[{"name":"S2-2407392","title":"LS from ITU-T SG13: LS on consent of draft new Recommendation ITU-T Y.3186 (ex Y.IMT2020-DJLML) 'Requirements and framework for distributed joint learning to enable machine learning in future networks including IMT-2020'","source":"ITU-T SG13","contact":"Marco Carugi","contact-id":31658,"tdoctype":"LS in","for":"Information","abstract":"This liaison statement informs ITU-T SG2, ITU-T SG11, SA WG1 and SA WG2 about the consent of new draft Recommendation ITU-T Y.3186 (formerly Y.IMT2020-DJLML) 'Requirements and framework for distributed joint learning to enable machine learning in future networks including IMT-2020'.","secretary_remarks":"Revision of postponed S2-2405854 from S2#163","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28450,"status":"available","reservation_date":"2024-06-26 08:28:38","uploaded":"2024-06-27 13:54:03","revisionof":"S2-2405854","revisedto":"","release":"","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"ITU-T SG2, SG11","Cc":"SA WG1, SA WG2","lsoriginalls":"SG13-LS170","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407392.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407414","title":"LS from RAN WG1: Reply LS on data collection to enable ML model training and inference in 5GC for Direct AI\/ML based positioning","source":"RAN WG1","contact":"Yufei Blankenship","contact-id":59257,"tdoctype":"LS in","for":"Action","abstract":"RAN WG1 thanks SA WG2 for the LS on data collection to enable ML model training and inference in 5GC for direct AI\/ML based positioning. RAN WG1 would like to provide the responses to the following questions in SA WG2 LS (S2-2405833) based on RAN WG1 progress up to RAN WG1#117 meeting. {. . .}. Furthermore, RAN WG1 would like to notify SA WG2 of the following: (a) RAN WG1 is still working on further details of training data collection and model inference of Case 3b and 2b. RAN WG1 may provide additional input to SA WG2 in the future. (b) For the related RAN work item (NR_AIML_air), Rel-19 WID (RP-240774) has assigned Case 3b 1st priority, and Case 2b 2nd priority. (c) Note: in RAN WG1 agreement, 'AI\/ML based positioning' by itself refers to all positioning cases, including Case 3b and 2b. (d) Note: the working assumptions and agreements above are based on RAN WG1 understanding for RAN work item (NR_AIML_air). Action: RAN WG1 respectfully asks SA WG2 to take the above into account in their future work.","secretary_remarks":"Revision of postponed S2-2406872 from S2#163","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28110,"status":"available","reservation_date":"2024-06-26 08:28:39","uploaded":"2024-06-27 13:54:03","revisionof":"S2-2406872","revisedto":"","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_164_Maastricht_2024-08\/Docs\/S2-2407414.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407488","title":"KI#1 - LMF enhancements for UE positioning using a ML model","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: LMF functional description is extended to indicate that UE positioning may be based on ML model. LMF retrieves user consent for data collection for the purpose of model training from UDM. The LMF collects channel measurements from the UE using a N1 container that is sent transparently via AMF. The N1 container transfer a LCS Periodic-Triggered Invoke Request\/Response to request channel measurements and location estimates. The procedure for data collection is applicable for training an ML Model in LMF, however any differences with the procedure for data collection when the training of the ML Model is not in LMF should be minimized.","secretary_remarks":"Revised in parallel session to S2-2408891.","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27500,"status":"revised","reservation_date":"2024-08-07 16:39:34","uploaded":"2024-08-09 21:26:45","revisionof":"","revisedto":"S2-2408891","release":"Rel-19","crspec":"23.273","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":532.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407488.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":true,"ran_affected":false,"cn_affected":true,"clauses_affected":"2, 3.2, 4.2b, 4.2.1, 4.3.5,  4.4.10, 4.4.x (new), 5.x(new), 6.x.1(new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407490","title":"KI#4 - Updates in input\/output for signalling storm analytics report","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Changes are proposed in the tables for input and output data and the table for example actions. Comparing with the conclusions in the TR, only the following changes are included, as the more updates in the tables are FFS.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":29030,"status":"available","reservation_date":"2024-08-07 16:39:36","uploaded":"2024-08-09 21:26:45","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1095.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407490.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.X (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407491","title":"KI#2 VFL training and inference","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: To cover P#2.1, new definitions for VFL Server, VFL Client and VFL procedure are listed in clause 3.1. A VLF process is replaced by a VFL procedure, some additional definitions are listed. To cover P#2.2, NWDAF discovery and selection clause is extended to include the new information that NWDAF provides in the NRF profile or NEF (when the AF is untrusted). It is poposed to reuse the existing FL capability information as is, and add a new optional IE for FL type set to HFL or VFL, when the FL type is not present the FL method is HFL. Some additional IE are also included in the NF profile thay includes the Interoperability information, listing the type of VFL supported, and related information with the type of VFL supported, and the convergence reports. To cover P#2.3, the procedure for preparation for VFL allows the FL Server to trigger sample alignment, the final selection of the samples to us is upto the FL Server. The Feature IDs may be registered to the NRF or locally available at the Server. To cover P#2.4, the general procedure for VFL is added To cover P#2.5, the procedure for distributed inference is added.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28460,"status":"available","reservation_date":"2024-08-07 16:39:37","uploaded":"2024-08-09 21:26:45","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1096.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407491.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"3.1, 3.2, 5.2, 5.3, 5.4 (new), 5.4.1 (new), 5.4.2 (new), 6.2C.1, 6.2F.2. 6.2.x (new), 6.2x.1 (new), 6.2x.2 (new), 6.2x.2.1 (new), 6.2x.2.2 (new), 6.2x.2.2 (new), 6.2x.2.3 (new), 6.2x.2.4 (new), 6.2x.2.4.1 (new), 6.2x.2.4.2 (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407492","title":"QoS and policy assistance information analytic","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Includes output and procedures including the new Anlaytics ID for an application and for a UE","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27960,"status":"available","reservation_date":"2024-08-07 16:39:38","uploaded":"2024-08-09 21:26:45","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1097.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407492.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"New clause 6.x","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407493","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: Implementing the use of new Analytics ID","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28860,"status":"available","reservation_date":"2024-08-07 16:39:39","uploaded":"2024-08-09 21:26:45","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.503","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1303.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407493.zip","group":"S2","meeting":"S2-164","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":"S2-2407525","title":"Support of AI\/ML based positioning","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the functional descriptions on support of AI\/ML based positioning by the LMF.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28120,"status":"available","reservation_date":"2024-07-18 06:56:32","uploaded":"2024-08-09 10:35:48","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":533.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407525.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"4.1, 4.2b, 4.3.8, 4.4.13, 5.x (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407526","title":"AI\/ML based positioning functional description","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add general description and NWDAF discovery and selection for ML model training and provisioning by MTLF for AI\/ML based positioning.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28130,"status":"available","reservation_date":"2024-07-18 06:56:33","uploaded":"2024-08-09 10:35:48","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1099.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407526.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.1, 5.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407527","title":"Model training and provisioning for AI\/ML based positioning","source":"CATT, China Unicom, China Mobile, ZTE","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the procedures that NWDAF containing MTLF trains and provisions ML model for AI\/ML based positioning.","secretary_remarks":"Revised in parallel session to S2-2408884.","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27390,"status":"revised","reservation_date":"2024-07-18 06:56:33","uploaded":"2024-08-09 10:35:48","revisionof":"","revisedto":"S2-2408884","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1100.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407527.zip","group":"S2","meeting":"S2-164","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)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407528","title":"[DRAFT] LS on model provisioning by OAM for AI\/ML based positioning in 5GC","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 AI\/ML based positioning in 5GC.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28070,"status":"available","reservation_date":"2024-07-18 06:56:34","uploaded":"2024-08-09 10:35:48","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG5, SA WG3","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407528.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407529","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":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27970,"status":"available","reservation_date":"2024-07-18 06:56:34","uploaded":"2024-08-09 10:36:23","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1101.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407529.zip","group":"S2","meeting":"S2-164","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":"S2-2407530","title":"Model provisioning for QoS policy assistance information analytics","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add QoS policy assistance information analytics specific parameters to the input parameters for ML model provisioning.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28870,"status":"available","reservation_date":"2024-07-18 06:56:35","uploaded":"2024-08-09 10:36:23","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1102.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407530.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2A.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407531","title":"QoS policy assistance information analytics \/ ML model accuracy monitoring","source":"CATT, China Mobile, OPPO","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add descriptions on accuracy monitoring for QoS policy assistance information analytics and ML model.","secretary_remarks":"Confirm Spec version used - CR states 19.0.0!","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28880,"status":"available","reservation_date":"2024-07-18 06:56:35","uploaded":"2024-08-09 10:36:23","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1103.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407531.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407532","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":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28890,"status":"available","reservation_date":"2024-07-18 10:41:07","uploaded":"2024-08-09 10:36:23","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.503","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1311.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407532.zip","group":"S2","meeting":"S2-164","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":"S2-2407533","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":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":29040,"status":"available","reservation_date":"2024-07-18 17:16:38","uploaded":"2024-08-09 23:24:49","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":4839.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407533.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"4.17.9","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407534","title":"New analytics ID to support Signalling storm Mitigation and Prevention caused by NFs","source":"SK Telecom, AT&T, China Mobile, ETRI, KDDI, KPN N.V., LG Uplus, OPPO, Rakuten Mobile, Samsung, vivo, ZTE","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":"Revised to S2-2408408","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27800,"status":"revised","reservation_date":"2024-07-18 23:26:35","uploaded":"2024-08-09 11:52:51","revisionof":"","revisedto":"S2-2408408","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1104.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407534.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407543","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.","secretary_remarks":"Postponed in parallel session","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27450,"status":"postponed","reservation_date":"2024-07-19 01:33:42","uploaded":"2024-08-09 09:37:42","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":535.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407543.zip","group":"S2","meeting":"S2-164","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":"S2-2407544","title":"Support of VFL related-features","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add high-level description of VFL features.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28470,"status":"available","reservation_date":"2024-07-19 01:33:43","uploaded":"2024-08-01 01:25:24","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1107.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407544.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"4.1.5","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407545","title":"VFL terminologies and abbreviations","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add VFL, VFL server and VFL client definitions into TS. Add VFL abbreviation in TS.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27920,"status":"available","reservation_date":"2024-07-19 01:33:43","uploaded":"2024-08-01 01:24:39","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1108.