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{"name":"S2-2403922","title":"Solution for KI#3: Framework for supporting policy recommendations.","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"pCR","for":"Approval","abstract":"-","secretary_remarks":"Revision of S2-2401974 Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27570,"status":"not treated","reservation_date":"2024-03-27 09:36:40","uploaded":"2024-04-05 18:14:51","revisionof":"S2-2401974","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2403922.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403923","title":"Solution for KI#4: Flexible analytics design to support multiple 'signalling storm' scenarios.","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"pCR","for":"Approval","abstract":"-","secretary_remarks":"Revision of S2-2402026 Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27620,"status":"not treated","reservation_date":"2024-03-27 09:43:14","uploaded":"2024-04-05 18:14:51","revisionof":"S2-2402026","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2403923.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403938","title":"KI#1 new solution of Direct AI\/ML based positioning with NWDAF assistance.","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"pCR","for":"Approval","abstract":"The contribution proposes a new solution of Direct AIML based positioning with NWDAF assistance for KI#1.","secretary_remarks":"Revised in parallel session to S2-2405085.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27450,"status":"revised","reservation_date":"2024-03-28 05:26:10","uploaded":"2024-04-05 08:29:26","revisionof":"","revisedto":"S2-2405085","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2403938.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403939","title":"KI#3 new solution of NWDAF assisted QoS policy generation.","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"pCR","for":"Approval","abstract":"The contribution proposes a new solution of NWDAF assisted QoS policy generation for KI#3.","secretary_remarks":"Revised in parallel session to S2-2405025.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26720,"status":"revised","reservation_date":"2024-03-28 05:26:10","uploaded":"2024-04-05 08:29:26","revisionof":"","revisedto":"S2-2405025","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2403939.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403961","title":"Solution for KI#1: Training Model to determine location.","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a solution for KI#1.","secretary_remarks":"Revised in parallel session to S2-2405043.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27110,"status":"revised","reservation_date":"2024-03-28 14:34:57","uploaded":"2024-04-05 21:45:02","revisionof":"","revisedto":"S2-2405043","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.1.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2403961.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403962","title":"Solution for KI#2: Vertical Federated learning considering Internal NWDAF architecture.","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a solution for KI#2 and use cases 4 and 5.","secretary_remarks":"Revised in parallel session to S2-2405075.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27360,"status":"revised","reservation_date":"2024-03-28 14:43:30","uploaded":"2024-04-05 21:45:02","revisionof":"","revisedto":"S2-2405075","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.1.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2403962.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403963","title":"Solution for KI#3 Use Case 1: NWDAF Policy Decisions Analytics.","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a solution for KI#3 and use case #1.","secretary_remarks":"Revision of S2-2402023 Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27590,"status":"not treated","reservation_date":"2024-03-28 14:47:00","uploaded":"2024-04-05 21:45:02","revisionof":"S2-2402023","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.1.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2403963.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403964","title":"Solution for KI#1: Training Model to determine location.","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a solution for KI#2 and use cases 4 and 5..","secretary_remarks":"Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27630,"status":"not treated","reservation_date":"2024-03-28 14:51:42","uploaded":"2024-04-05 21:45:02","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.1.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2403964.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403965","title":"KI#2: New Solution on Support for VFL with NWDAF and AF as Participants.","source":"Samsung","contact":"David Gutierrez Estevez","contact-id":70502,"tdoctype":"pCR","for":"Approval","abstract":"This pCR proposes a new solution for KI#2 on Support for VFL with NWDAF and AF as Participants.","secretary_remarks":"Revision of S2-2401971. Revised in parallel session to S2-2405026, merging S2-2404414","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26940,"status":"revised","reservation_date":"2024-03-28 15:05:33","uploaded":"2024-04-05 15:42:33","revisionof":"S2-2401971","revisedto":"S2-2405026","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2403965.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403966","title":"Updates to Terminology.","source":"Samsung","contact":"David Gutierrez Estevez","contact-id":70502,"tdoctype":"pCR","for":"Approval","abstract":"This pCR proposes updates to Terminology.","secretary_remarks":"Revised in parallel session to S2-2405084.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27910,"status":"revised","reservation_date":"2024-03-28 15:08:44","uploaded":"2024-04-05 15:42:33","revisionof":"","revisedto":"S2-2405084","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2403966.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403967","title":"KI#3, New Sol: QoS\/policy enhancements assisted by NWDAF.","source":"Samsung, SK Telecom","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a new solution for AIML_CN KI#3.","secretary_remarks":"Revision of S2-2401969. Revised in parallel session to S2-2405073.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27230,"status":"revised","reservation_date":"2024-03-28 15:11:32","uploaded":"2024-04-05 15:48:56","revisionof":"S2-2401969","revisedto":"S2-2405073","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2403967.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403968","title":"KI#4, New Sol: NWDAF Assisted Network Abnormal Behaviour Mitigation and Prevention .","source":"Samsung","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a new solution for AIML_CN KI#4.","secretary_remarks":"Revision of S2-2402192 Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27640,"status":"not treated","reservation_date":"2024-03-28 15:12:13","uploaded":"2024-04-05 15:48:56","revisionof":"S2-2402192","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2403968.