":"","revisedto":"S2-2410673","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":590.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410135.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410136","title":"[DRAFT] LS on input data for analytics of NWDAF assisted Network Abnormal Behaviour Mitigation and Prevention","source":"QWCT","contact":"Juan Zhang","contact-id":73274,"tdoctype":"LS out","for":"Approval","abstract":"Brief description of document content.","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":25230,"status":"not treated","reservation_date":"2024-03-10 13:36:16","uploaded":"2024-10-04 12:24:40","revisionof":"","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_165_Hyderabad_2024-10\/Docs\/S2-2410136.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410137","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":"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":"2024-03-10 13:38:50","uploaded":"2024-10-04 12:24:40","revisionof":"","revisedto":"S2-2411546","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_165_Hyderabad_2024-10\/Docs\/S2-2410137.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410138","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":"Response to S2-2409600. 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":"2024-03-10 13:43:35","uploaded":"2024-10-04 12:24:40","revisionof":"","revisedto":"S2-2411558","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":"S2-2409600","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410138.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410145","title":"KI#2: Preparation procedure including sample alignment for AF-initiated VFL","source":"ETRI","contact":"Jihoon Sung","contact-id":88970,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clause 6.2H is updated to address the above conclusion, including the preparation procedure including sample alignment for AF-initiated VFL.","secretary_remarks":"Merged into S2-2410683","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":"merged","reservation_date":"2024-03-10 14:23:57","uploaded":"2024-10-04 13:10:22","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1252.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410145.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410146","title":"KI#2: Enhancement of NWDAF and NEF to support AF-initiated VFL","source":"ETRI","contact":"Jihoon Sung","contact-id":88970,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clause 5.20 is updated to address the above conclusion, including the sample alignment capability as a new capability at NEF.","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":24930,"status":"not treated","reservation_date":"2024-03-10 14:26:28","uploaded":"2024-10-04 13:10:22","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5726.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410146.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410147","title":"KI#2: Enhancement of NRF service for NWDAF and NEF to support AF-initiated VFL","source":"ETRI","contact":"Jihoon Sung","contact-id":88970,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clause 4.15 is updated to address the above conclusion, including the sample alignment capability as a new capability at NEF. Clause 5.2.7.2 is updated to address the above conclusion, including the VFL support scenarios by NWDAF and NEF.","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":24940,"status":"not treated","reservation_date":"2024-03-10 14:28:54","uploaded":"2024-10-04 13:10:22","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5060.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410147.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410204","title":"Support AI\/ML model performance monitoring by LMF","source":"Xiaomi","contact":"Jianning(Carry) LIU","contact-id":88587,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Model performance monitoring by LMF side for LMF-based AI\/ML Positioning","secretary_remarks":"Revised in parallel session to S2-2410674.","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":"revised","reservation_date":"2024-03-10 17:22:46","uploaded":"2024-10-03 17:41:46","revisionof":"","revisedto":"S2-2410674","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":595.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410204.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":true,"ran_affected":true,"cn_affected":true,"clauses_affected":"(new) 5.18.X;","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410205","title":"Support AI\/ML model performance monitoring by NWDAF","source":"Xiaomi","contact":"Jianning(Carry) LIU","contact-id":88587,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Model performance monitoring by NWDAF side for LMF-based AI\/ML Positioning","secretary_remarks":"Revised in parallel session to S2-2410682.","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":"revised","reservation_date":"2024-03-10 17:28:03","uploaded":"2024-10-03 17:41:47","revisionof":"","revisedto":"S2-2410682","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1253.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410205.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":true,"ran_affected":true,"cn_affected":true,"clauses_affected":"6.2E.X(new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410206","title":"Update the input data to train LMF-based positioning Model","source":"Xiaomi","contact":"Jianning(Carry) LIU","contact-id":88587,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: update input data for ML model training 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":24550,"status":"not treated","reservation_date":"2024-03-10 17:33:26","uploaded":"2024-10-03 17:41:47","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":596.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410206.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":true,"ran_affected":true,"cn_affected":true,"clauses_affected":"5.18;","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410207","title":"[DRAFT] Reply LS on data collection to enable ML model training for Direct AI\/ML based positioning","source":"Beijing Xiaomi Electronics","contact":"Jianning(Carry) LIU","contact-id":88587,"tdoctype":"LS out","for":"Approval","abstract":"Reply LS on data collection to enable ML model training for Direct AI\/ML based positioning","secretary_remarks":"Response to S2-2409568. 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":"2024-03-10 17:37:54","uploaded":"2024-10-03 17:41:47","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG1","Cc":"RAN WG2, RAN WG3","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410207.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410210","title":"[DRAFT] Reply LS on AIML data collection","source":"InterDigital Belgium. LLC","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"LS out","for":"Approval","abstract":"[Draft] Reply LS to RAN on AIML data collection","secretary_remarks":"Response to S2-2409600. Revised in parallel session to S2-2410678.","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":"revised","reservation_date":"2024-03-10 20:09:49","uploaded":"2024-10-04 13:55:57","revisionof":"","revisedto":"S2-2410678","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"NR_AIML_air"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"TSG RAN","Cc":"TSG SA, SA WG3, SA WG5, RAN WG1, RAN WG2, RAN WG3, CT WG1","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410210.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410213","title":"[DRAFT] LS on LMF-based AI\/ML Positioning","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"LS out","for":"Approval","abstract":"LS to RAN WG2 on UE positioning using LMF-based AIML model","secretary_remarks":"Revised in parallel session to S2-2410675.","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":"revised","reservation_date":"2024-04-10 00:29:47","uploaded":"2024-10-04 22:19:45","revisionof":"","revisedto":"S2-2410675","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG2","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410213.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410214","title":"KI#1 - Addressing Editor s Note: Procedure for Data Collection for AI\/ML based positioning from NG-RAN","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"This contribution proposes to resolve EN on data collection from NG-RAN.","secretary_remarks":"Revised in parallel session to S2-2410663.","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":"revised","reservation_date":"2024-04-10 00:29:47","uploaded":"2024-10-04 22:19:45","revisionof":"","revisedto":"S2-2410663","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":597.