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407545.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"3.1, 3.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407556","title":"LMF event exposure to support data collection for AI\/ML based positioning","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Define LMF service that is used by the NWDAF containing MTLF to collect data from the LMF to train ML model(s) for AI\/ML based positioning.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28140,"status":"available","reservation_date":"2024-07-24 00:59:15","uploaded":"2024-08-09 10:35:48","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":536.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407556.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"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":"S2-2407557","title":"NWDAF service enhancements for QoS policy assistance information analytics and ML model provisioning","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Modify NWDAF services to support QoS policy assistance information analytics and ML model provisioning.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28900,"status":"available","reservation_date":"2024-07-24 00:59:19","uploaded":"2024-08-09 10:36:23","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1109.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407557.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"7.2.2, 7.3.2, 7.5.2, 7.6.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407558","title":"Analytics exposure for 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.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28910,"status":"available","reservation_date":"2024-07-24 00:59:21","uploaded":"2024-08-09 10:36:23","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1110.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407558.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.1.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407559","title":"NWDAF service enhancements for AI\/ML based positioning","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add enhancements on NWDAF service operations for provisioning ML model for AI\/ML based positioning.","secretary_remarks":"Confirm Spec version used - CR states 19.0.0!","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28150,"status":"available","reservation_date":"2024-07-24 00:59:48","uploaded":"2024-08-09 10:35:48","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1111.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407559.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407560","title":"Horizontal Federated Learning to train ML model for AI\/ML based positioning","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Modify the (Horizontal) Federated Learning procedure to support model training for AI\/ML based Positioning.","secretary_remarks":"Confirm Spec version used - CR states 19.0.0!","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28160,"status":"available","reservation_date":"2024-07-24 00:59:49","uploaded":"2024-08-09 10:35:48","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1112.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407560.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407561","title":"NWDAF discovery and selection for AI\/ML based positioning","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the capability of provisioning trained ML model for AI\/ML based positioning as one factor for NWDAF discovery and selection.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28170,"status":"available","reservation_date":"2024-07-24 00:59:50","uploaded":"2024-08-09 10:35:48","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5421.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407561.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.3.13, 6.2.6.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407562","title":"NWDAF discovery for AI\/ML based positioning via NRF","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Modify the NRF services to support discovering NWDAF containing MTLF with the capability of provisioning trained ML model for AI\/ML based positioning.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28180,"status":"available","reservation_date":"2024-07-24 00:59:51","uploaded":"2024-08-09 10:35:48","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":4842.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407562.zip","group":"S2","meeting":"S2-164","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":"S2-2407566","title":"KI1: Support of training LMF-side models at MTLF","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: It is proposed to udpate the existing clauses describing ML model provisioning, namely 6.2C.A.1, 6.2C.A.2, 6.2C.A.3 and include description of the ML model provisioning procedure when the NWDAF service consumer is an LMF. To support ML model training from LMF side models it is proposed that when the LMF requests an ML model from an NWDAF contaiing MTLF the LMF includes the following - An AI\/ML positioning indication (i.e. ML model for AI\/ML positioning is requested) - ML Model Interoperability Information as per current ML model provisioning procedure - ML Model Filter Information including service area, AI\/ML positioning method.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28190,"status":"available","reservation_date":"2024-07-26 07:56:35","uploaded":"2024-08-09 07:45:25","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1113.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407566.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2C.A.1, 6.2C.A.2, 6.2C.A.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407567","title":"KI2: Vertical Federated Learning Registration, Discovery and Sample Alignment where FL Server is NWDAF","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding support of registration and discovery for vertical federated learning in a new sub-clause under clause 6.2C.2.1. For selecting candidate FL clients a new VFL interoperability information field is proposed to be included to allow the FL server to select compatible FL clients.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28480,"status":"available","reservation_date":"2024-07-26 07:59:59","uploaded":"2024-08-09 07:45:25","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1114.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407567.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2C.1, 6.2C.2.1, 6.2C.2.1.x (new), 6.2C.2.1.y (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407568","title":"KI2: Vertical Federated Learning Registration, Discovery and Sample Alignmnet where FL Server is AF","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding support of registration and discovery for vertical federated learning where FL Server is an AF in a new sub-clause under clause 6.2C.2.1. For selecting candidate FL clients a new VFL interoperability information field is proposed to be included to allow the FL server to select compatible FL clients. The procedure also includes an optional functionality at the NEF to perform sample alignment based on the Data Set requirements (i.e. Features\/Samples) available at the AF acting as FL server","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28490,"status":"available","reservation_date":"2024-07-26 08:03:37","uploaded":"2024-08-09 07:45:25","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1115.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407568.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2C.2.1.y (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407569","title":"KI2: Vertical Federated Learning Procedure where FL Server is NWDAF","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding descriptions for vertical federated learning procedure where the FL Server is an NWDAF in a new sub-clause under clause 6.2C.2.2.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28360,"status":"available","reservation_date":"2024-07-26 08:06:15","uploaded":"2024-08-09 07:45:25","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1116.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407569.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2C.2.2, 6.2C.2.2.1 (new), 6.2C.2.2.2 (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407570","title":"KI2: Vertical Federated Learning Procedure where FL Server is AF","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding descriptions for vertical federated learning procedure where the FL Server is an AF in a new sub-clause under clause 6.2C.2.2.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28500,"status":"available","reservation_date":"2024-07-26 08:08:24","uploaded":"2024-08-09 07:45:25","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1117.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407570.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2C.2.2.z (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407572","title":"[DRAFT] LS on Data collection for training LMF-side models","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"LS out","for":"Approval","abstract":"LS on Data collection for training LMF-side models","secretary_remarks":"Revised in parallel session to S2-2408883 (withdrawn). Noted in parallel session","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27370,"status":"noted","reservation_date":"2024-07-26 08:15:45","uploaded":"2024-08-09 07:45:25","revisionof":"","revisedto":"S2-2408883","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"TSG RAN, RAN WG1","Cc":"RAN WG2","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407572.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407573","title":"KI3: NWDAF-assisted policy control","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: It is proposed the NWDAF to derive new analytics (QoS and Policy Assistance Analytics) in order to satisfy the conclusions of Key Issue 3. The consumer (i.e. PCF) request such analytics by included a candidate list of QoS parameters and an expected QoE target. The analytics provided by the NWDAF provides the QoS parameter from the list of candidate QoS parameter requested by a consumer (i.e. PCF) that meets (or has the least variance) the expected QoE target.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27990,"status":"available","reservation_date":"2024-07-26 08:18:00","uploaded":"2024-08-09 07:45:25","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1118.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407573.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.x (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407574","title":"KI2: Support of distributed inference for a model trained using VFL","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding descriptions for vertical federated learning inference procedure in a new sub-clause within clause 6.2C.2 that describes the vertical federated learning procedure where the FL server is the NWDAF and FL clients may be an NWDAF or AF. The changes proposed assume that the FL server and clients that were used during training are the same functions that are used for inference. Procedures are provided where the FL Server is NWDAF or AF.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28510,"status":"available","reservation_date":"2024-07-26 08:20:30","uploaded":"2024-08-09 07:45:25","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1119.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407574.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2C.2.x (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407575","title":"KI4: Abnormal NF Signalling Storm Detection Analytics","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: It is proposed the NWDAF to derive new analytics (signalling storm detection) in order to satisfy the conclusions of Key Issue 4. The consumer of such analytics includes as analytic filters the following: - Target NF (which may be impacted due to signalling storm) - (Optionally) Source NF (the NF originating the signaling) - (Optionally) A scenario identifier: An identifier indicating the use case for abnormal signalling storm (e.g. SM signalling storm detection). Input data for determining signalling storm are based on Solutions 35 and 39 of TR 23.700-84","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":29050,"status":"available","reservation_date":"2024-07-26 08:22:46","uploaded":"2024-08-09 07:45:25","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1120.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407575.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.x (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407576","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":"SA WG2 has discussed the possibility of LMF obtains a trained ML Model from OAM for AI\/ML based positioning.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28080,"status":"available","reservation_date":"2024-07-26 08:30:20","uploaded":"2024-08-01 01:24:39","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG5","Cc":"SA WG3","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407576.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407587","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":"LS out to SA WG5 to clarify ML model provisioning by OAM to the LMF for UE positioning","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28090,"status":"available","reservation_date":"2024-07-31 08:11:57","uploaded":"2024-08-06 12:21:56","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_164_Maastricht_2024-08\/Docs\/S2-2407587.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407588","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":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28200,"status":"available","reservation_date":"2024-07-31 08:31:24","uploaded":"2024-08-06 12:21:57","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":537.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407588.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407589","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":"Revised in parallel session to S2-2409091.","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27710,"status":"revised","reservation_date":"2024-07-31 08:36:31","uploaded":"2024-08-06 12:22:31","revisionof":"","revisedto":"S2-2409091","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1121.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407589.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407590","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":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28920,"status":"available","reservation_date":"2024-07-31 08:42:27","uploaded":"2024-08-06 12:22:31","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":4849.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407590.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407591","title":"NF Signalling Storm Analytics","source":"NTT DOCOMO","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding a new sub-clause for NF Signalling Storm Analytics ID","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28030,"status":"available","reservation_date":"2024-07-31 08:45:55","uploaded":"2024-08-06 12:22:53","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1122.