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403990","title":"TR 23.700-84: KI#1 New solution about data collection procedure for LMF-side model training.","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution of data collection for LMF-side model training.","secretary_remarks":"Revised in parallel session to S2-2405086.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27480,"status":"revised","reservation_date":"2024-03-29 07:22:16","uploaded":"2024-03-30 05:35:44","revisionof":"","revisedto":"S2-2405086","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2403990.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403991","title":"TR 23.700-84: EN removal related to the VFL definition.","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"pCR","for":"Approval","abstract":"This pCR propose to remove the EN about feature space of VFL client. Most companies agree that the VFL clients shall have different feature space. Besides, completely different feature space of VFL clients could maximize the generalization performance of","secretary_remarks":"Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27820,"status":"not treated","reservation_date":"2024-03-29 07:22:16","uploaded":"2024-03-30 05:36:42","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2403991.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403992","title":"TR 23.700-84: label definition update and EN removal.","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"pCR","for":"Approval","abstract":"This paper propose to update the definition of label.","secretary_remarks":"Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27830,"status":"not treated","reservation_date":"2024-03-29 07:22:16","uploaded":"2024-03-30 05:36:42","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2403992.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403993","title":"TR 23.700-84: KI#2 Solution about 2-sides VFL inference process.","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution for KI#2 about inference process of VFL","secretary_remarks":"Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27740,"status":"not treated","reservation_date":"2024-03-29 07:22:16","uploaded":"2024-03-30 05:36:42","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2403993.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403994","title":"Solution about 2-sides VFL training process.","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution for KI#2 about training process of VFL","secretary_remarks":"Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27750,"status":"not treated","reservation_date":"2024-03-29 07:22:16","uploaded":"2024-03-30 05:36:42","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2403994.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403995","title":"Solution about NF discovery and selection process of VFL.","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution for KI#2.","secretary_remarks":"Revised in parallel session to S2-2405040.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26970,"status":"revised","reservation_date":"2024-03-29 07:22:16","uploaded":"2024-03-30 05:36:42","revisionof":"","revisedto":"S2-2405040","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2403995.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403996","title":"TR 23.700-84: KI#1 Solution #3 update.","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes label for LMF-side model training.","secretary_remarks":"Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27760,"status":"not treated","reservation_date":"2024-03-29 07:22:16","uploaded":"2024-03-30 05:36:42","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2403996.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403997","title":"TR 23.700-84: VFL Terminology update and 2 EN removal.","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"pCR","for":"Approval","abstract":"This paper propose to remove the VFL active participant and VFL passive participant naming and use server\/client naming in the R18 HFL procedure instead.","secretary_remarks":"Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27810,"status":"not treated","reservation_date":"2024-03-29 07:22:16","uploaded":"2024-03-30 05:36:42","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2403997.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404030","title":"KI#1: New Sol: Transfer Federated Learning based UE Positioning.","source":"NTT DOCOMO","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution based on Transfer Learning technique combined with the Federated Learning approach to train ML model to be used for Direct AI\/ML UE positioning.","secretary_remarks":"Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27520,"status":"not treated","reservation_date":"2024-01-04 06:31:51","uploaded":"2024-04-05 08:34:33","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404030.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404032","title":"KI #3, New Sol: NWDAF QoS Flow Analytics.","source":"NTT DOCOMO","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution for KI#3 where NWDAF provides a new analytics about the parameters of the QoS Flows. This analytics is used by PCF to know the commonly used QoS parameters for a specific UE in a specific area and time; this knowledge is utilized for QoS and policy control by PCF.","secretary_remarks":"Revised in parallel session to S2-2405033.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26740,"status":"revised","reservation_date":"2024-01-04 06:35:11","uploaded":"2024-04-05 08:38:58","revisionof":"","revisedto":"S2-2405033","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404032.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404033","title":"KI#4: New Sol: NWDAF analytics for signalling storm prediction.","source":"NTT DOCOMO","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution for KI#4 where NWDAF provides a new analytics Abnormal Control Plane Signalling Pattern to trigger signalling storm prevention\/mitigation mechanisms in other network entities.","secretary_remarks":"Revision of S2-2402181. Revised in parallel session to S2-2405031.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27650,"status":"revised","reservation_date":"2024-01-04 06:40:04","uploaded":"2024-04-05 08:44:14","revisionof":"S2-2402181","revisedto":"S2-2405031","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404033.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404037","title":"Solution (KI#3): How to evaluate NWDAF-assisted policy control and QoS enhancement.","source":"ETRI","contact":"ChangSik Lee","contact-id":95981,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a solution to address the Key Issue #3: NWDAF-assisted policy control and QoS enhancement.","secretary_remarks":"Revised in parallel session to S2-2405034.