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410214.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18, 5.18.1, 5.18.x (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410215","title":"KI#1 Resolution of Editor s Notes on Data collection.","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"discussion","for":"Agreement","abstract":"This contribution proposes resolution for some of the Editor s Note in TS 23.273.","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":24560,"status":"not treated","reservation_date":"2024-04-10 00:29:48","uploaded":"2024-10-04 22:19:45","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_165_Hyderabad_2024-10\/Docs\/S2-2410215.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410263","title":"Enhancements for LMF-based AI\/ML positioning","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Modify the definitions and architectural descriptions on support of LMF-based AI\/ML positioning. Update\/add the procedures of data collection from the UE\/NG-RAN for LMF-based AI\/ML positioning model training. Define the LMF service that is used by the NWDAF containing MTLF to collect input data from the LMF for LMF-based AI\/ML positioning model training.","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":24570,"status":"not treated","reservation_date":"2024-04-10 04:57:17","uploaded":"2024-10-04 05:30:39","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":598.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410263.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"3.1, 4.1, 4.3.8, 4.4.13, 5.18, 5.18.1, 6.22 (new), 6.22.1 (new), 6.22.x (new), 6.22.y (new), 8.3.1, 8.3.x (new), 8.3.x.1 (new), 8.3.x.2 (new), 8.3.x.3 (new), 8.3.x.4 (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410264","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":"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":"2024-04-10 04:57:18","uploaded":"2024-10-04 05:30:39","revisionof":"","revisedto":"S2-2411510","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_165_Hyderabad_2024-10\/Docs\/S2-2410264.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410265","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) S2-2407529. 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":25200,"status":"not treated","reservation_date":"2024-04-10 04:57:18","uploaded":"2024-10-04 05:30:39","revisionof":"S2-2407529","revisedto":"S2-2411511","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1101.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410265.zip","group":"S2","meeting":"S2-165","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":"S2-2410266","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":"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":25210,"status":"not treated","reservation_date":"2024-04-10 04:57:33","uploaded":"2024-10-04 05:30:39","revisionof":"","revisedto":"S2-2411512","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1255.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410266.zip","group":"S2","meeting":"S2-165","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":"S2-2410267","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) S2-2407532. 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":25220,"status":"not treated","reservation_date":"2024-04-10 04:57:34","uploaded":"2024-10-04 05:30:39","revisionof":"S2-2407532","revisedto":"S2-2411513","release":"Rel-19","crspec":"23.503","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1311.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410267.zip","group":"S2","meeting":"S2-165","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":"S2-2410268","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":"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":"2024-04-10 04:57:49","uploaded":"2024-10-04 05:30:39","revisionof":"","revisedto":"S2-2411514","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_165_Hyderabad_2024-10\/Docs\/S2-2410268.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410276","title":"[DRAFT] LS reply on AIML data collection","source":"Samsung","contact":"Hyesung Kim","contact-id":83054,"tdoctype":"LS out","for":"Approval","abstract":"LS reply on AIML data collection","secretary_remarks":"Response to S2-2409600. 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":"2024-04-10 05:12:03","uploaded":"2024-10-04 11:59:51","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"NR_AIML_air"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"TSG RAN, RAN WG2, SA WG1, SA WG3, SA WG5","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410276.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410277","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":24240,"status":"not treated","reservation_date":"2024-04-10 05:12:03","uploaded":"2024-10-04 11:59:51","revisionof":"","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_165_Hyderabad_2024-10\/Docs\/S2-2410277.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410278","title":"Discussion on AF initiated VFL","source":"KDDI Corporation","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"discussion","for":"Information","abstract":"High level architecture discussion on AF initiated VFL.","secretary_remarks":"Revision of (unhandled) S2-2408320. 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":24950,"status":"not treated","reservation_date":"2024-04-10 05:13:08","uploaded":"2024-10-04 07:50:53","revisionof":"S2-2408320","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_165_Hyderabad_2024-10\/Docs\/S2-2410278.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410279","title":"High-level description for Vertical Federated Learning when AF is as Server.","source":"KDDI","contact":"Sohei Itahara","contact-id":101258,"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 (unhandled) S2-2408257. Revised in parallel session to S2-2410667, merging S2-2409734","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":"2024-04-10 05:19:22","uploaded":"2024-10-04 07:52:18","revisionof":"S2-2408257","revisedto":"S2-2410667","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1161.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410279.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410285","title":"Discovery procedure for Vertical Federated Learning when AF is as Server.","source":"KDDI","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clause 5.2. Resolve two ENs As in Clause 6.2.H.2.1, NEF translates Analytics ID and AF internal ID. Editor's note: Handling of an untrusted AF acting as VFL client, including Analytics ID translation, needs to be documented in a separate clause, and it's FFS. As in Clause 6.2.H.2.1, Feature ID and Vender specific VFL interoperability ID are introduced. They are enough for VFL. Editor's note: Whether additional VFL capability information needs to be registered in NRF is required or new IEs are needed in the VFL capability information, is FFS. Clause 6.2.H.2.1 This CR adds NWDAF discovery procedure when VFL server is AF. This CR resolves two ENs by introducing VFL interoperability ID, which detailed in clause 5.2. Editor's note: Whether the VFL server\/client needs to register into NRF any interoperability information is FFS. Editor's note: Whether to use Vendor ID(s) or introduce new identifiers for interoperability among NWDAF and AFs is FFS.","secretary_remarks":"Revision of (unhandled) S2-2408256. 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":24960,"status":"not treated","reservation_date":"2024-04-10 05:31:13","uploaded":"2024-10-04 07:53:54","revisionof":"S2-2408256","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1160.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410285.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.H.2.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410286","title":"Training procedure for Vertical Federated Learning when AF is as Server.","source":"KDDI","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Define the general training procedure of VFL when AF is as Server.","secretary_remarks":"Revision of (unhandled) S2-2408256. 