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407591.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407637","title":"Sample and Feature alignment procedure for Vertical Federated Learning with AF as the VFL server","source":"OPPO, Futurewei, LG Electronics, Tencent, Sony, ICS","contact":"Jingran Chen","contact-id":100820,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: New clause 6.2X is added. The sub-clause 6.2X.1 and 6.2X.2 are added to specify the procedure for sample and feature alignment with AF as the VFL server.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28520,"status":"available","reservation_date":"2024-06-08 06:55:58","uploaded":"2024-08-09 10:04:52","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1124.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407637.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407638","title":"General training procedure for vertical federated learning between AF and NWDAFs with AF as the VFL server","source":"OPPO, ZTE, ETRI, China Telecom, CMCC, Tencent, Samsung, ICS,vivo","contact":"Jingran Chen","contact-id":100820,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: New clause 6.2X is added. The sub-clause 6.2X.1 and 6.2X.2 are added to specify the general training procedure for vertical federated learning between AF and NWDAFs with AF as the VFL server.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28370,"status":"available","reservation_date":"2024-06-08 07:00:40","uploaded":"2024-08-09 10:04:52","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1125.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407638.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407639","title":"General inference procedure for vertical federated learning between AF and NWDAFs with AF as the VFL server","source":"OPPO, ETRI, China Telecom, Tencent, ICS","contact":"Jingran Chen","contact-id":100820,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: New clause 6.2X is added. The sub-clause 6.2X.1 and 6.2X.2 are added to specify the general inference procedure for vertical federated learning between AF and NWDAFs with AF as the VFL server.","secretary_remarks":"Revised in parallel session to S2-2408887.","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27590,"status":"revised","reservation_date":"2024-06-08 07:03:44","uploaded":"2024-08-09 10:04:52","revisionof":"","revisedto":"S2-2408887","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1126.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407639.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407640","title":"Discussion on the VFL sample and feature alignment","source":"OPPO","contact":"Jingran Chen","contact-id":100820,"tdoctype":"discussion","for":"Information","abstract":"Presentation: Discussion on the VFL sample and feature alignment open issue and propose some way forward.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28410,"status":"available","reservation_date":"2024-06-08 07:07:06","uploaded":"2024-08-09 10:04:52","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407640.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407647","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":"Postponed in parallel session","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27740,"status":"postponed","reservation_date":"2024-06-08 15:34:06","uploaded":"2024-08-09 16:38:21","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1128.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407647.zip","group":"S2","meeting":"S2-164","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":"S2-2407691","title":"23.288 : QoS\/Policy Assistance Information Analytics","source":"ETRI","contact":"ChangSik Lee","contact-id":95981,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: New analytics for NWDAF to provide assistance information to assist Policy control and QoS enhancement. Modify Contents of Analytics Exposure. Add descriptions on analytics accuracy monitoring for QoS policy assistance information analytics. Modify NWDAF service operations to support QoS policy assistance information analytics.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28000,"status":"available","reservation_date":"2024-07-08 06:11:18","uploaded":"2024-08-09 08:33:23","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1129.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407691.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.X, 6.1.3, 6.2D.2, 6.2D.3, 7.2.2, 7.3.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407693","title":"23.501 : NWDAF capability of QoS\/Policy Assistance for NWDAF discovery and selection.","source":"ETRI","contact":"ChangSik Lee","contact-id":95981,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add NWDAF capability of QoS\/Policy Assistance in an NWDAF profile maintained in an NRF for NWDAF discovery and selection.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28930,"status":"available","reservation_date":"2024-07-08 07:25:51","uploaded":"2024-08-09 08:33:37","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5442.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407693.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.6.2, 6.3.13","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407719","title":"23.502 : NRF service enhancements for NWDAF with the capability of QoS\/Policy Assistance","source":"ETRI","contact":"ChangSik Lee","contact-id":95981,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Modify the NRF services to support registering NWDAF with the capability of QoS\/Policy Assistance in the NRF. Modify the NRF services to support discovering NWDAF with the capability of QoS\/Policy Assistance.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28940,"status":"available","reservation_date":"2024-07-08 07:31:40","uploaded":"2024-08-09 08:33:47","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":4868.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407719.zip","group":"S2","meeting":"S2-164","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":"S2-2407753","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":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28950,"status":"available","reservation_date":"2024-07-08 15:48:40","uploaded":"2024-08-09 16:43:56","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1131.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407753.zip","group":"S2","meeting":"S2-164","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":"S2-2407754","title":"Support of QoS and policy assistance analytics","source":"Samsung, vivo, OPPO, SK Telecom, China Mobile, Tencent, Tencent Cloud, InterDigital Inc","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce a new NWDAF-based analytics to provide QoS and Policy Assistance Analytics to consumer to support QoS and policy enhancement.","secretary_remarks":"Revised in parallel session to S2-2409089.","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27750,"status":"revised","reservation_date":"2024-07-08 15:51:12","uploaded":"2024-08-09 16:43:56","revisionof":"","revisedto":"S2-2409089","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1132.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407754.zip","group":"S2","meeting":"S2-164","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":"S2-2407755","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 training with successive VFL client information sharing with detailing the NEF and NWDAF service operations and the parameters included in the services.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27940,"status":"available","reservation_date":"2024-07-08 15:53:02","uploaded":"2024-08-09 16:43:56","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1133.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407755.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"New 6.2x, new 6.2x.1, new 6.2x.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407756","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":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28960,"status":"available","reservation_date":"2024-07-08 15:55:54","uploaded":"2024-08-09 16:43:56","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.503","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1328.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407756.zip","group":"S2","meeting":"S2-164","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":"S2-2407800","title":"General training procedure for NWDAF initiated Vertical Federated Learning between NWDAF(s) and AF(s)","source":"China Mobile, CATT, ZTE, OPPO","contact":"Aihua Li","contact-id":58162,"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, with the NWDAF as the VFL server.","secretary_remarks":"Revised in parallel session to S2-2408886.","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27550,"status":"revised","reservation_date":"2024-08-08 07:15:33","uploaded":"2024-08-09 10:28:15","revisionof":"","revisedto":"S2-2408886","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1134.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407800.zip","group":"S2","meeting":"S2-164","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":"S2-2407802","title":"General Description of Vertical Federated Learning","source":"LG Electronics","contact":"Jaewoo Kim","contact-id":92249,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: General description to support vertical federated learning in 5GC","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28400,"status":"available","reservation_date":"2024-08-08 07:18:26","uploaded":"2024-08-09 11:05:01","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1135.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407802.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"3.2, 5.X(new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407803","title":"General inference procedure for NWDAF initiated Vertical Federated Learning between NWDAF(s) and AF(s)","source":"China Mobile, CATT, ZTE","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: New clause 6.2X.Y is added to specify the general inference procedure for vertical federated learning between AF(s) and NWDAF(s) with NWDAF as the VFL server.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28530,"status":"available","reservation_date":"2024-08-08 07:18:46","uploaded":"2024-08-09 10:28:15","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1136.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407803.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407804","title":"NWDAF capability to support Vertical Federated Learning in TS 23.288","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.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27930,"status":"available","reservation_date":"2024-08-08 07:19:59","uploaded":"2024-08-09 11:05:01","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1137.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407804.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407805","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.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28540,"status":"available","reservation_date":"2024-08-08 07:21:19","uploaded":"2024-08-09 11:05:01","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":4881.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407805.zip","group":"S2","meeting":"S2-164","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":"S2-2407806","title":"Vertical Federated Learning (VFL) between NWDAF(s) and AF(s)","source":"China Mobile, CATT, ZTE, OPPO","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Rel-19 mirror CR: Summary of change: New clause 5.X is added to specify general introduction for vertical federated learning between AF(s) and NWDAF(s).","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28550,"status":"available","reservation_date":"2024-08-08 07:22:48","uploaded":"2024-08-09 10:28:15","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1138.0,"crrevision":"","crcategory":"A","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407806.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407807","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":"Confirm Specification Number - CR states 23.273! If TS 23.273 then a new CR number will be needed for any revision! Postponed in parallel session","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27860,"status":"postponed","reservation_date":"2024-08-08 07:27:28","uploaded":"2024-08-09 10:28:15","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1139.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407807.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407808","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":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28210,"status":"available","reservation_date":"2024-08-08 07:30:12","uploaded":"2024-08-09 10:28:15","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":542.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407808.zip","group":"S2","meeting":"S2-164","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)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407880","title":"Enhancement for AIML based Positioning","source":"Qualcomm Incorporated","contact":"Juan Zhang","contact-id":73274,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add LMF as a new consumer for ML model provision procedure in corresponding clause in TS 23288.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28220,"status":"available","reservation_date":"2024-08-08 14:32:37","uploaded":"2024-08-09 12:39:48","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1141.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407880.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 6.2.12.1, 6.2.12.2, 6.2A.0, 6.2A.1, 6.2A.2, 6.2A.3, 7.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407881","title":"Introduction of LMF enhancement for Direct AI\/ML based Positioning","source":"Qualcomm Incorporated","contact":"Juan Zhang","contact-id":73274,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding the introduction of LMF enhancement for direct AI\/ML based positioning.","secretary_remarks":"Revised in parallel session to S2-2408890.","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27460,"status":"revised","reservation_date":"2024-08-08 14:36:17","uploaded":"2024-08-09 12:39:49","revisionof":"","revisedto":"S2-2408890","release":"Rel-19","crspec":"23.273","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":543.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407881.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"4.3.3, 4.3.8, new 5.16.x, 8.4.2.1, 8.4.2.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407882","title":"The consumer of ML model provision","source":"Qualcomm Incorporated","contact":"Juan Zhang","contact-id":73274,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: NWDAF may provide trained ML model to LMF to support direct AI\/ML based positioning","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28230,"status":"available","reservation_date":"2024-08-08 14:40:47","uploaded":"2024-08-09 12:39:49","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5476.