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26760,"status":"revised","reservation_date":"2024-01-04 07:53:23","uploaded":"2024-04-05 01:55:46","revisionof":"","revisedto":"S2-2405034","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404037.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404040","title":"Solution to key issue 3: PCC enhancements based on service experience analysis .","source":"OPPO","contact":"Alla Goldner","contact-id":101685,"tdoctype":"pCR","for":"Approval","abstract":"This solution extends service experience analysis to align with MDA provided analytics thus proposes new solution to TR 23.700-84, key issue 3.","secretary_remarks":"Revision of S2-2401924 Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27600,"status":"not treated","reservation_date":"2024-01-04 09:10:09","uploaded":"2024-04-04 14:41:36","revisionof":"S2-2401924","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404040.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404041","title":"Solution to key issue 4: Signalling storm detection and mitigation based on O&M data.","source":"OPPO","contact":"Alla Goldner","contact-id":101685,"tdoctype":"pCR","for":"Approval","abstract":"This solution proposes new solution to TR 23.700-84, key issue 4, based on the inputs, provided by O&M","secretary_remarks":"Revision of S2-2401925. Revised in parallel session to S2-2405088.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27300,"status":"revised","reservation_date":"2024-01-04 09:21:24","uploaded":"2024-04-04 14:41:36","revisionof":"S2-2401925","revisedto":"S2-2405088","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404041.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404042","title":"[DRAFT] LS to SA WG5 on NAS signalling congestion\/signalling storm","source":"OPPO Beijing","contact":"Alla Goldner","contact-id":101685,"tdoctype":"LS out","for":"Approval","abstract":"To: SA WG5","secretary_remarks":"Revision of S2-2401926. Noted in parallel session","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26540,"status":"noted","reservation_date":"2024-01-04 09:23:04","uploaded":"2024-04-04 14:41:36","revisionof":"S2-2401926","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"FS_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_162_Changsha_2024-04\/Docs\/S2-2404042.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404046","title":"KI#3 new solution of enhanced policy control based on PDU Session traffic analytics.","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"pCR","for":"Approval","abstract":"The contribution proposes a new solution of enhanced policy control based on PDU Session traffic analytics for KI#3.","secretary_remarks":"Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27580,"status":"not treated","reservation_date":"2024-01-04 10:37:03","uploaded":"2024-04-05 08:29:26","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404046.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404047","title":"General procedure for Vertical Federated Learning between NWDAF(s) and AF(s) .","source":"China Mobile","contact":"Aihua Li","contact-id":58162,"tdoctype":"pCR","for":"Approval","abstract":"-","secretary_remarks":"Revision of S2-2402215. Revised in parallel session to S2-2405023.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26670,"status":"revised","reservation_date":"2024-01-04 11:54:21","uploaded":"2024-04-05 07:55:58","revisionof":"S2-2402215","revisedto":"S2-2405023","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.1.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404047.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404048","title":"New Solution on NWDAF-assisted LMF trains model and monitor model performance for Direct AI\/ML based positioning.","source":"China Mobile","contact":"Aihua Li","contact-id":58162,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a new solution for Key Issue #1.","secretary_remarks":"Revision of S2-2402225 Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27950,"status":"not treated","reservation_date":"2024-01-04 11:56:30","uploaded":"2024-04-05 07:55:58","revisionof":"S2-2402225","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.1.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404048.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404049","title":"New Solution on NWDAF-assisted for 5GC handling of abnormal network behaviors.","source":"China Mobile","contact":"Aihua Li","contact-id":58162,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a new solution for Key Issue #4.","secretary_remarks":"Revision of S2-2402226 Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27680,"status":"not treated","reservation_date":"2024-01-04 11:58:10","uploaded":"2024-04-05 07:55:58","revisionof":"S2-2402226","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.1.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404049.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404050","title":"VFL terminology definition.","source":"China Mobile","contact":"Aihua Li","contact-id":58162,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes the VFL terminology definition.","secretary_remarks":"Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27840,"status":"not treated","reservation_date":"2024-01-04 12:05:32","uploaded":"2024-04-05 07:55:58","revisionof":"","revisedto":"S2-2406316","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404050.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404092","title":"KI#2, New Solution: VFL-based ML training and Inference.","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"pCR","for":"Approval","abstract":"It is proposed to add a new solution for VFL on training and inference.","secretary_remarks":"Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27770,"status":"not treated","reservation_date":"2024-02-04 09:29:18","uploaded":"2024-04-05 11:46:52","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404092.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404104","title":"NWDAF-assisted policy control with Recommendation logical function.","source":"Huawei, HiSilicon, China Mobile","contact":"Marco Spini","contact-id":8356,"tdoctype":"pCR","for":"Approval","abstract":"It is proposed a new solution for KI#3 on NWDAF-assisted policy control with Recommendation logical function.","secretary_remarks":"Revised in parallel session to S2-2405024.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26700,"status":"revised","reservation_date":"2024-02-04 11:57:02","uploaded":"2024-04-05 07:52:36","revisionof":"","revisedto":"S2-2405024","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404104.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404106","title":"PRU information collection for AIML positioning model training.","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"pCR","for":"Approval","abstract":"It is proposed a new solution for KI#1 on the PRU information collection for AIML positioning model training.","secretary_remarks":"Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27960,"status":"not treated","reservation_date":"2024-02-04 11:57:02","uploaded":"2024-04-05 07:52:36","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404106.