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":24970,"status":"not treated","reservation_date":"2024-04-10 05:34:49","uploaded":"2024-10-04 07:58:33","revisionof":"S2-2408256","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1160.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410286.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2G","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410287","title":"#KI 2 Adding AF functionality for VFL to TS 23.501","source":"NTT DOCOMO","contact":"Kohei Nozaki","contact-id":101546,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding new functionalities descriptions for AF.","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":24980,"status":"not treated","reservation_date":"2024-04-10 05:36:23","uploaded":"2024-10-04 05:51:01","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5751.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410287.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.10","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410288","title":"Inference procedure for Vertical Federated Learning when AF is as Server.","source":"KDDI","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Define the general inference procedure of VFL when AF is as Server.","secretary_remarks":"Revision of (unhandled) S2-2408256. Merged into S2-2410676","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":"merged","reservation_date":"2024-04-10 05:40:35","uploaded":"2024-10-04 07:59:26","revisionof":"S2-2408256","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1160.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410288.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2G.2.X","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410289","title":"KI#2 Adding functionality to VFL for sample alignment","source":"NTT DOCOMO","contact":"Kohei Nozaki","contact-id":101546,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding new functionalities to FL server 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":24990,"status":"not treated","reservation_date":"2024-04-10 05:41:02","uploaded":"2024-10-04 05:51:01","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1256.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410289.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410292","title":"KI#2 Introduction of VFL inference service","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":"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":24000,"status":"postponed","reservation_date":"2024-04-10 05:46:49","uploaded":"2024-10-04 05:51:01","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1257.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410292.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2G.2.1, 7.1, 7.X","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410300","title":"Remove EN on Vertical Federated Learning procedures when NWDAF is VFL Server","source":"KDDI","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clause 6.2G.2.1 This CR resolves following EN and specifies the detailed procedure between untrusted AF and NWDAF. Editor's note Whether one general procedure or two separate procedures for NWDAF\/AF as server will be discussed and decided in future meeting when the procedures are stable. Two procedures for VFL when AF is as Server and VFL when NWDAF is as Server are required as so far. If we have stable description on both two procedures in the future, we can decide whether to merge them into one procedure or not. Editor's note: Whether the VFL model correlation ID is needed or using the model ID is FFS. VFL model correlation ID is preferred because this ID combines distributed ML model. Editor's note: Additional parameters in the request are FFS, e.g. UE ID(s) which will need to be sent to VFL clients. Sample information should be shared among VFL Server and Client. The corresponding description is added and the EN is removed. Clause 6.2G.2.X This part is based on S2-2409416. The CR resolves the 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. Since VFL Server determines to perform VFL training based on the operator's policy as denoted in Note, no more interaction between consumer and VFL server is needed. Editor's Note: How the VFL server and client register to the network, how to discover VFL server or VFL client is FFS. This is described in Clause 6.2H Editor's Note: Whether one general procedure or two separate procedures for NWDAF\/AF as server will be discussed and decided in future meeting when the procedures are stable. Two procedures are needed as described above. Editor's Note: Further extensions are needed to show when any of the VFL participants are untrusted AF(s). In this case the procedure below will contain a NEF, and how the NEF assists the VFL training process as well as whether the service operations going via NEF is using the existing or new service operation are FFS. NEF related procedure is added to Step 2. Editor's Note: A possible need for a process of sample exchange between VFL server and VFL client is FFS. The process may be determined after agreement on sample and\/or feature alignment. The samples to be used are determined on preparation procedure. After preparation procedure, sample alignment is not needed. Editor s Note: Whether and how to include interoperability information in the VFL training procedure is FFS. VFL model training process is not Editor's Note: Whether weight of feature is computed by VFL server is FFS. The weight of feature belongs to the VFL server internal logic. Editor's Note: Possible procedures to be executed at the end of the VFL training (to terminate a training session and to store\/handle trained models) are FFS. After the VFL training process is terminated, the VFL Server may collect well-trained ML model from VFL Clients, or VFL Server and Client(s) locally store the well-trained model with the VFL model 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":25000,"status":"not treated","reservation_date":"2024-04-10 06:11:28","uploaded":"2024-10-04 09:55:20","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1258.0,"crrevision":"","crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410300.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410307","title":"General preparation procedure for Vertical Federated Learning.","source":"KDDI","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: New Clause 6.2G.2.X is added. VFL preparation procedure aims to algin samples between VFL Server and VFL Client(s).","secretary_remarks":"Confirm CR Revision - CR states 3! 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":25010,"status":"not treated","reservation_date":"2024-04-10 06:16:42","uploaded":"2024-10-04 08:00:25","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1259.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410307.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410322","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) S2-2408259. 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":25020,"status":"not treated","reservation_date":"2024-04-10 07:44:29","uploaded":"2024-10-04 07:57:09","revisionof":"S2-2408259","revisedto":"S2-2411617","release":"Rel-19","crspec":"23.502","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":4945.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410322.zip","group":"S2","meeting":"S2-165","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":"S2-2410324","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) S2-2408130. 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":25030,"status":"not treated","reservation_date":"2024-04-10 07:47:40","uploaded":"2024-10-04 07:56:26","revisionof":"S2-2408130","revisedto":"S2-2411612","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5533.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410324.zip","group":"S2","meeting":"S2-165","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":"S2-2410444","title":"UE Data Collection in 5GC for RAN AIML operation .","source":"Apple","contact":"Sudeep M Vamanan","contact-id":103491,"tdoctype":"discussion","for":"Endorsement","abstract":"This discussion paper analyses the user data privacy and user consent aspects for UE data collection in 5GC.","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":24250,"status":"not treated","reservation_date":"2024-04-10 11:25:26","uploaded":"2024-10-04 21:15:44","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_165_Hyderabad_2024-10\/Docs\/S2-2410444.