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407882.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407883","title":"[DRAFT] LS on input data for analytics of NWDAF assisted Network Abnormal Behaviour Mitigation and Prevention","source":"QUALCOMM JAPAN LLC.","contact":"Juan Zhang","contact-id":73274,"tdoctype":"LS out","for":"Approval","abstract":"LS on input data for analytics of NWDAF assisted Network Abnormal Behaviour Mitigation and Prevention","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":29020,"status":"available","reservation_date":"2024-08-08 14:44:12","uploaded":"2024-08-09 12:39:49","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_164_Maastricht_2024-08\/Docs\/S2-2407883.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407885","title":"Enhancement to support NWDAF-assisted policy control and QoS enhancement","source":"Qualcomm Incorporated","contact":"Juan Zhang","contact-id":73274,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduction of the enhancement to support NWDAF-assisted policy control and QoS enhancement in clause 6.4.1. Add new input data in clause 6.4.2. Add new output data in clause 6.4.3. Clarify PCF takes into account the candidate QoS parameters to determine new QoS parameters for a service.","secretary_remarks":"Check Affected Clauses!","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27980,"status":"available","reservation_date":"2024-08-08 14:46:47","uploaded":"2024-08-09 12:39:49","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1142.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407885.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407886","title":"Enhancement to support NWDAF-assisted policy control and QoS enhancement","source":"Qualcomm Incorporated","contact":"Juan Zhang","contact-id":73274,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that PCF provides expected Service Experience and the corresponding potential QoS information in the analytics subscription and receives candidate QoS parameters from NWDAF as analytics result.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28970,"status":"available","reservation_date":"2024-08-08 14:50:24","uploaded":"2024-08-09 12:39:49","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.503","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1334.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407886.zip","group":"S2","meeting":"S2-164","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":"S2-2407917","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":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28980,"status":"available","reservation_date":"2024-08-08 15:04:13","uploaded":"2024-08-09 16:39:56","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.503","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1340.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407917.zip","group":"S2","meeting":"S2-164","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":"S2-2407918","title":"Vertical Federated Learning General Description","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 1) Definitions agreed in the R19 study item phase are included. 2) The description of NWDAF capabilities are extended to include analtyics generation and model training based on VFL support. 3) General principles of VFL support agreed in R19 study item are reflected in a new Clause describing the Vertical Federated Learning Capability.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28560,"status":"available","reservation_date":"2024-08-08 15:04:14","uploaded":"2024-08-09 16:39:56","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1144.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407918.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"3.1, 4.1, 5.X (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2407999","title":"[DRAFT] LS on Allignment regarding data collection procedures for training LMF side LCS models","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"LS out","for":"Approval","abstract":"LS on Allignment regarding data collection procedures for training LMF side LCS models","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28040,"status":"available","reservation_date":"2024-08-08 18:17:25","uploaded":"2024-08-09 23:24:49","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG1, RAN WG2, RAN WG3","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2407999.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408000","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":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28100,"status":"available","reservation_date":"2024-08-08 19:09:31","uploaded":"2024-08-09 23:24:49","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG5","Cc":"RAN WG3","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408000.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408001","title":"Sample and feature alignment procedure for VFL","source":"Futurewei, OPPO","contact":"Abbas Kiani","contact-id":96296,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clause 6.2x.2 is added with new procedures for sample and feature alignment.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28420,"status":"available","reservation_date":"2024-08-08 19:22:26","uploaded":"2024-08-09 14:47:50","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1145.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408001.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2x.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408016","title":"KI#1: model storage and retrieval","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, and also the reuse of ADRF services.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28240,"status":"available","reservation_date":"2024-08-08 21:46:50","uploaded":"2024-08-09 23:24:49","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1146.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408016.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2A.0, 6.2A.3, 6.2B.5, 6.2B.6, 6.2B.7, 7.1, 10.1, 10.3.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408026","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":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28250,"status":"available","reservation_date":"2024-08-08 23:58:05","uploaded":"2024-08-09 23:24:49","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5507.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408026.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.18","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408038","title":"KI#2: Registration and discovery procedures of VFL entities","source":"ETRI","contact":"Jihoon Sung","contact-id":88970,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clause 5.2 is updated to include VFL scenarios. New clause 6.2X is added to address the above conclusion, including the registration and discovery procedures of VFL entities.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28570,"status":"available","reservation_date":"2024-09-08 01:46:42","uploaded":"2024-08-09 12:33:41","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1148.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408038.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408040","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: New clause 6.2X is added to address the above conclusion, including the preparation procedure including sample alignment for AF-initiated VFL.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28430,"status":"available","reservation_date":"2024-09-08 01:50:35","uploaded":"2024-08-09 12:33:41","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1149.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408040.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408041","title":"KI#2: Training and inference procedures for VFL among multiple NWDAFs","source":"ETRI","contact":"Jihoon Sung","contact-id":88970,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clause 5.3 is updated to include VFL among multiple NWDAFs. New clause 6.2X is addded to address the above conclusion, including the training and inference procedures for VFL among multiple NWDAFs.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28580,"status":"available","reservation_date":"2024-09-08 01:52:13","uploaded":"2024-08-09 12:33:41","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1150.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408041.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408049","title":"KI#2: Enhancement of NWDAF and NEF to support Vertical Federated Learning","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. Clauses 6.2.18, 6.3.13, and 6.2.6.2 are updated to address the above conclusion, including the VFL support scenarios by NWDAF.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28590,"status":"available","reservation_date":"2024-09-08 02:23:42","uploaded":"2024-08-09 12:33:41","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5515.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408049.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408054","title":"KI#2: Enhancement of NRF service for NWDAF and NEF to support Vertical Federated Learning","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":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28600,"status":"available","reservation_date":"2024-09-08 02:25:47","uploaded":"2024-08-09 12:33:41","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":4922.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408054.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408093","title":"KI#4: Massive UE signaling strom mitigation and prevention","source":"ETRI","contact":"JongGwan An","contact-id":102599,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: In TS 23.288, under clause 6.7's UE-related analysis, we propose a new UE handover and paging signaling analysis ID aimed at preventing and mitigating signaling storms.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":29060,"status":"available","reservation_date":"2024-09-08 04:27:34","uploaded":"2024-08-09 08:03:54","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1151.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408093.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.7, 6.7.1, 6.7.6 (new), 6.7.6.1 (new), 6.7.6.2 (new), 6.7.6.3 (new), 6.7.6.4 (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408099","title":"Adding functionality to FL server NWDAF 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":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28610,"status":"available","reservation_date":"2024-09-08 05:00:27","uploaded":"2024-08-09 05:04:42","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1152.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408099.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408130","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":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28620,"status":"available","reservation_date":"2024-09-08 05:59:39","uploaded":"2024-08-09 08:07:24","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5533.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408130.zip","group":"S2","meeting":"S2-164","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":"S2-2408157","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":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":29070,"status":"available","reservation_date":"2024-09-08 06:41:12","uploaded":"2024-08-09 06:44:58","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5537.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408157.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408209","title":"Support Direct AI\/ML based positioning","source":"Xiaomi","contact":"Jianning(Carry) LIU","contact-id":88587,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add a new clause for the new description of the feature","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28260,"status":"available","reservation_date":"2024-09-08 07:21:39","uploaded":"2024-08-09 09:59:55","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":549.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408209.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":true,"ran_affected":true,"cn_affected":true,"clauses_affected":"4.2b; 5.X","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408210","title":"Support AI\/ML model performance monitoring","source":"Xiaomi","contact":"Jianning(Carry) LIU","contact-id":88587,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce new clause for the procedures for Direct AI\/ML based Positioning","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27900,"status":"available","reservation_date":"2024-09-08 07:21:50","uploaded":"2024-08-09 09:59:55","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":550.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408210.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":true,"ran_affected":true,"cn_affected":true,"clauses_affected":"(new)6.X; (new) 6.X.1; (new) 6.X.2; (new) 6.X.3;","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408211","title":"Extend UE LCS privacy profile to support Authorization for data collection for AI\/ML model training","source":"Xiaomi","contact":"Jianning(Carry) LIU","contact-id":88587,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The UE LCS privacy profile also includes the Authorization for data collection for AI\/ML model training. When the AI\/ML model training entity performs model training operation, it needs to check whether the UE positioning data (e.g., UE measurement data, UE location information, etc.) is authorized to collect for AI\/ML model training.","secretary_remarks":"Postponed in parallel session","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27540,"status":"postponed","reservation_date":"2024-09-08 07:21:51","uploaded":"2024-08-09 09:59:55","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":551.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408211.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"(new) 5.4.2.X; 5.4.2.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408212","title":"Supporting authorization for data collection of AI model training in UDM","source":"Xiaomi","contact":"Jianning(Carry) LIU","contact-id":88587,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: To extend the LCS privacy profile data to include 'authorization for data collection for AI\/ML model training' in the Table 5.2.3.3.1-1: UE Subscription data types","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28270,"status":"available","reservation_date":"2024-09-08 07:21:52","uploaded":"2024-08-09 09:59:55","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":4938.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408212.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2.3.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408227","title":"5GC Supports for Vertical Federated Learning","source":"Vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add a new clause to describe the VFL feature from high level.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28630,"status":"available","reservation_date":"2024-09-08 07:29:16","uploaded":"2024-08-09 08:44:30","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1154.