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404109","title":"New Solution on MTLF-based model performance monitoring for AI\/ML positioning.","source":"China Mobile","contact":"Aihua Li","contact-id":58162,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a new solution for Key Issue #1.","secretary_remarks":"Revised in parallel session to S2-2405044.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27140,"status":"revised","reservation_date":"2024-02-04 12:05:34","uploaded":"2024-04-05 07:55:58","revisionof":"","revisedto":"S2-2405044","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404109.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404146","title":"Solution for KI#3: NWDAF\/DCCF\/PCF enhancements to support policy recommendations .","source":"ICS","contact":"Morteza Kheirkhah","contact-id":105251,"tdoctype":"pCR","for":"Approval","abstract":"The proposed solution in this document supports KI#3 of TR 23.700-84, UC#1, and UC#2. It extends the NWDAF\/DCCF\/PCF function to support policy recommendations for PCF with optimized data and analytics collection and coordination between all entities and\/or network functions involved in a policy recommendation operation, provided that such policy recommendations may require a myriad of data and analytics and could be quite diverse. PCF determines how policy recommendation operation should be performed, e.g., whether NWDAF and\/or DCCF should assist it. Additionally, PCF provides a set of rules to NWDAF\/DCCF to assist policy recommendation operations.","secretary_remarks":"Merged into S2-2405037","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26780,"status":"merged","reservation_date":"2024-02-04 23:20:10","uploaded":"2024-04-04 22:27:43","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404146.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404169","title":"New Solution for KI#1: Model training and obtaining for AI\/ML based positioning.","source":"China Telecom","contact":"Jiahui LI","contact-id":92933,"tdoctype":"pCR","for":"Approval","abstract":"It is proposed a new solution to support model training and obtaining for AI\/ML based positioning.","secretary_remarks":"Revision of S2-2402435 Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":28000,"status":"not treated","reservation_date":"2024-03-04 07:46:45","uploaded":"2024-04-05 14:14:06","revisionof":"S2-2402435","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404169.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404170","title":"New Solution for KI#4: Registration signalling analytics to support detection and prevention of signalling storm.","source":"China Telecom","contact":"Jiahui LI","contact-id":92933,"tdoctype":"pCR","for":"Approval","abstract":"It is proposed a new solution to support detection and prevention of signalling storm by NWDAF providing a new Analytics ID.","secretary_remarks":"Revision of S2-2402436. Revised in parallel session to S2-2405038.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26880,"status":"revised","reservation_date":"2024-03-04 07:46:45","uploaded":"2024-04-05 14:14:06","revisionof":"S2-2402436","revisedto":"S2-2405038","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404170.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404171","title":"New Solution for KI#2: 5GC Support for Vertical Federated Learning initiated by AF with NWDAF(s).","source":"China Telecom","contact":"Jiahui LI","contact-id":92933,"tdoctype":"pCR","for":"Approval","abstract":"It is proposed a new solution to support AF initiating VFL with one or multiple NWDAF(s).","secretary_remarks":"Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27780,"status":"not treated","reservation_date":"2024-03-04 07:46:45","uploaded":"2024-04-05 14:14:06","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404171.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404185","title":"TR 23.700-84: Clarification and new solutions for KI#2 Sample\/Feature alignment for the VFL.","source":"Sony","contact":"Tao Cui","contact-id":92325,"tdoctype":"pCR","for":"Approval","abstract":"This contribution clarifies part of KI#2 and presents a solution addressing KI#2, focusing on sample\/feature alignment.","secretary_remarks":"Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27790,"status":"not treated","reservation_date":"2024-03-04 08:51:28","uploaded":"2024-04-03 09:03:03","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404185.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404208","title":"KI#1: Update Solution#1 by resolving ENs and merge with Solution 3.","source":"Vivo, Intel, ZTE, NTT DOCOMO, OPPO, Lenovo","contact":"vivian chong","contact-id":93021,"tdoctype":"pCR","for":"Approval","abstract":"Update the solution#1 to solve some Editor s notes, merge the solution 3.","secretary_remarks":"Revised in parallel session to S2-2405020.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26550,"status":"revised","reservation_date":"2024-03-04 13:29:18","uploaded":"2024-04-05 03:45:12","revisionof":"","revisedto":"S2-2405020","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404208.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404209","title":"KI#1: Solution#5 update to solve the Editor s notes.","source":"Vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"pCR","for":"Approval","abstract":"Update the solution#5 to solve the Editor s notes about whether the UE should be aware of the LMF-side AI based positioning is used.","secretary_remarks":"Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27970,"status":"not treated","reservation_date":"2024-03-04 13:29:18","uploaded":"2024-04-05 03:45:12","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404209.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404210","title":"KI#2: New Solution Vertical Federated Learning between NWDAF and AF .","source":"Vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution for KI#2 to support Vertical Federated Learning between NWDAF and AF.","secretary_remarks":"Revision of S2-2401967. Revised in parallel session to S2-2405027.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27000,"status":"revised","reservation_date":"2024-03-04 13:29:18","uploaded":"2024-04-05 03:45:12","revisionof":"S2-2401967","revisedto":"S2-2405027","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404210.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404300","title":"KI#2, New Sol: Vertical Federated Learning between NWDAF and AF.","source":"Tencent, Tencent Cloud","contact":"Yuhang Jia","contact-id":96259,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a new solution addressing KI#2.","secretary_remarks":"Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27850,"status":"not treated","reservation_date":"2024-04-04 04:56:17","uploaded":"2024-04-04 11:14:17","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404300.