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410510","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":"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":24580,"status":"not treated","reservation_date":"2024-04-10 14:40:49","uploaded":"2024-10-04 15:33:42","revisionof":"","revisedto":"S2-2411718","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":600.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410510.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.1, 6.1.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410517","title":"Data collection for AI\/ML positioning model training based on NG-RAN measurements","source":"InterDigital, Inc.","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding a new Clause 6.x for high-level procedure of training data collection for positioning model training.","secretary_remarks":"Confirm CR Number - CR states <>! 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":24590,"status":"not treated","reservation_date":"2024-04-10 14:55:59","uploaded":"2024-10-04 15:33:42","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":601.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410517.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410521","title":"Update on Data Collection at LMF to train AI\/ML based positioning model","source":"InterDigital, Inc.","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Include PRUs as source of measurement inputs for model training at LMF.","secretary_remarks":"Confirm CR Number - CR states <>! 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":24600,"status":"not treated","reservation_date":"2024-04-10 15:06:21","uploaded":"2024-10-04 15:33:42","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":602.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410521.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410537","title":"VFL Procedures for discovery and sample\/feature alignment","source":"Interdigital","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: New clause for VFL Sample and Feature Alignment New service operation is proposed to enable a new NEF service operations and NWDAF service operations for 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":25040,"status":"not treated","reservation_date":"2024-04-10 15:58:00","uploaded":"2024-10-04 18:14:21","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1261.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410537.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2X ","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410550","title":"Update Discovery and Selection of NWDAF and AF for VFL as per outstanding Editor s notes","source":"Interdigital, ICS","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Update on which parameters are registered by VFL clients and used for NWDAF\/AF discovery.","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":25050,"status":"not treated","reservation_date":"2024-04-10 16:32:40","uploaded":"2024-10-04 18:14:21","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1262.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410550.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410551","title":"Update to General inference procedure for vertical federated learning to address ENs","source":"Interdigital","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Several E.N.s are resolved to enable the inference procedure.","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":25060,"status":"not treated","reservation_date":"2024-04-10 16:52:01","uploaded":"2024-10-04 18:14:21","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1263.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410551.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2G.2.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410568","title":"KI#4: 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: 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":"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":25320,"status":"not treated","reservation_date":"2024-04-10 19:23:58","uploaded":"2024-10-04 23:19:48","revisionof":"","revisedto":"S2-2411391","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5810.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410568.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.19.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410610","title":"Updates to the new analytics ID to support Signalling storm Mitigation and Prevention","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Two Editor Notes for fetching KPIs\/counters from OAM and whether the collected data is sufficient, are resolved. Following changes have been applied to the input data: NF ID is removed from UE context table as this is redundant data since it is known what NF has is the data provider. Posterior type of responses are removed because it is unclear what those should contain. Number of unhandled signalling in the UE context table is removed because it is believed that in an overload situation an NF shall not be obliged to register this type of information. NF context data in the UE context table are removed because it was a header over another header and won't add any new information. Timer in the UE context table is removed as such information are not sent over SBI but rather provided by OAM. The total number of failed responses in the UE context table is removed since it is believed that NWDAF can aggregate the number of failed responses internally. In NF context table, load information from UPF is redundant and covered by NF load and status information in the same table. In NF context table, type and number of requests is changed to 'Total number of requests to NRF' which indicates the total number of requests received by NRF which would be related to the NF. As a results the field 'Number of requests from NF' is removed. In the NF context table, success and failure trend is removed since it is believed that it is an optimization related metric of the total number of requests and therefore not needed. In the NF context table, the field 'Number of requests from NF' is removed because similar data in the table of information per UE is already provided. Following changes have been applied to the output data: Signalling information is removed since it is unclear how the consumer NF should use the information. Indentations have been updated to reflect our understanding.","secretary_remarks":"Revision of S2-2410010. Merged into S2-2410664","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":"merged","reservation_date":"2024-04-10 22:58:57","uploaded":"2024-10-04 23:01:27","revisionof":"S2-2410010","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1247.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410610.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410662","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 S2-2409674. Revised in parallel session to S2-2410997.","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":"revised","reservation_date":"2024-10-15 06:47:11","uploaded":"2024-10-20 10:31:11","revisionof":"S2-2409674","revisedto":"S2-2410997","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1196.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410662.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410663","title":"KI#1 - Addressing Editor s Note: Procedure for Data Collection for AI\/ML based positioning from NG-RAN","source":"Ericsson, InterDigital","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"This contribution proposes to resolve EN on data collection from NG-RAN.","secretary_remarks":"Revision of S2-2410214. Revised in parallel session to S2-2410668.","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":"revised","reservation_date":"2024-10-15 06:47:11","uploaded":"2024-10-20 10:31:11","revisionof":"S2-2410214","revisedto":"S2-2410668","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":597.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410663.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410664","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]","contact":"DongJin Lee","contact-id":65921,"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 S2-2409714, merging S2-2410610. Revised in parallel session to S2-2410976.","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":"revised","reservation_date":"2024-10-15 06:47:11","uploaded":"2024-10-20 10:31:11","revisionof":"S2-2409714","revisedto":"S2-2410976","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1104.0,"crrevision":7.