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408227.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408228","title":"Registration and discovery of VFL entities","source":"Vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: - Add some high level description for NWDAF registration and discovery for VFL in the clause 5.2 - Add a new clause 6.2x.x.x to describe Registration and Discovery procedure for Vertical Federated Learning.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28640,"status":"available","reservation_date":"2024-09-08 07:29:17","uploaded":"2024-08-09 08:44:30","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1155.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408228.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408229","title":"New procedure of sample alignment when NWDAF as VFL Server","source":"Vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Base on the conclusion, this CR proposes to add a new clause to introduce the procedure for how the NWDAF acting as VFL Server obtain the samples from the VFL clients, and generates the intersection of samples.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28650,"status":"available","reservation_date":"2024-09-08 07:29:18","uploaded":"2024-08-09 08:44:30","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1156.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408229.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2X.Y (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408230","title":"New procedures for VFL training","source":"Vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: This paper proposes to capture VFL training process when NWDAF acts as VFL server.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28660,"status":"available","reservation_date":"2024-09-08 07:29:19","uploaded":"2024-08-09 08:44:30","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1157.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408230.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408231","title":"New procedure of VFL Inference when NWDAF as VFL Server","source":"Vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Base on the conclusion, this CR proposes to add a new clause to introduce the procedure for VFL inference when the NWDAF acts as VFL Server.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28670,"status":"available","reservation_date":"2024-09-08 07:29:19","uploaded":"2024-08-09 08:44:30","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1158.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408231.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408255","title":"Vertical Federated Learning Support if AF is VFL Server with multiple NWDAFs in TS 23.288.","source":"KDDI","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Define the general procedure of Vertical Federated Learning among NWDAF(s) and\/or AF.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28680,"status":"available","reservation_date":"2024-09-08 07:43:26","uploaded":"2024-08-09 07:47:53","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1159.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408255.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408256","title":"Vertical Federated Learning if AF is VFL Server in TS 23.288","source":"KDDI","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Define the general procedure of Vertical Federated Learning among NWDAF(s) and\/or AF.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28380,"status":"available","reservation_date":"2024-09-08 07:50:56","uploaded":"2024-08-09 07:53:48","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1160.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408256.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.X(All new text)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408257","title":"General Support for Vertical Federated Learning in TS 23.288.","source":"KDDI","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Define the general procedure of Vertical Federated Learning among NWDAF(s) and\/or AF.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28690,"status":"available","reservation_date":"2024-09-08 07:55:55","uploaded":"2024-08-09 07:57:48","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1161.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408257.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.X(All new text)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408258","title":"Vertical Federated Learning if NWDAF is VFL Server in TS 23.288","source":"KDDI","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Define the general procedure of Vertical Federated Learning among NWDAF(s) and\/or AF.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27910,"status":"available","reservation_date":"2024-09-08 08:01:27","uploaded":"2024-08-09 08:03:03","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1162.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408258.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.X(All new text)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408259","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":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28700,"status":"available","reservation_date":"2024-09-08 08:10:52","uploaded":"2024-08-09 08:12:20","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":4945.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408259.zip","group":"S2","meeting":"S2-164","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":"S2-2408265","title":"Support of AI\/ML based positioning feature","source":"Vivo, OPPO, MediaTek Inc., Samsung","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: - Introduce a general clause to support AI\/ML based positioning feature; - Update MO-LR, MT-LR and deferred MT-LR to support AI\/ML based positioning.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28280,"status":"available","reservation_date":"2024-09-08 08:19:06","uploaded":"2024-08-09 09:07:24","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":553.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408265.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":true,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.x(new), 6.1.2, 6.2, 6.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408266","title":"KI#1 - Discusson paper on the data collection for AI positioning","source":"vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"discussion","for":"Information","abstract":"Presentation: This DP to discussion issues and solutions for data collection for AI positioning.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28050,"status":"available","reservation_date":"2024-09-08 08:19:07","uploaded":"2024-08-09 09:07:24","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_164_Maastricht_2024-08\/Docs\/S2-2408266.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408267","title":"Data collection for AI\/ML based positioning","source":"Vivo, OPPO,ZTE","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: - Add one procedure of data collection for AI\/ML based positioning triggered by NWDAF - Add one procedure of data collection for AI\/ML based positioning triggered by LMF","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27870,"status":"available","reservation_date":"2024-09-08 08:19:07","uploaded":"2024-08-09 09:07:24","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":554.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408267.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":true,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.x(new), 6.x.1(new), 6.x.2(new), 6.x.3(new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408268","title":"NWDAF collects data from LMF in order 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 LMF via GMLC services in order to train ML model for AI positioning.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28290,"status":"available","reservation_date":"2024-09-08 08:19:18","uploaded":"2024-08-09 09:07:24","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1163.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408268.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":true,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.12.1, 6.2.12.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408269","title":"New procedure for LMF to retrieve ML Model from MTLF","source":"Vivo, OPPO, China Telecom, ZTE, Samsung","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add a new clause to introduce the procedure for how the LMF get the ML Model for AI\/ML based positioning.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28300,"status":"available","reservation_date":"2024-09-08 08:19:18","uploaded":"2024-08-09 09:07:24","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":555.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408269.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.X (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408270","title":"Support for LMF to retrieve ML Model of AI\/ML based positioning","source":"Vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The NWDAF containing MTLF is enhanced to support providing ML Models to LMF, new capability of model training for AI\/ML based positioning. The corresponding service descriptions are modified.","secretary_remarks":"Revised in parallel session to S2-2408885.","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27410,"status":"revised","reservation_date":"2024-09-08 08:19:19","uploaded":"2024-08-09 09:07:24","revisionof":"","revisedto":"S2-2408885","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1164.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408270.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.1, 5.2, 6.2A.0, 6.2A.1, 6.2A.2, 6.2A.3, 7.1, 7.5.2, 7.5.4, 7.6.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408309","title":"NWDAF assisted signalling storm analytics","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 1. Define a new analytics ID for signalling storm analytics. 2. Define the filter information in the signalling storm analytics request. 3. Define the input and output parameters of the new analytics 4. Define the procedure of the new analytics.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":29080,"status":"available","reservation_date":"2024-09-08 09:24:42","uploaded":"2024-08-09 16:45:08","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1166.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408309.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408316","title":"NWDAF Discovery for VFL.","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: It is proposed to add VFL group ID in the procedure","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28710,"status":"available","reservation_date":"2024-09-08 09:52:08","uploaded":"2024-08-09 16:40:20","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"eNA_Ph3"}],"crnumber":1167.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408316.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408318","title":"VFL Inference Procedures","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduction of two new complete clauses in TS 23.288 to reflect the conclusions of VFL Inference with NWDAF acting as VFL Server and VFL Inference with AF acting as VFL server. It is proposed to organize the VFL Inference procedures according to which NF receives the request or subscription from the Analytics Consumer (e.g., PCF).","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28720,"status":"available","reservation_date":"2024-09-08 09:52:10","uploaded":"2024-08-09 16:40:20","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1169.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408318.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2X.2.y(new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408320","title":"Discussion on the multiple NWDAF case if AF is VFL server","source":"KDDI Corporation","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"discussion","for":"Information","abstract":"Presentation: Discussion on the multiple NWDAF case if AF is VFL server","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28390,"status":"available","reservation_date":"2024-09-08 09:56:36","uploaded":"2024-08-09 09:57:50","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_164_Maastricht_2024-08\/Docs\/S2-2408320.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408330","title":"NWDAF enhancements for Direct AI\/ML positioning","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the descriptions of MTLF registration and discovery using the 'Direct AI\/ML positioning indication'. Add the descriptions of Location Measurement data collection from LMF. Update the ML model provisioning related clauses to support using 'Direct AI\/ML positioning indication' to subscribe\/request positioning AI\/ML model from NWDAF.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28310,"status":"available","reservation_date":"2024-09-08 09:59:40","uploaded":"2024-08-09 13:59:43","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1170.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408330.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"4.2.0, 5.2, 6.2.1, 6.2.12A (new), 6.2A, 7.1, 7.5.1, 7.5.2, 7.5.4, 7.6.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408331","title":"NWDAF enhancements for Direct 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 'Direct AI\/ML positioning indication'. Update the description to support NWDAF providing ML model to the LMF.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28320,"status":"available","reservation_date":"2024-09-08 09:59:41","uploaded":"2024-08-09 13:59:43","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5563.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408331.zip","group":"S2","meeting":"S2-164","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":"S2-2408332","title":"NWDAF enhancements for Direct 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 'Direct AI\/ML positioning indication'.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28330,"status":"available","reservation_date":"2024-09-08 09:59:42","uploaded":"2024-08-09 13:59:43","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":4952.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408332.zip","group":"S2","meeting":"S2-164","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":"S2-2408333","title":"LMF enhancements for Direct AI\/ML based positioning","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the descriptions that LMF performs location calculation based on ML model, ML model training and ML model performance monitoring for Direct AI\/ML based Positioning. Add new LMF service operations and procedures to support providing the Location Measurement data to the consumer NF.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27880,"status":"available","reservation_date":"2024-09-08 09:59:43","uploaded":"2024-08-09 13:59:43","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":556.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408333.