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404330","title":"New Solution for KI#2 Sample\/Feature alignment and general training procedure for the VFL.","source":"OPPO","contact":"Jingran Chen","contact-id":100820,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution for KI#2 related to the sample\/feature alignment and VFL training procedure.","secretary_remarks":"Revision of S2-2402104. Revised in parallel session to S2-2405022.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26650,"status":"revised","reservation_date":"2024-04-04 07:36:27","uploaded":"2024-04-04 07:46:58","revisionof":"S2-2402104","revisedto":"S2-2405022","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404330.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404331","title":"New Solution for KI#2 General inference procedure for the VFL.","source":"OPPO","contact":"Jingran Chen","contact-id":100820,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution for KI#2 related to the VFL inference procedure.","secretary_remarks":"Revision of S2-2402105 Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27800,"status":"not treated","reservation_date":"2024-04-04 07:38:32","uploaded":"2024-04-04 07:46:58","revisionof":"S2-2402105","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404331.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404332","title":"Solution#5 update to resolve some Editor's note .","source":"OPPO, ZTE, vivo","contact":"Jingran Chen","contact-id":100820,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes the solution update for the solution#5 to resolve some Editor's note.","secretary_remarks":"Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27980,"status":"not treated","reservation_date":"2024-04-04 07:40:47","uploaded":"2024-04-04 07:46:58","revisionof":"","revisedto":"S2-2406074","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404332.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404333","title":"KI#1: Evaluation criteria for KI#1.","source":"OPPO","contact":"Jingran Chen","contact-id":100820,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes the evaluation criteria for the KI#1.","secretary_remarks":"Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27990,"status":"not treated","reservation_date":"2024-04-04 07:42:14","uploaded":"2024-04-04 07:46:58","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404333.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404397","title":"New solution for KI#1 support monitoring the performance of AI model .","source":"Xiaomi","contact":"Jianning(Carry) LIU","contact-id":88587,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a new solution for key issue#1 to support for monitoring the performance of the AI model by reusing the PRU (Positioning Reference Unit) in LCS service.","secretary_remarks":"Revised in parallel session to S2-2405029.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27170,"status":"revised","reservation_date":"2024-04-04 14:22:54","uploaded":"2024-04-05 17:01:21","revisionof":"","revisedto":"S2-2405029","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404397.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404398","title":"New solution for KI#1 support the data collection for AI model training based on authorization .","source":"Xiaomi","contact":"Jianning(Carry) LIU","contact-id":88587,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a new solution for key issue#1 to support for the authorization based on UE subscription in UDM whether the positioning data of the UE can be used for training the AI model before collecting the positioning data by AI model training entity for training the AI model.","secretary_remarks":"Revised in parallel session to S2-2405087.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27530,"status":"revised","reservation_date":"2024-04-04 14:26:07","uploaded":"2024-04-05 17:01:21","revisionof":"","revisedto":"S2-2405087","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404398.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404414","title":"New solution for KI#2: Procedure for VFL initiation and procedure for sample and feature alignment .","source":"Futurewei","contact":"Abbas Kiani","contact-id":96296,"tdoctype":"pCR","for":"Approval","abstract":"Proposal for a new solution for KI#2, Procedure for VFL initiation and procedure for VFL sample and feature alignment","secretary_remarks":"Revision of S2-2402542. Merged into S2-2405026","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27860,"status":"merged","reservation_date":"2024-04-04 14:44:48","uploaded":"2024-04-05 16:05:08","revisionof":"S2-2402542","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404414.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404427","title":"KI#3, New Sol: NWDAF assisted PDU Set assistance information.","source":"MediaTek Inc.","contact":"Mehrdad Shariat","contact-id":97826,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a new Solution for KI#3, Use Case#2 of FS_AIML_CN.","secretary_remarks":"Revision of S2-2402660. Revised in parallel session to S2-2405035.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26790,"status":"revised","reservation_date":"2024-04-04 15:27:48","uploaded":"2024-04-05 15:06:28","revisionof":"S2-2402660","revisedto":"S2-2405035","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404427.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404475","title":"KI#1, New Solution LMF provides AIML based positioning .","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a new solution to KI#1.","secretary_remarks":"Revision of S2-2402267 Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":28010,"status":"not treated","reservation_date":"2024-04-04 18:41:46","uploaded":"2024-04-05 23:06:14","revisionof":"S2-2402267","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404475.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404476","title":"KI#3 New solution PCF as RL Agent and NWDAF as Interpreter.","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a new Sol#X for KI#3 on NWDAF-assisted policy control and QoS enhancement based on having PCF as RL Agent and NWDAF as Interpreter.","secretary_remarks":"Revision of S2-2402264. Revised in parallel session to S2-2405036.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26810,"status":"revised","reservation_date":"2024-04-04 18:41:46","uploaded":"2024-04-05 23:06:14","revisionof":"S2-2402264","revisedto":"S2-2405036","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404476.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404477","title":"KI#2, New Solution - VFL involving NWDAF and AF","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"pCR","for":"Approval","abstract":"Summary of change: It is clarified that the PCF terminates the usage monitoring control that applies for the replaced S-NSSAI, and starts usage monitoring control for the Alternative S-NSSAI, this implies a number of steps, including provisioning of MKs to the SMF for the updated PDU Session or for the updated PCC Rules and storage of UDR of the remaining usage for the MK of the replaced S-NSSAI. The procedure is the same as for existing usage monitor control, as such it is not repeated but references are added.","secretary_remarks":"Revision of S2-2402268. Wrong content. Handle off-line distributed version. Revised in parallel session to S2-2405076.