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410664.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410665","title":"General training procedure for Vertical Federated Learning between NWDAF(s) and AF(s)","source":"China Mobile, CATT, ZTE, OPPO, China Telecom, ETRI, Huawei, Nokia, Futurewei, Samsung, Ericsson","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: New clause 6.2G.2.X is added to specify the general training procedure for vertical federated learning between AF and NWDAFs. Compared to the revision S2-2409416 in last meeting SA WG2#164, in TS23.288, VFL Registration and Discovery procedure in clause 6.2H.2.1 is already defined, hence, the related EN can be removed.","secretary_remarks":"Revision of S2-2409828. Revised in parallel session to S2-2410984.","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":"revised","reservation_date":"2024-10-15 06:47:11","uploaded":"2024-10-20 10:31:11","revisionof":"S2-2409828","revisedto":"S2-2410984","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1134.0,"crrevision":6.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410665.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410666","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 S2-2410130. Revised in parallel session to S2-2410975.","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":"revised","reservation_date":"2024-10-15 06:47:11","uploaded":"2024-10-20 10:31:11","revisionof":"S2-2410130","revisedto":"S2-2410975, S2-2411385","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1132.0,"crrevision":4.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410666.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410667","title":"High-level description for Vertical Federated Learning when AF is as Server.","source":"KDDI, Ericsson, OPPO, ETRI","contact":"Sohei Itahara","contact-id":101258,"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 S2-2410279, merging S2-2409734. Revised in parallel session to S2-2410994.","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":"revised","reservation_date":"2024-10-15 06:47:11","uploaded":"2024-10-20 10:31:11","revisionof":"S2-2410279","revisedto":"S2-2410994","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1161.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410667.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410668","title":"KI#1 - Addressing Editor s Note: Procedure for Data Collection for AI\/ML based positioning from NG-RAN","source":"Ericsson, Nokia, Xiaomi","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"This contribution proposes to resolve EN on data collection from NG-RAN.","secretary_remarks":"Revision of S2-2410663. Revised in parallel session to S2-2410982.","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":"revised","reservation_date":"2024-10-15 06:47:11","uploaded":"2024-10-20 10:31:11","revisionof":"S2-2410663","revisedto":"S2-2410982","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":597.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410668.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410669","title":"Support of LMF selection based on AI\/ML based positioning capability","source":"ZTE, China Telecom, Vivo, OPPO, ETRI, InterDigital, CATT, Xiaomi, Sony","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"WITHDRAWN: Summary of change: Extending the LMF Profile to enable AI\/ML based Discovery and Selection through the NRF and data exposure capability of LMF by NWDAF to perform model training. Adding a note describe that, in the deferred location request scenario, the source LMF may re-select another LMF for AI\/ML based positioning. Editorial modifications.","secretary_remarks":"Revision of S2-2409636. WITHDRAWN","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":"withdrawn","reservation_date":"2024-10-15 06:47:11","uploaded":null,"revisionof":"S2-2409636","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":535.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410670","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: Remove the following ENs: Editor's note: The procedure of NWDAF containing MTLF collects input data for LMF-based AI\/ML Positioning ML model training is FFS. Editor's note: Further details on user consent for data collection for model training will be aligned with SA WG3. Introduce a new procedure of Location Measurement data collection from LMF for NWDAF side AI\/ML positioning ML model training. Change clause 5.18.1 to clause 6.X.1. Enhance the procedure for NWDAF assistance to location services to support ML model provisioning from NWDAF to LMF. 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 S2-2409794, merging S2-2409861. Revised in parallel session to S2-2410978.","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":"2024-10-15 06:47:11","uploaded":"2024-10-20 10:31:11","revisionof":"S2-2409794","revisedto":"S2-2410978","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":574.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410670.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410671","title":"Update on Data Collection by LMF procedure","source":"Lenovo, Qualcomm, Huawei","contact":"Dimitrios Karampatsis","contact-id":70692,"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 S2-2409889. Revised in parallel session to S2-2410979, merging S2-2410135","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":"revised","reservation_date":"2024-10-15 06:47:11","uploaded":"2024-10-20 10:31:11","revisionof":"S2-2409889","revisedto":"S2-2410979","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":584.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410671.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410672","title":"ML Model based UE positioning support","source":"NTT DOCOMO, Ericsson","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding ML model-based approach as an option for UE positioning Updating the capabilities of the LMF Clarifying the role of NWDAF and OAM in the ML model-based UE positioning for providing ML model","secretary_remarks":"Revision of S2-2409966. Revised in parallel session to S2-2410980.","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":"revised","reservation_date":"2024-10-15 06:47:12","uploaded":"2024-10-20 10:31:11","revisionof":"S2-2409966","revisedto":"S2-2410980","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":537.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410672.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410673","title":"Update of UE data collection at LMF for AI\/ML based positioning model training","source":"Qualcomm Incorporated","contact":"Juan Zhang","contact-id":73274,"tdoctype":"CR","for":"Approval","abstract":"WITHDRAWN: Summary of change: Clarify the interaction between AMF and LMF in step 2. Clarify the procedure between LMF and UE in step 4.","secretary_remarks":"Revision of S2-2410135. WITHDRAWN","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":"withdrawn","reservation_date":"2024-10-15 06:47:12","uploaded":null,"revisionof":"S2-2410135","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":590.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410674","title":"Support AI\/ML model performance monitoring by LMF","source":"Xiaomi, Nokia, Ericsson","contact":"Jianning(Carry) LIU","contact-id":88587,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: To propose feature description for performance monitoring of AI\/ML Model by LMF, by reusing the data collection procedure.","secretary_remarks":"Revision of S2-2410204. Revised in parallel session to S2-2410981.","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":"revised","reservation_date":"2024-10-15 06:47:12","uploaded":"2024-10-20 10:31:11","revisionof":"S2-2410204","revisedto":"S2-2410981","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":595.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410674.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410675","title":"[DRAFT] LS on LMF-based AI\/ML Positioning","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"LS out","for":"Approval","abstract":"LS to RAN WG2 on UE positioning using LMF-based AIML model","secretary_remarks":"Revision of S2-2410213. Wrong document uploaded. Revised to S2-2411258.","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":"2024-10-15 06:47:12","uploaded":"2024-10-20 10:31:11","revisionof":"S2-2410213","revisedto":"S2-2411258","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG2","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410675.