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"4.3.X (new), 4.4.13, 5.X (new), 6.21.1, 6.21.X (new), 6.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":"S2-2408406","title":"Registration and Discovery procedure for Vertical Federated Learning among NWDAF(s) and\/or AF(s) with NWDAF as the VFL server","source":"ICS, OPPO, InterDigital","contact":"Morteza Kheirkhah","contact-id":105251,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: [1st Change] Updateting FL capability type to indicate VFL client\/server in clause 5.2. [2nd Change] Adding a new subsection to describe required procedures to perform VFL Registration and Discovery when NWDAF(s) and\/or AF(s) are the VFL client with a VFL Server NWDAF.","secretary_remarks":"Revised in parallel session to S2-2409088.","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27670,"status":"revised","reservation_date":"2024-09-08 11:53:54","uploaded":"2024-08-09 20:29:23","revisionof":"","revisedto":"S2-2409088","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1171.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408406.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 6.2X (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408408","title":"New analytics ID to support Signalling storm Mitigation and Prevention caused by NFs","source":"SK Telecom, AT&T, China Mobile, ETRI, KDDI, KPN N.V., LG Uplus, OPPO, Rakuten Mobile, Samsung, vivo, ZTE","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 S2-2407534. Revised in parallel session to S2-2408889.","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27810,"status":"revised","reservation_date":"2024-09-08 11:59:25","uploaded":"2024-08-09 12:11:44","revisionof":"S2-2407534","revisedto":"S2-2408889","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1104.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408408.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408472","title":"KI#2: NWDAF with internal structure of MTLF, AnLF and ADRF","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"discussion","for":"Discussion","abstract":"This contribution analyses how to handle VFL at an NWDAF with internal structure of MTLF, AnLF and ADRF for key issue 2. A related CR is in S2-2408495.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28440,"status":"available","reservation_date":"2024-09-08 13:42:36","uploaded":"2024-08-09 23:24:49","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_164_Maastricht_2024-08\/Docs\/S2-2408472.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408479","title":"KI#2: VFL 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 with NWDAF as server","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28730,"status":"available","reservation_date":"2024-09-08 13:49:18","uploaded":"2024-08-09 23:57:49","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1172.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408479.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408483","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":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28740,"status":"available","reservation_date":"2024-09-08 13:59:17","uploaded":"2024-08-09 23:24:49","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1173.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408483.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408484","title":"KI#2: NWDAF discovery for VFL","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Discovery procedure added for Vertical Federated learning","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28750,"status":"available","reservation_date":"2024-09-08 14:05:24","uploaded":"2024-08-09 23:24:49","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1174.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408484.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408485","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":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":28760,"status":"available","reservation_date":"2024-09-08 14:11:48","uploaded":"2024-08-09 23:24:49","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5590.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408485.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408487","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":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21540,"status":"available","reservation_date":"2024-09-08 14:16:20","uploaded":"2024-08-09 23:24:49","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":4971.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408487.zip","group":"S2","meeting":"S2-164","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":"S2-2408490","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":"Check Affected Clauses!","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21550,"status":"available","reservation_date":"2024-09-08 14:22:57","uploaded":"2024-08-09 23:24:49","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1175.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408490.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408493","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":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21560,"status":"available","reservation_date":"2024-09-08 14:28:44","uploaded":"2024-08-09 23:24:49","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5591.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408493.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.3.13","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408495","title":"KI#2: VFL procedures","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: New Clause Added 5.4 Vertical Federated Learning among NWDAFs","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21570,"status":"available","reservation_date":"2024-09-08 14:34:53","uploaded":"2024-08-09 23:24:49","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1176.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408495.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408515","title":"New analytics ID UE signalling to support Network Abnormal Behaviour Mitigation and Prevention","source":"China Telecom","contact":"Jiahui LI","contact-id":92933,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: New 'UE signalling storm' analytics is added in 'UE related anlytics'.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21580,"status":"available","reservation_date":"2024-09-08 15:22:07","uploaded":"2024-08-09 18:18:28","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1178.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408515.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":" 6.7.1, 6.7.6 (All New)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408516","title":"General description on Network Abnormal Behaviour Mitigation and Prevention","source":"China Telecom, Tencent, Tencent Cloud","contact":"Jiahui LI","contact-id":92933,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add general description of NWDAF service to support network abnormal behavior mitigation and prevention. Add how AMF uses Analytics ID to prevent potential signalling storm.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21590,"status":"available","reservation_date":"2024-09-08 15:22:07","uploaded":"2024-08-09 18:18:28","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5597.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408516.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":" 5.4.13.5, 5.19.7.2, 5.X(All new), 6.2.18","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408517","title":"AF service enhancement to support timer information collection","source":"China Telecom","contact":"Jiahui LI","contact-id":92933,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add user active\/inactive information as an event can be subscribed by consumer NF. Add SUPI\/GPSI Range in service inputs.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21600,"status":"available","reservation_date":"2024-09-08 15:22:08","uploaded":"2024-08-09 18:18:28","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":4976.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408517.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":" 5.2.19.2.1, 5.2.19.2.2, 5.2.19.2.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408524","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":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21610,"status":"available","reservation_date":"2024-09-08 15:23:16","uploaded":"2024-08-09 23:24:49","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5598.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408524.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.5.0","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408543","title":"KI#3: QoS Parameters Assistance Analytics and Extensions to Observed service experience, QoS sustainability, Network Performance analytics","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 1 - Add a new section 6.x for 'QoS Parameters Assistance Analytics' 2 - Update Observed service experience, QoS sustainability, Network Performance analytics to support 'QoS Parameters Assistance' analytics Note: Definition of QoS Parameters Assistance Analytics, which uses Update Observed service experience, QoS sustainability, Network Performance analytic, is based on the methodology used in 23.288, clause 6.7.4 to define Expected UE behavioural parameters related analytics using UE Mobility and Communications Analytics.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21620,"status":"revised","reservation_date":"2024-09-08 15:54:34","uploaded":"2024-08-09 23:24:49","revisionof":"","revisedto":"S2-2409090","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1179.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408543.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"new 6.x, 6.4.1, 6.4.2, 6.4.3, 6.6.1, 6.6.2, 6.6.3, 6.9.1, 6.9.2, 6.9.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408576","title":"KI#4: Extending Abnormal behaviour related network data analytics for signalling storm caused by massive UE signalling","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The Abnormal behaviour related network data analytics are extended for signalling storm caused by massive UE signalling. A new related Exception ID is introduced. Necessary input parameters for NWDAF to generate the new analytics are derived from key issue 4 conclusions.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21630,"status":"available","reservation_date":"2024-09-08 16:07:26","uploaded":"2024-08-09 23:24:49","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1181.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408576.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408585","title":"KI#4: new Analytics ID for signalling storm caused by abnormal NF behavior","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: A new Analytics ID for signalling storm caused by abnormal NF behavior is introduced. Necessary input parameters for NWDAF to generate the new analytics are derived from key issue 4 conclusions.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21640,"status":"available","reservation_date":"2024-09-08 16:44:50","uploaded":"2024-08-09 23:24:49","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1182.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408585.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408590","title":"KI#4: Need for new Analytics ID for signalling storm caused by massive UE signalling","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"discussion","for":"Discussion","abstract":"This contribution analyses for key issue 4 whether to define a new Analytics ID for signalling storm caused by massive UE signalling. A related CR is in S2-240xxxx.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21650,"status":"available","reservation_date":"2024-09-08 16:53:01","uploaded":"2024-08-09 23:24:49","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_164_Maastricht_2024-08\/Docs\/S2-2408590.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408600","title":"New analytics for signaling storm mitigation and prevention","source":"Samsung","contact":"Jungshin Park","contact-id":65750,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add a clause for the Signaling Storm analytics","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21660,"status":"available","reservation_date":"2024-09-08 17:15:43","uploaded":"2024-08-09 19:25:35","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1184.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408600.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.X (new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408610","title":"KI#1: Use Pseudo Analytics ID for model storage and retrieval","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 S2-2408016.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21670,"status":"available","reservation_date":"2024-09-08 17:34:34","uploaded":"2024-08-09 23:24:49","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_164_Maastricht_2024-08\/Docs\/S2-2408610.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408611","title":"KI#3: Extend existing analytics to determine assistance information for QoS parameters","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"discussion","for":"Discussion","abstract":"This contribution analyses for key issue 3 whether to extend Observed service experience, QoS sustainability, Network Performance analytics. A related CR is in S2-2408543.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21680,"status":"available","reservation_date":"2024-09-08 17:40:26","uploaded":"2024-08-09 23:24:49","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_164_Maastricht_2024-08\/Docs\/S2-2408611.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408657","title":"VFL support during the discovery of NWDAF, NEF, and AF instances","source":"ICS, Futurewei, InterDigital","contact":"Morteza Kheirkhah","contact-id":105251,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: [6.3.13] including VFL related parameters [6.3.14] including an indication that NEF now can be selected according to NEF's VFL capability [6.3.25] including an indication that AF can be discovered based on the VFL capability","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21690,"status":"available","reservation_date":"2024-09-08 20:48:16","uploaded":"2024-08-09 20:56:53","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5621.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408657.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408658","title":"Enhancement to NRF s discovery and registration procedures to support VFL","source":"ICS, Futurewei, InterDigital","contact":"Morteza Kheirkhah","contact-id":105251,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Intorducing VFL related suppports in NRF: Modification to FL capability type to support VFL Introducing new container VFL capability information which may support other VFL related parameters including Vendor ID(s)","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21700,"status":"available","reservation_date":"2024-09-08 20:53:14","uploaded":"2024-08-09 21:03:44","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.0.0","workitem":[{"winame":"AIML_CN"}],"crnumber":4992.