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27390,"status":"revised","reservation_date":"2024-04-04 18:41:46","uploaded":"2024-04-05 22:38:05","revisionof":"S2-2402268","revisedto":"S2-2405076","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404477.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404478","title":"KI#4, New Solution - Analytics-assisted network abnormal behaviour prevention and mitigation.","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a new Sol#X for KI#4 which is about NWDAF enhancements to support network abnormal behvaiours (i.e., Signalling storm) mitigation and prevention.","secretary_remarks":"Revision of S2-2402269 Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27690,"status":"not treated","reservation_date":"2024-04-04 18:41:46","uploaded":"2024-04-05 23:06:14","revisionof":"S2-2402269","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404478.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404506","title":"Use Case on NWDAF-assisted BDT Policy Recommendations.","source":"Lenovo","contact":"Konstantinos Samdanis","contact-id":97370,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a use case related to NWDAF-assisted BDT policy recommendations related to Key Issue #3.","secretary_remarks":"Revision of S2-2402666 Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27560,"status":"not treated","reservation_date":"2024-04-04 20:24:26","uploaded":"2024-04-05 16:09:53","revisionof":"S2-2402666","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404506.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404507","title":"New solution on BDT Policy Recommendations.","source":"Lenovo","contact":"Konstantinos Samdanis","contact-id":97370,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a solution about BDT policy recommendation related to Key Issue #3.","secretary_remarks":"Revision of S2-2402666. Revised in parallel session to S2-2405320.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27270,"status":"revised","reservation_date":"2024-04-04 20:27:49","uploaded":"2024-04-05 16:09:36","revisionof":"S2-2402666","revisedto":"S2-2405320","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404507.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404510","title":"Discussion on R19 AIML_CN KI#4: Signalling Storm Detection, Prediction, Mitigation and Prevention","source":"SK Telecom, China Mobile, China Telecom, Dish Network, ETRI, KDDI, KPN N.V., NTT DOCOMO, Lenovo, LG Uplus, Rakuten Mobile, Samsung, TOYOTA MOTOR, vivo","contact":"DongJin Lee","contact-id":65921,"tdoctype":"discussion","for":"Discussion","abstract":"Discussion on R19 AIML_CN KI#4 (Multi company joint contribution)","secretary_remarks":"Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27700,"status":"not treated","reservation_date":"2024-04-04 22:27:38","uploaded":"2024-04-05 13:20:18","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404510.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404511","title":"KI#4, New Solution: NWDAF-assisted Network Abnormal Behaviour Mitigation and Prevention.","source":"SK Telecom, China Mobile, Dish Network, ETRI, KDDI, KPN N.V., Lenovo, LG Uplus, Rakuten Mobile, Samsung, TOYOTA MOTOR CORPORATION, vivo","contact":"DongJin Lee","contact-id":65921,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a new solution for FS_AIML_CN KI#4.","secretary_remarks":"Revision of S2-2402750. Revised in parallel session to S2-2405021.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26600,"status":"revised","reservation_date":"2024-04-04 22:30:22","uploaded":"2024-04-05 13:20:18","revisionof":"S2-2402750","revisedto":"S2-2405021","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404511.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404525","title":"Solution (KI#2): How to support Vertical Federated Learning between NWDAF and AF.","source":"ETRI","contact":"Jihoon Sung","contact-id":88970,"tdoctype":"pCR","for":"Approval","abstract":"This pCR proposes a solution for supporting VFL between NWDAF and AF to address Key Issue #2: 5GC Support for Vertical Federated Learning.","secretary_remarks":"Revision of S2-2402365. Revised in parallel session to S2-2405030.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27430,"status":"revised","reservation_date":"2024-05-04 01:50:53","uploaded":"2024-04-05 12:51:27","revisionof":"S2-2402365","revisedto":"S2-2405030","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.1.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404525.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404534","title":"KI#2: New Solution for support registration and discovery enhancement for Vertical Federated Learning.","source":"KDDI","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"pCR","for":"Approval","abstract":"This contribution is resubmission of solution for Key Issue #2 and use case#5 to study supporting Vertical Federated Learning in 5GS in TS 23.700-81.","secretary_remarks":"Revision of S2-2402156. Revised in parallel session to S2-2405077.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27880,"status":"revised","reservation_date":"2024-05-04 02:20:10","uploaded":"2024-04-05 04:55:56","revisionof":"S2-2402156","revisedto":"S2-2405077","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404534.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404535","title":"KI#2: New Solution for support Vertical Federated Learning model training and inference between NWDAF and AF.","source":"KDDI","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"pCR","for":"Approval","abstract":"This contribution is resubmission of solution for Key Issue #2 and use case#5 to study supporting Vertical Federated Learning in 5GS in TS 23.700-81.","secretary_remarks":"Revision of S2-2402157. Revised in parallel session to S2-2405028.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27040,"status":"revised","reservation_date":"2024-05-04 02:22:16","uploaded":"2024-04-05 04:55:56","revisionof":"S2-2402157","revisedto":"S2-2405028","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404535.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404539","title":"[DRAFT] LS on data collection to enable ML model training and inference in 5GC for Direct AI\/ML based positioning","source":"vivo, Intel","contact":"vivian chong","contact-id":93021,"tdoctype":"LS out","for":"Approval","abstract":"This LS OUT is to ask RAN WG1, RAN WG2 to provide feedback on the two questions about data collection for Direct AI\/ML based positioning","secretary_remarks":"Revision of S2-2402356. Revised in parallel session to S2-2405032.