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410676","title":"Update the general inference procedure for vertical federated learning to resolve ENs","source":"OPPO, ZTE, Samsung, Nokia, Lenovo, Toyota, ICS, Huawei, 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.","secretary_remarks":"Revision of S2-2409733, merging S2-2410288, S2-2410128, S2-2410089 and S2-2409886. Revised in parallel session to S2-2410983.","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":"revised","reservation_date":"2024-10-15 06:47:12","uploaded":"2024-10-20 10:31:11","revisionof":"S2-2409733","revisedto":"S2-2410983","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1208.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410676.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410677","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 S2-2409928. Revised in parallel session to S2-2410993 (withdrawn). 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":23620,"status":"postponed","reservation_date":"2024-10-15 06:47:12","uploaded":"2024-10-20 10:31:11","revisionof":"S2-2409928","revisedto":"S2-2410993, S2-2411319","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1235.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410677.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410678","title":"[DRAFT] Reply LS on AIML data collection","source":"InterDigital Belgium. LLC","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"LS out","for":"Approval","abstract":"[Draft] Reply LS to RAN on AIML data collection","secretary_remarks":"Revision of S2-2410210. Revised in parallel session to S2-2410685.","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":"revised","reservation_date":"2024-10-15 06:47:12","uploaded":"2024-10-20 10:31:11","revisionof":"S2-2410210","revisedto":"S2-2410685","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"NR_AIML_air"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"TSG RAN","Cc":"TSG SA, SA WG3, SA WG5, RAN WG1, RAN WG2, RAN WG3, CT WG1","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410678.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410679","title":"Refinements for VFL feature","source":"Vivo, ICS, LG Electronics, InterDigital, ZTE, OPPO, Nokia","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 S2-2409678, merging S2-2410062 and S2-2409645. Revised in parallel session to S2-2411007.","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":"revised","reservation_date":"2024-10-15 06:47:12","uploaded":"2024-10-20 10:31:11","revisionof":"S2-2409678","revisedto":"S2-2411007","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1198.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410679.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410682","title":"Support AI\/ML model performance monitoring by NWDAF","source":"Xiaomi, Nokia, Ericsson","contact":"Jianning(Carry) LIU","contact-id":88587,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: To add feature description for AI\/ML Model performance monitoring in NWDAF side by referring to AI\/ML Model performance monitoring in LMF with additional differences.","secretary_remarks":"Revision of S2-2410205. Revised in parallel session to S2-2410995.","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":"revised","reservation_date":"2024-10-15 06:47:12","uploaded":"2024-10-20 10:31:11","revisionof":"S2-2410205","revisedto":"S2-2410995","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1253.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410682.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410683","title":"KI#2 Update of VFL training and inference","source":"Ericsson, Apple, ETRI, InterDigital","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 6.2H Added Preparation procedure Alignments including Sample and feature alignment is done in this phase","secretary_remarks":"Revision of S2-2410008, merging S2-2410145 and S2-2410077. 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":23950,"status":"postponed","reservation_date":"2024-10-15 06:47:12","uploaded":"2024-10-20 10:31:11","revisionof":"S2-2410008","revisedto":"S2-2411380, S2-2411556, S2-2411646, S2-2412037, S2-2412142","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1246.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410683.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410684","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","contact":"Morteza Kheirkhah","contact-id":105251,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 6.3.13 includes VFL related parameters 6.3.14 includes an indication that NEF now can be selected according to NEF's VFL capability 6.3.25 includes an indication that AF can be discovered based on the VFL capability 6.2.6.2 include some information regarding VFL in NF profile","secretary_remarks":"Revision of S2-2409646. Revised in parallel session to S2-2410996.","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":"revised","reservation_date":"2024-10-15 06:47:12","uploaded":"2024-10-20 10:31:11","revisionof":"S2-2409646","revisedto":"S2-2410996","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5630.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410684.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410685","title":"[DRAFT] Reply LS on AIML data collection","source":"InterDigital Belgium. LLC","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"LS out","for":"Approval","abstract":"[Draft] Reply LS to RAN on AIML data collection","secretary_remarks":"Revision of S2-2410678. Revised in parallel session to S2-2410977.","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":"revised","reservation_date":"2024-10-15 06:47:12","uploaded":"2024-10-20 10:31:11","revisionof":"S2-2410678","revisedto":"S2-2410977","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"NR_AIML_air"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"TSG RAN","Cc":"TSG SA, SA WG3, SA WG5, RAN WG1, RAN WG2, RAN WG3, CT WG1","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410685.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410975","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 S2-2410666. 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":23780,"status":"postponed","reservation_date":"2024-10-18 02:14:05","uploaded":"2024-10-20 10:31:14","revisionof":"S2-2410666","revisedto":"S2-2411616","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1132.0,"crrevision":5.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410975.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410976","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","contact":"DongJin Lee","contact-id":65921,"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 S2-2410664. Agreed in parallel session. Block approved. Revised at S2-166 in S2-2411335","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":"revised","reservation_date":"2024-10-18 02:14:05","uploaded":"2024-10-20 10:31:14","revisionof":"S2-2410664","revisedto":"S2-2411335, S2-2411432, S2-2411762","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1104.0,"crrevision":8.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410976.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410977","title":"[DRAFT] Reply LS on AIML data collection","source":"InterDigital Belgium. LLC","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"LS out","for":"Approval","abstract":"[Draft] Reply LS to RAN on AIML data collection","secretary_remarks":"Revision of S2-2410685. Revised in parallel session to S2-2410998.","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":"revised","reservation_date":"2024-10-18 02:14:06","uploaded":"2024-10-20 10:31:14","revisionof":"S2-2410685","revisedto":"S2-2410998","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"NR_AIML_air"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"TSG RAN","Cc":"TSG SA, SA WG3, SA WG5, RAN WG1, RAN WG2, RAN WG3, CT WG1","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410977.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410978","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 S2-2410670. 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":23340,"status":"agreed","reservation_date":"2024-10-18 02:14:36","uploaded":"2024-10-20 10:31:14","revisionof":"S2-2410670","revisedto":"S2-2411366, S2-2411548, S2-2411580, S2-2411783, S2-2411972, S2-2412004, S2-2412015, S2-2412078","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":574.0,"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_165_Hyderabad_2024-10\/Docs\/S2-2410978.