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408658.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2.7.2.2 [Nnrf_NFManagement_NFRegister service operation]5.2.7.3.2 [Nnrf_NFDiscovery_Request service operation]5.2.7.2.5 [Nnrf_NFManagement_NFStatusSubscribe service operation]","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408659","title":"High level feature description for VFL","source":"Interdigital","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: New clause for high level description for VFL. Update on NWDAF discovery and selection for VFL.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21710,"status":"revised","reservation_date":"2024-09-08 20:59:17","uploaded":"2024-08-09 21:37:01","revisionof":"","revisedto":"S2-2408888","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1185.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408659.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 5.X","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408660","title":"VFL Procedures for client 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 client discovery, Sample and Feature Alignment New service operation is proposed to define new NEF service operations and NWDAF service operations for VFL.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21720,"status":"available","reservation_date":"2024-09-08 21:09:46","uploaded":"2024-08-09 21:37:01","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1186.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408660.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2X ","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408662","title":"Enabling VFL training in 5GC with AF as Server","source":"Interdigital","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: A new clause is added to describe VFL training with AF as the VFL Server.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21730,"status":"available","reservation_date":"2024-09-08 21:21:35","uploaded":"2024-08-09 21:37:01","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1187.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408662.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2X ","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408663","title":"Enabling VFL Inference in 5GC","source":"Interdigital","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding a new clause to describe VFL Inference.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21740,"status":"available","reservation_date":"2024-09-08 21:27:34","uploaded":"2024-08-09 21:37:01","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1188.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408663.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2X ","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408665","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":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21750,"status":"available","reservation_date":"2024-09-08 21:41:49","uploaded":"2024-08-09 21:59:46","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":568.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408665.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408668","title":"Data collection for AI\/ML positioning model training","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":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21760,"status":"available","reservation_date":"2024-09-08 21:47:07","uploaded":"2024-08-09 21:59:46","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":569.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408668.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408670","title":"Support of AI\/ML based positioning methods","source":"InterDigital, Inc.","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add general description of AI\/ML based positioning. Update LMF description for AI\/ML based positioning support. Update NL8 interface description.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21770,"status":"available","reservation_date":"2024-09-08 21:52:02","uploaded":"2024-08-09 21:59:46","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":570.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408670.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408674","title":"Enhancing Network Data Analytics to support Flexible combined\/joint analytics","source":"InterDigital, Inc.","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: -Introduce Analytics IDs Set association information, when requesting multiple analytics IDs that may be used jointly. -Introduce an indication whether the analytics IDs need to be produced Jointly (e.g., using a jointly trained ML Model) or separately. - Introduce Analytics\/ML Model sensitivity as a performance metric for analytics\/ML Model predictions.","secretary_remarks":"","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21780,"status":"available","reservation_date":"2024-09-08 22:20:11","uploaded":"2024-08-09 22:26:33","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1189.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408674.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408883","title":"[DRAFT] LS on Data collection for training LMF-side models","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"LS out","for":"Approval","abstract":"LS on Data collection for training LMF-side models","secretary_remarks":"Revision of S2-2407572. Withdrawn","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27380,"status":"withdrawn","reservation_date":"2024-08-25 18:32:03","uploaded":null,"revisionof":"S2-2407572","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"TSG RAN, RAN WG1","Cc":"RAN WG2","lsoriginalls":"","lsreply":"","link":"","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408884","title":"Model training and provisioning for AI\/ML based positioning","source":"CATT, China Unicom, China Mobile, ZTE","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the procedures that NWDAF containing MTLF trains and provisions ML model for AI\/ML based positioning.","secretary_remarks":"Revision of S2-2407527. Merged into S2-2409130","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27400,"status":"merged","reservation_date":"2024-08-25 18:32:03","uploaded":"2024-08-25 18:41:06","revisionof":"S2-2407527","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1100.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408884.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408885","title":"Support for LMF to retrieve ML Model of AI\/ML based positioning","source":"Vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The NWDAF containing MTLF is enhanced to support providing ML Models to LMF, new capability of model training for AI\/ML based positioning. The corresponding service descriptions are modified.","secretary_remarks":"Revision of S2-2408270. Revised in parallel session to S2-2409130, merging S2-2408884","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27420,"status":"revised","reservation_date":"2024-08-25 18:32:03","uploaded":"2024-08-25 18:41:06","revisionof":"S2-2408270","revisedto":"S2-2409130","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1164.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408885.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408886","title":"General training procedure for NWDAF initiated Vertical Federated Learning between NWDAF(s) and AF(s)","source":"China Mobile, CATT, ZTE, OPPO","contact":"Aihua Li","contact-id":58162,"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, with the NWDAF as the VFL server.","secretary_remarks":"Revision of S2-2407800. Revised in parallel session to S2-2409134.","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27560,"status":"revised","reservation_date":"2024-08-25 18:32:04","uploaded":"2024-08-25 18:41:06","revisionof":"S2-2407800","revisedto":"S2-2409134","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1134.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408886.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408887","title":"General inference procedure for vertical federated learning between AF and NWDAFs with AF as the VFL server","source":"OPPO, ETRI, China Telecom, Tencent, ICS","contact":"Jingran Chen","contact-id":100820,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: New clause 6.2X is added. The sub-clause 6.2X.1 and 6.2X.2 are added to specify the general inference procedure for vertical federated learning between AF and NWDAFs with AF as the VFL server.","secretary_remarks":"Revision of S2-2407639. Revised in parallel session to S2-2409133.","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27600,"status":"revised","reservation_date":"2024-08-25 18:32:05","uploaded":"2024-08-25 18:41:06","revisionof":"S2-2407639","revisedto":"S2-2409133","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1126.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408887.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408888","title":"High level feature description for VFL","source":"Interdigital","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: New clause for high level description for VFL. Update on NWDAF discovery and selection for VFL.","secretary_remarks":"Revision of S2-2408659. Revised in parallel session to S2-2409135.","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27640,"status":"revised","reservation_date":"2024-08-25 18:32:06","uploaded":"2024-08-25 18:41:06","revisionof":"S2-2408659","revisedto":"S2-2409135","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1185.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408888.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408889","title":"New analytics ID to support Signalling storm Mitigation and Prevention caused by NFs","source":"SK Telecom, AT&T, China Mobile, ETRI, KDDI, KPN N.V., LG Uplus, OPPO, Rakuten Mobile, Samsung, vivo, ZTE","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 S2-2408408. Revised in parallel session to S2-2409139, merging S2-2408515","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27820,"status":"revised","reservation_date":"2024-08-25 18:32:07","uploaded":"2024-08-25 18:41:06","revisionof":"S2-2408408","revisedto":"S2-2409139","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1104.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408889.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408890","title":"Introduction of LMF enhancement for Direct AI\/ML based Positioning","source":"Qualcomm Incorporated","contact":"Juan Zhang","contact-id":73274,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding the introduction of LMF enhancement for direct AI\/ML based positioning.","secretary_remarks":"Revision of S2-2407881. Revised in parallel session to S2-2409131.","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27470,"status":"revised","reservation_date":"2024-08-25 18:32:07","uploaded":"2024-08-25 18:41:06","revisionof":"S2-2407881","revisedto":"S2-2409131","release":"Rel-19","crspec":"23.273","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":543.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408890.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2408891","title":"KI#1 - LMF enhancements for UE positioning using a ML model","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: LMF functional description is extended to indicate that UE positioning may be based on ML model. LMF retrieves user consent for data collection for the purpose of model training from UDM. The LMF collects channel measurements from the UE using a N1 container that is sent transparently via AMF. The N1 container transfer a LCS Periodic-Triggered Invoke Request\/Response to request channel measurements and location estimates. The procedure for data collection is applicable for training an ML Model in LMF, however any differences with the procedure for data collection when the training of the ML Model is not in LMF should be minimized.","secretary_remarks":"Revision of S2-2407488. Revised in parallel session to S2-2409132.","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27510,"status":"revised","reservation_date":"2024-08-25 18:32:08","uploaded":"2024-08-25 18:41:06","revisionof":"S2-2407488","revisedto":"S2-2409132","release":"Rel-19","crspec":"23.273","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":532.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2408891.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409088","title":"Registration and Discovery procedure for Vertical Federated Learning among NWDAF(s) and\/or AF(s) with NWDAF as the VFL server","source":"ICS, OPPO, InterDigital","contact":"Morteza Kheirkhah","contact-id":105251,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: [1st Change] Updateting FL capability type to indicate VFL client\/server in clause 5.2. [2nd Change] Adding a new subsection to describe required procedures to perform VFL Registration and Discovery when NWDAF(s) and\/or AF(s) are the VFL client with a VFL Server NWDAF.","secretary_remarks":"Revision of S2-2408406. Revised in parallel session to S2-2409136.","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27680,"status":"revised","reservation_date":"2024-08-25 18:34:16","uploaded":"2024-08-25 18:41:09","revisionof":"S2-2408406","revisedto":"S2-2409136","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1171.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2409088.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409089","title":"Support of QoS and policy assistance analytics","source":"Samsung, vivo, OPPO, SK Telecom, China Mobile, Tencent, Tencent Cloud, InterDigital Inc","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce a new NWDAF-based analytics to provide QoS and Policy Assistance Analytics to consumer to support QoS and policy enhancement.","secretary_remarks":"Revision of S2-2407754. Revised in parallel session to S2-2409138, merging S2-2409090","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27760,"status":"revised","reservation_date":"2024-08-25 18:34:17","uploaded":"2024-08-25 18:41:09","revisionof":"S2-2407754","revisedto":"S2-2409138","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1132.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2409089.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409090","title":"KI#3: QoS Parameters Assistance Analytics and Extensions to Observed service experience, QoS sustainability, Network Performance analytics","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 1 - Add a new section 6.x for 'QoS Parameters Assistance Analytics' 2 - Update Observed service experience, QoS sustainability, Network Performance analytics to support 'QoS Parameters Assistance' analytics Note: Definition of QoS Parameters Assistance Analytics, which uses Update Observed service experience, QoS sustainability, Network Performance analytic, is based on the methodology used in 23.288, clause 6.7.4 to define Expected UE behavioural parameters related analytics using UE Mobility and Communications Analytics.","secretary_remarks":"Revision of S2-2408543. Merged into S2-2409138","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27790,"status":"merged","reservation_date":"2024-08-25 18:34:18","uploaded":"2024-08-25 18:41:09","revisionof":"S2-2408543","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1179.