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26470,"status":"revised","reservation_date":"2024-05-04 03:16:26","uploaded":"2024-04-05 03:45:12","revisionof":"S2-2402356","revisedto":"S2-2405032","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG1, RAN WG2","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404539.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404589","title":"KI#2, New Sol: Inference procedure for the Vertical Federated Learning between NWDAF(s) and AF(s).","source":"LG Electronics","contact":"Jaewoo Kim","contact-id":92249,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes to New Solution to KI#2 of FS_AIML_CN.","secretary_remarks":"Revised in parallel session to S2-2405041.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27070,"status":"revised","reservation_date":"2024-05-04 06:15:34","uploaded":"2024-04-05 12:15:39","revisionof":"","revisedto":"S2-2405041","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404589.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404602","title":"23.700-84: KI#1 clean up the EN for solution #6.","source":"Qualcomm Incorporated, Ericsson","contact":"Juan Zhang","contact-id":73274,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes to solve the EN for solution #6.","secretary_remarks":"Revised in parallel session to S2-2405045.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27200,"status":"revised","reservation_date":"2024-05-04 07:25:12","uploaded":"2024-04-05 07:49:35","revisionof":"","revisedto":"S2-2405045","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404602.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404613","title":"New Solution for NWDAF-assisted URSP rules enhancement.","source":"China Mobile","contact":"Aihua Li","contact-id":58162,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution for NWDAF-assisted URSP rules enhancement in PCF for KI#3.","secretary_remarks":"Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27610,"status":"not treated","reservation_date":"2024-05-04 07:53:49","uploaded":"2024-04-05 07:55:58","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404613.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404614","title":"Solution (KI#4): New Analytics of UE Signalling Patterns for Network Abnormal Behaviour.","source":"ETRI","contact":"JongGwan An","contact-id":102599,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a solution to address the Key Issue #4: NWDAF enhancements to support network abnormal behaviours (i.e., Signalling storm) mitigation and prevention","secretary_remarks":"Revision of S2-2402462 Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27710,"status":"not treated","reservation_date":"2024-05-04 07:58:37","uploaded":"2024-04-05 08:02:42","revisionof":"S2-2402462","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.1.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404614.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404631","title":"KI#4, New Solution: NWDAF Assisted Detection and Mitigation of Signalling Storm.","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"pCR","for":"Approval","abstract":"It proposes a new solution for NWDAF assisted detection and mitigation of signalling storm.","secretary_remarks":"Revised in parallel session to S2-2405074.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27330,"status":"revised","reservation_date":"2024-05-04 08:44:48","uploaded":"2024-04-05 13:19:48","revisionof":"","revisedto":"S2-2405074","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404631.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404727","title":"KI#2: New Solution: Vertical Federated Learning for customised QoE .","source":"Apple","contact":"Sudeep M Vamanan","contact-id":103491,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a new solution to the KI#2 in 23.700-84 v0.2.0","secretary_remarks":"Revised in parallel session to S2-2405042.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27090,"status":"revised","reservation_date":"2024-05-04 10:21:31","uploaded":"2024-04-05 20:14:33","revisionof":"","revisedto":"S2-2405042","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404727.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404744","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":"To: RAN WG1. CC: RAN WG2, TSG RAN. Attachments: 3GPP TR 23700-84 (v0.2.0)","secretary_remarks":"Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26520,"status":"not treated","reservation_date":"2024-05-04 10:50:39","uploaded":"2024-04-05 18:14:51","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG 1","Cc":"RAN WG2, TSG RAN","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404744.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404752","title":"KI#4: New Solution SBA signalling storm mitigation and prevention based on NWDAF detection and prediction.","source":"Vivo","contact":"Li Hu","contact-id":104884,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution for KI#4 to support Signalling storm into core network mitigation and prevention based on NWDAF detection and prediction.","secretary_remarks":"Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27720,"status":"not treated","reservation_date":"2024-05-04 10:55:48","uploaded":"2024-04-05 11:03:51","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404752.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404753","title":"KI#4: New Solution NAS signaling storm mitigation and prevention based on NWDAF detection and prediction.","source":"Vivo","contact":"Li Hu","contact-id":104884,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution for KI#4 to support NAS signalling storm mitigation and prevention based on NWDAF detection and prediction.","secretary_remarks":"Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27730,"status":"not treated","reservation_date":"2024-05-04 10:55:48","uploaded":"2024-04-05 11:03:51","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404753.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404943","title":"KI#2, New Solution, VFL, Feature and sampling alignment .","source":"Interdigital Inc.","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes the solution for Key Issue. 2.","secretary_remarks":"Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27870,"status":"not treated","reservation_date":"2024-05-04 16:36:42","uploaded":"2024-04-05 18:04:40","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404943.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404944","title":"KI#1, New Solution, Handling of Direct AIML Positioning .","source":"InterDigital Inc.","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a new solution for Key Issue #1.","secretary_remarks":"Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":28020,"status":"not treated","reservation_date":"2024-05-04 16:42:05","uploaded":"2024-04-05 18:04:40","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404944.