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410979","title":"Update on Data Collection by LMF procedure","source":"Lenovo, Qualcomm, Huawei","contact":"Dimitrios Karampatsis","contact-id":70692,"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 S2-2410671, merging S2-2410135. Revised to S2-2411256.","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":"revised","reservation_date":"2024-10-18 02:14:43","uploaded":"2024-10-20 10:31:14","revisionof":"S2-2410671","revisedto":"S2-2411256","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":584.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410979.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410980","title":"ML Model based UE positioning support","source":"NTT DOCOMO, Ericsson","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding ML model-based approach as an option for UE positioning Updating the capabilities of the LMF Clarifying the role of NWDAF in the ML model-based UE positioning for providing ML model","secretary_remarks":"Revision of S2-2410672. 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":23410,"status":"agreed","reservation_date":"2024-10-18 02:14:49","uploaded":"2024-10-20 10:31:14","revisionof":"S2-2410672","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":537.0,"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_165_Hyderabad_2024-10\/Docs\/S2-2410980.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410981","title":"Support AI\/ML model performance monitoring by LMF","source":"Xiaomi, Nokia, Ericsson","contact":"Jianning(Carry) LIU","contact-id":88587,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: To propose feature description for performance monitoring of AI\/ML Model by LMF, by reusing the data collection procedure by LMF.","secretary_remarks":"Revision of S2-2410674. 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":23460,"status":"agreed","reservation_date":"2024-10-18 02:14:51","uploaded":"2024-10-20 10:31:14","revisionof":"S2-2410674","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":595.0,"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_165_Hyderabad_2024-10\/Docs\/S2-2410981.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410982","title":"KI#1 - Addressing Editor s Note: Procedure for Data Collection for AI\/ML based positioning from NG-RAN","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"This contribution proposes to resolve EN on data collection from NG-RAN.","secretary_remarks":"Revision of S2-2410668. Revised to S2-2411257.","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":23500,"status":"revised","reservation_date":"2024-10-18 02:14:52","uploaded":"2024-10-20 10:31:14","revisionof":"S2-2410668","revisedto":"S2-2411257","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":597.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410982.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410983","title":"Update the general inference procedure for vertical federated learning to resolve ENs","source":"OPPO, ZTE, Samsung, Nokia, Lenovo, Toyota, ICS, Huawei, 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.","secretary_remarks":"Revision of S2-2410676. Revised in parallel session to S2-2411192.","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":"revised","reservation_date":"2024-10-18 02:14:53","uploaded":"2024-10-20 10:31:14","revisionof":"S2-2410676","revisedto":"S2-2411192","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1208.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410983.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410984","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","secretary_remarks":"Revision of S2-2410665. Revised in parallel session to S2-2411183.","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":"revised","reservation_date":"2024-10-18 02:14:54","uploaded":"2024-10-20 10:31:14","revisionof":"S2-2410665","revisedto":"S2-2411183","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1134.0,"crrevision":7.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410984.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410993","title":"KI#2: VFL procedures with AF as server","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"WITHDRAWN: Summary of change: VFL procedures 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 Introduce an 'AF VFL service ID', store it in the NRF, and use it for the selection of NWDAFs as VFL clients and in training and inference request towards NWDAFs as VFL clients. An untrusted AF as VFL server may supply 'Vendor ID' and 'AF VFL service ID' as NWDAF selection criteria, but NEF needs to authorizes the use. The NEF supports sample alignment by proxying related messages and modifying the identifiers\/description of samples between an external and internal format where required (e.g. Transforming GPSIs into SUPIs, and modifying description of an area. For UEs as samples, the AF can reuse the Nnef_MemberUESelectionAssistance service to check the availability of UEs. The AF as VFL server may be triggered by internal logic or the subscription to an event received via the Naf_EventExposure service from an NWDAF to perform a VFL inference procedure Document call flows when AF is VFL server separately from call flows when NWDAF is VFL server.","secretary_remarks":"Revision of S2-2410677. Withdrawn 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":23630,"status":"withdrawn","reservation_date":"2024-10-18 02:14:55","uploaded":"2024-10-20 10:31:14","revisionof":"S2-2410677","revisedto":"S2-2411372","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1235.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410993.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410994","title":"High-level description for Vertical Federated Learning when AF is as Server.","source":"KDDI, Ericsson, OPPO, ETRI, ICS","contact":"Sohei Itahara","contact-id":101258,"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 S2-2410667. Revised in parallel session to S2-2411195.","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":"revised","reservation_date":"2024-10-18 02:14:55","uploaded":"2024-10-20 10:31:14","revisionof":"S2-2410667","revisedto":"S2-2411195","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1161.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410994.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410995","title":"Support AI\/ML model performance monitoring by NWDAF","source":"Xiaomi, Nokia, Ericsson","contact":"Jianning(Carry) LIU","contact-id":88587,"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 S2-2410682. This CR was agreed. Revised at S2-166 in S2-2412053","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":"revised","reservation_date":"2024-10-18 02:14:55","uploaded":"2024-10-20 10:31:14","revisionof":"S2-2410682","revisedto":"S2-2411788, S2-2412053","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1253.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410995.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410996","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":"Morteza Kheirkhah","contact-id":105251,"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 S2-2410684. 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":24030,"status":"agreed","reservation_date":"2024-10-18 02:14:55","uploaded":"2024-10-20 10:31:14","revisionof":"S2-2410684","revisedto":"S2-2411384","release":"Rel-19","crspec":"23.501","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5630.0,"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_165_Hyderabad_2024-10\/Docs\/S2-2410996.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410997","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 S2-2410662. Agreed in parallel session. Block approved. Revised at S2-166 in S2-2411549","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":"revised","reservation_date":"2024-10-18 02:14:55","uploaded":"2024-10-20 10:31:14","revisionof":"S2-2410662","revisedto":"S2-2411549, S2-2411563","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1196.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410997.