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2409090.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409091","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 S2-2407589. Merged into S2-2409138","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27720,"status":"revised","reservation_date":"2024-08-25 18:34:19","uploaded":"2024-08-25 18:41:09","revisionof":"S2-2407589","revisedto":"S2-2409137","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1121.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2409091.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409130","title":"Support for LMF to retrieve ML Model of AI\/ML based positioning","source":"Vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The NWDAF containing MTLF is enhanced to support providing ML Models to LMF, new capability of model training for AI\/ML based positioning. The corresponding service descriptions are modified.","secretary_remarks":"Revision of S2-2408885, merging S2-2408884. Revised in parallel session to S2-2409413.","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27430,"status":"revised","reservation_date":"2024-08-25 18:34:42","uploaded":"2024-08-25 18:41:10","revisionof":"S2-2408885","revisedto":"S2-2409413","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1164.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2409130.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409131","title":"Introduction of LMF enhancement for Direct AI\/ML based Positioning","source":"Qualcomm Incorporated","contact":"Juan Zhang","contact-id":73274,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding the introduction of LMF enhancement for direct AI\/ML based positioning.","secretary_remarks":"Revision of S2-2408890. Revised in parallel session to S2-2409414.","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27480,"status":"revised","reservation_date":"2024-08-25 18:34:42","uploaded":"2024-08-25 18:41:10","revisionof":"S2-2408890","revisedto":"S2-2409414","release":"Rel-19","crspec":"23.273","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":543.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2409131.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409132","title":"KI#1 - LMF enhancements for UE positioning using a ML model","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: LMF functional description is extended to indicate that UE positioning may be based on ML model. LMF retrieves user consent for data collection for the purpose of model training from UDM. The LMF collects channel measurements from the UE using a N1 container that is sent transparently via AMF. The N1 container transfer a LCS Periodic-Triggered Invoke Request\/Response to request channel measurements and location estimates. The procedure for data collection is applicable for training an ML Model in LMF, however any differences with the procedure for data collection when the training of the ML Model is not in LMF should be minimized.","secretary_remarks":"Revision of S2-2408891. Revised in parallel session to S2-2409415.","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27520,"status":"revised","reservation_date":"2024-08-25 18:34:43","uploaded":"2024-08-25 18:41:10","revisionof":"S2-2408891","revisedto":"S2-2409415","release":"Rel-19","crspec":"23.273","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":532.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2409132.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409133","title":"General inference procedure for vertical federated learning between AF and NWDAFs with AF as the VFL server","source":"OPPO, ETRI, China Telecom, Tencent, ICS","contact":"Jingran Chen","contact-id":100820,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: New clause 6.2X is added. The sub-clause 6.2X.1 and 6.2X.2 are added to specify the general inference procedure for vertical federated learning between AF and NWDAFs with AF as the VFL server.","secretary_remarks":"Revision of S2-2408887. Revised in parallel session to S2-2409417.","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27610,"status":"revised","reservation_date":"2024-08-25 18:34:44","uploaded":"2024-08-25 18:41:10","revisionof":"S2-2408887","revisedto":"S2-2409417","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1126.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2409133.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409134","title":"General training procedure for NWDAF initiated Vertical Federated Learning between NWDAF(s) and AF(s)","source":"China Mobile, CATT, ZTE, OPPO","contact":"Aihua Li","contact-id":58162,"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, with the NWDAF as the VFL server.","secretary_remarks":"Revision of S2-2408886. Revised in parallel session to S2-2409416.","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27570,"status":"revised","reservation_date":"2024-08-25 18:34:45","uploaded":"2024-08-25 18:41:10","revisionof":"S2-2408886","revisedto":"S2-2409416","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1134.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2409134.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409135","title":"High level feature description for VFL","source":"Interdigital","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: New clause for high level description for VFL. Update on NWDAF discovery and selection for VFL.","secretary_remarks":"Revision of S2-2408888. Revised in parallel session to S2-2409418.","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27650,"status":"revised","reservation_date":"2024-08-25 18:34:46","uploaded":"2024-08-25 18:41:10","revisionof":"S2-2408888","revisedto":"S2-2409418","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1185.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2409135.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409136","title":"Registration and Discovery procedure for Vertical Federated Learning among NWDAF(s) and\/or AF(s) with NWDAF as the VFL server","source":"ICS, OPPO, InterDigital","contact":"Morteza Kheirkhah","contact-id":105251,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: [1st Change] Updateting FL capability type to indicate VFL client\/server in clause 5.2. [2nd Change] Adding a new subsection to describe required procedures to perform VFL Registration and Discovery when NWDAF(s) and\/or AF(s) are the VFL client with a VFL Server NWDAF.","secretary_remarks":"Revision of S2-2409088. Revised in parallel session to S2-2409419.","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27690,"status":"revised","reservation_date":"2024-08-25 18:34:47","uploaded":"2024-08-25 18:41:10","revisionof":"S2-2409088","revisedto":"S2-2409419","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1171.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2409136.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409137","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 S2-2409091. Withdrawn","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27730,"status":"withdrawn","reservation_date":"2024-08-25 18:34:47","uploaded":null,"revisionof":"S2-2409091","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1121.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409138","title":"Support of QoS and policy assistance analytics","source":"Samsung, vivo, OPPO, SK Telecom, China Mobile, Tencent, Tencent Cloud, InterDigital Inc","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce a new NWDAF-based analytics to provide QoS and Policy Assistance Analytics to consumer to support QoS and policy enhancement.","secretary_remarks":"Revision of S2-2409089, merging S2-2409090 and S2-2409091. Postponed in parallel session","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27770,"status":"postponed","reservation_date":"2024-08-25 18:34:48","uploaded":"2024-08-25 18:41:10","revisionof":"S2-2409089","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1132.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2409138.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409139","title":"New analytics ID to support Signalling storm Mitigation and Prevention caused by NFs","source":"SK Telecom, AT&T, China Mobile, ETRI, KDDI, KPN N.V., LG Uplus, OPPO, Rakuten Mobile, Samsung, vivo, ZTE","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 S2-2408889, merging S2-2408515. Revised in parallel session to S2-2409420.","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27830,"status":"revised","reservation_date":"2024-08-25 18:34:49","uploaded":"2024-08-25 18:41:10","revisionof":"S2-2408889","revisedto":"S2-2409420","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1104.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2409139.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409413","title":"Support for LMF to retrieve ML Model of AI\/ML based positioning","source":"Vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The NWDAF containing MTLF is enhanced to support providing ML Models to LMF, new capability of model training for AI\/ML based positioning.","secretary_remarks":"Revision of S2-2409130. Agreed in parallel session","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27500,"status":"agreed","reservation_date":"2024-08-25 18:37:18","uploaded":"2024-08-25 18:41:13","revisionof":"S2-2409130","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1164.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"SP-241264","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2409413.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409414","title":"Introduction of LMF enhancement for Direct AI\/ML based Positioning","source":"Qualcomm Incorporated","contact":"Juan Zhang","contact-id":73274,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding the introduction of LMF enhancement for direct AI\/ML based positioning.","secretary_remarks":"Revision of S2-2409131. Agreed in parallel session","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27550,"status":"agreed","reservation_date":"2024-08-25 18:37:19","uploaded":"2024-08-25 18:41:13","revisionof":"S2-2409131","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":543.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"SP-241264","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2409414.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409415","title":"KI#1 - LMF enhancements for UE positioning using a ML model","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The LMF collects input data for ML Model training from the UE","secretary_remarks":"Revision of S2-2409132. Agreed in parallel session","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27590,"status":"agreed","reservation_date":"2024-08-25 18:37:19","uploaded":"2024-08-25 18:41:13","revisionof":"S2-2409132","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":532.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"SP-241264","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2409415.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409416","title":"General training procedure for NWDAF initiated Vertical Federated Learning between NWDAF(s) and AF(s)","source":"China Mobile, CATT, ZTE, OPPO","contact":"Aihua Li","contact-id":58162,"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, with the NWDAF as the VFL server.","secretary_remarks":"Revision of S2-2409134. Noted in parallel session","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27580,"status":"noted","reservation_date":"2024-08-25 18:37:20","uploaded":"2024-08-25 18:41:13","revisionof":"S2-2409134","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1134.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2409416.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409417","title":"General inference procedure for vertical federated learning between AF and NWDAFs with AF as the VFL server","source":"OPPO, ETRI, China Telecom, Tencent, ICS","contact":"Jingran Chen","contact-id":100820,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: New clause 6.2X is added. The sub-clause 6.2X.1 and 6.2X.2 are added to specify the general inference procedure for vertical federated learning.","secretary_remarks":"Revision of S2-2409133. Agreed in parallel session","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27680,"status":"agreed","reservation_date":"2024-08-25 18:37:21","uploaded":"2024-08-25 18:41:13","revisionof":"S2-2409133","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1126.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"SP-241264","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2409417.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409418","title":"High level feature description for VFL","source":"Interdigital","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: New clause for high level description for VFL. Update on NWDAF discovery and selection for VFL.","secretary_remarks":"Revision of S2-2409135. Agreed in parallel session","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27720,"status":"agreed","reservation_date":"2024-08-25 18:37:22","uploaded":"2024-08-25 18:41:13","revisionof":"S2-2409135","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1185.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"SP-241264","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2409418.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409419","title":"Registration and Discovery procedure for Vertical Federated Learning among NWDAF(s) and\/or AF(s) with NWDAF as the VFL server","source":"ICS, OPPO, InterDigital","contact":"Morteza Kheirkhah","contact-id":105251,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: [1st Change] Adding a new subsection to describe required procedures to perform VFL Registration and Discovery when NWDAF(s) and\/or AF(s) are the VFL client with a VFL Server NWDAF.","secretary_remarks":"Revision of S2-2409136. Agreed in parallel session","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27760,"status":"agreed","reservation_date":"2024-08-25 18:37:23","uploaded":"2024-08-25 18:41:13","revisionof":"S2-2409136","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1171.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"SP-241264","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2409419.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2409420","title":"New analytics ID to support Signalling storm Mitigation and Prevention caused by NFs","source":"SK Telecom, AT&T, China Mobile, ETRI, KDDI, KPN N.V., LG Uplus, OPPO, Rakuten Mobile, Samsung, vivo, ZTE","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 S2-2409139. Postponed","agenda_item_sort_order":139,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":27840,"status":"postponed","reservation_date":"2024-08-25 18:37:23","uploaded":"2024-08-25 18:41:13","revisionof":"S2-2409139","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"18.6.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1104.0,"crrevision":4.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_164_Maastricht_2024-08\/Docs\/S2-2409420.zip","group":"S2","meeting":"S2-164","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0}]