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2410998","title":"[DRAFT] Reply LS on AIML data collection","source":"InterDigital Belgium. LLC","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"LS out","for":"Approval","abstract":"[Draft] Reply LS to RAN on AIML data collection","secretary_remarks":"Revision of S2-2410977. Revised in parallel session to S2-2411191.","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":"revised","reservation_date":"2024-10-18 02:14:55","uploaded":"2024-10-20 10:31:14","revisionof":"S2-2410977","revisedto":"S2-2411191","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"NR_AIML_air"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"TSG RAN","Cc":"TSG SA, SA WG3, SA WG5, RAN WG1, RAN WG2, RAN WG3, CT WG1","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2410998.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411007","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 S2-2410679. Revised in parallel session to S2-2411193.","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":"revised","reservation_date":"2024-10-18 02:14:56","uploaded":"2024-10-20 10:31:14","revisionof":"S2-2410679","revisedto":"S2-2411193","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1198.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2411007.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411183","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","secretary_remarks":"Revision of S2-2410984. Revised in parallel session to S2-2411194.","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":"revised","reservation_date":"2024-10-18 02:23:11","uploaded":"2024-10-20 10:31:16","revisionof":"S2-2410984","revisedto":"S2-2411194","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1134.0,"crrevision":8.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2411183.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411191","title":"Reply LS on AIML data collection","source":"SA WG2","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"LS out","for":"Approval","abstract":"Response to S2-2409600 (RP-242389). To: RAN WG2, RAN WG3. CC: TSG SA, TSG RAN, SA WG3, SA WG5","secretary_remarks":"Revision of S2-2410998. 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":24150,"status":"approved","reservation_date":"2024-10-18 02:23:11","uploaded":"2024-10-20 10:31:16","revisionof":"S2-2410998","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"NR_AIML_air"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"S2-2409600","lsto":"RAN WG2, RAN WG3","Cc":"TSG SA, TSG RAN, SA WG3, SA WG5","lsoriginalls":"","lsreply":"R2-2410505, R2-2411116, R2-2411151, R2-2411152","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2411191.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411192","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.","secretary_remarks":"Revision of S2-2410983. Agreed in parallel session. Block approved. Revised at S2-166 in S2-2411828","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":"revised","reservation_date":"2024-10-18 02:23:11","uploaded":"2024-10-20 10:31:16","revisionof":"S2-2410983","revisedto":"S2-2411381, S2-2411645, S2-2411812, S2-2411828, S2-2411941, S2-2412050","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1208.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2411192.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411193","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 S2-2411007. Agreed in parallel session. Block approved. Revised at S2-166 in S2-2411554","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":"revised","reservation_date":"2024-10-18 02:23:11","uploaded":"2024-10-20 10:31:16","revisionof":"S2-2411007","revisedto":"S2-2411383, S2-2411554, S2-2411641, S2-2411728, S2-2411810, S2-2411832, S2-2412036, S2-2412207","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1198.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2411193.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411194","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","secretary_remarks":"Revision of S2-2411183. Agreed in parallel session. Block approved. Revsed at S2-166 in S2-2411626","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":"revised","reservation_date":"2024-10-18 02:23:11","uploaded":"2024-10-20 10:31:16","revisionof":"S2-2411183","revisedto":"S2-2411342, S2-2411346, S2-2411382, S2-2411555, S2-2411626, S2-2411644, S2-2411811, S2-2412039","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1134.0,"crrevision":9.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2411194.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411195","title":"High-level description for Vertical Federated Learning when AF is as Server.","source":"KDDI, Ericsson, OPPO, ETRI, ICS","contact":"Sohei Itahara","contact-id":101258,"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 S2-2410994. Agreed in parallel session. Block approved. Revised at S2-166 in S2-2411560","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":"revised","reservation_date":"2024-10-18 02:23:11","uploaded":"2024-10-20 10:31:16","revisionof":"S2-2410994","revisedto":"S2-2411560, S2-2411625, S2-2411809","release":"Rel-19","crspec":"23.288","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1161.0,"crrevision":4.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2411195.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411256","title":"Update on Data Collection by LMF procedure","source":"Lenovo, Qualcomm, Huawei","contact":"Dimitrios Karampatsis","contact-id":70692,"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 S2-2410979. This CR was agreed. Revised at S2-166 in S2-2411879","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":"revised","reservation_date":"2024-10-20 09:23:01","uploaded":"2024-10-20 10:31:16","revisionof":"S2-2410979","revisedto":"S2-2411367, S2-2411547, S2-2411559, S2-2411571, S2-2411588, S2-2411879","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":584.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2411256.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411257","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":"Summary of changes: A new clause for Data collection from NG-RAN is added, using Network Assisted Positioning Procedure. The LMF uses the same procedure to retrieve and enforce user consent as defined in Rel-18 in TS 23.288, except that NWDAF is not the consumer but the LMF. The LMF triggers data collection based on internal trigger, and requests AMF(s) to provide the list of SUPIs in an area of interest. When the training entity is LMF, the performance monitoring is performed by LMF.","secretary_remarks":"Revision of S2-2410982. This CR was agreed. Revised at S2-166 in S2-2411638","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":23510,"status":"revised","reservation_date":"2024-10-20 09:23:01","uploaded":"2024-10-23 09:11:14","revisionof":"S2-2410982","revisedto":"S2-2411368, S2-2411569, S2-2411619, S2-2411638, S2-2411697","release":"Rel-19","crspec":"23.273","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":597.0,"crrevision":4.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2411257.zip","group":"S2","meeting":"S2-165","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":"S2-2411258","title":"[DRAFT] LS on LMF-based AI\/ML Positioning","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"LS out","for":"Approval","abstract":"LS to RAN WG2 on UE positioning using LMF-based AIML model","secretary_remarks":"Revision of S2-2410675. Wrong document uploaded. Revised to S2-2411264.","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":"revised","reservation_date":"2024-10-20 09:23:02","uploaded":"2024-10-20 10:31:16","revisionof":"S2-2410675","revisedto":"S2-2411264","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG2","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2411258.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2411264","title":"[DRAFT] LS on LMF-based AI\/ML Positioning","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"LS out","for":"Approval","abstract":"LS to RAN WG2 on UE positioning using LMF-based AIML model","secretary_remarks":"Revision of S2-2411258. 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":24330,"status":"postponed","reservation_date":"2024-10-20 09:23:06","uploaded":"2024-10-20 10:31:16","revisionof":"S2-2411258","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG2","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_165_Hyderabad_2024-10\/Docs\/S2-2411264.zip","group":"S2","meeting":"S2-165","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0}]