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404949","title":"KI#3, New Solution, Sustainability-based QoS policies determination .","source":"InterDigital Inc.","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"pCR","for":"Approval","abstract":"This p-CR proposes a new solution for Key issue 3 for NWDAF assistance to QoS policies determination.","secretary_remarks":"Revised in parallel session to S2-2405037, merging S2-2404146","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26840,"status":"revised","reservation_date":"2024-05-04 16:53:17","uploaded":"2024-04-05 18:04:40","revisionof":"","revisedto":"S2-2405037","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404949.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2404994","title":"[DRAFT] LS on Input Data for LMF sided model training","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"LS out","for":"Approval","abstract":"To: RAN WG1, RAN WG2","secretary_remarks":"Not Handled","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26530,"status":"not treated","reservation_date":"2024-05-04 21:51:07","uploaded":"2024-04-05 22:34:37","revisionof":"","revisedto":"","release":"Rel-18","crspec":"","crspecversion":"","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG1, RAN WG2","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2404994.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405020","title":"KI#1: Update Solution#1 by resolving ENs and merge with Solution 3.","source":"Vivo, Intel, ZTE, NTT DOCOMO, OPPO, Lenovo, China Telecom","contact":"vivian chong","contact-id":93021,"tdoctype":"pCR","for":"Approval","abstract":"Update the solution#1 to solve some Editor s notes, merge the solution 3.","secretary_remarks":"Revision of S2-2404208. Revised in parallel session to S2-2405321.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26560,"status":"revised","reservation_date":"2024-04-22 09:36:39","uploaded":"2024-04-22 10:01:24","revisionof":"S2-2404208","revisedto":"S2-2405321","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405020.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405021","title":"KI#4, New Solution: NWDAF-assisted Network Abnormal Behaviour Mitigation and Prevention.","source":"SK Telecom, China Mobile, Dish Network, ETRI, KDDI, KPN N.V., Lenovo, LG Uplus, Rakuten Mobile, Samsung, TOYOTA MOTOR CORPORATION, vivo, OPPO","contact":"DongJin Lee","contact-id":65921,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a new solution for FS_AIML_CN KI#4.","secretary_remarks":"Revision of S2-2404511. Revised in parallel session to S2-2405331.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26610,"status":"revised","reservation_date":"2024-04-22 09:36:39","uploaded":"2024-04-22 10:01:24","revisionof":"S2-2404511","revisedto":"S2-2405331","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405021.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405022","title":"New Solution for KI#2 Sample\/Feature alignment and general training procedure for the VFL.","source":"OPPO, China Telecom, ZTE, Sony, KDDI, ETRI, Interdigital Inc.","contact":"Jingran Chen","contact-id":100820,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution for KI#2 related to the sample\/feature alignment and VFL training procedure.","secretary_remarks":"Revision of S2-2404330. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26660,"status":"approved","reservation_date":"2024-04-22 09:36:39","uploaded":"2024-04-22 10:01:16","revisionof":"S2-2404330","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405022.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405023","title":"General procedure for NWDAF initiated Vertical Federated Learning between NWDAF(s) and AF(s) .","source":"China Mobile,OPPO,KDDI, ZTE","contact":"Aihua Li","contact-id":58162,"tdoctype":"pCR","for":"Approval","abstract":"-","secretary_remarks":"Revision of S2-2404047. Revised in parallel session to S2-2405335.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26680,"status":"revised","reservation_date":"2024-04-22 09:36:40","uploaded":"2024-04-22 10:01:24","revisionof":"S2-2404047","revisedto":"S2-2405335","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.1.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405023.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405024","title":"NWDAF-assisted policy control with Recommendation logical function.","source":"Huawei, HiSilicon, China Mobile, Lenovo, China Telecom","contact":"Marco Spini","contact-id":8356,"tdoctype":"pCR","for":"Approval","abstract":"It is proposed a new solution for KI#3 on NWDAF-assisted policy control with Recommendation logical function.","secretary_remarks":"Revision of S2-2404104. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26710,"status":"approved","reservation_date":"2024-04-22 09:36:40","uploaded":"2024-04-22 10:01:16","revisionof":"S2-2404104","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405024.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405025","title":"KI#3 new solution of NWDAF assisted QoS policy generation.","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"pCR","for":"Approval","abstract":"The contribution proposes a new solution of NWDAF assisted QoS policy generation for KI#3.","secretary_remarks":"Revision of S2-2403939. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26730,"status":"approved","reservation_date":"2024-04-22 09:36:40","uploaded":"2024-04-22 10:01:16","revisionof":"S2-2403939","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405025.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405026","title":"KI#2: New Solution on Support for VFL with NWDAF and AF as Participants.","source":"Samsung, Futurewei","contact":"David Gutierrez Estevez","contact-id":70502,"tdoctype":"pCR","for":"Approval","abstract":"This pCR proposes a new solution for KI#2 on Support for VFL with NWDAF and AF as Participants.","secretary_remarks":"Revision of S2-2403965. Revised in parallel session to S2-2405336, merging S2-2404414.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26950,"status":"revised","reservation_date":"2024-04-22 09:36:40","uploaded":"2024-04-22 10:01:24","revisionof":"S2-2403965","revisedto":"S2-2405336","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405026.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405027","title":"KI#2: New Solution Vertical Federated Learning .","source":"Vivo, Huawei, HiSilicon, Tencent, Tencent Cloud","contact":"vivian chong","contact-id":93021,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution for KI#2 to support Vertical Federated Learning.","secretary_remarks":"Revision of S2-2404210. Revised in parallel session to S2-2405322.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27010,"status":"revised","reservation_date":"2024-04-22 09:36:41","uploaded":"2024-04-22 10:01:24","revisionof":"S2-2404210","revisedto":"S2-2405322","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405027.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405028","title":"KI#2: New Solution for support Vertical Federated Learning model training and inference between NWDAF and AF.","source":"KDDI","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"pCR","for":"Approval","abstract":"This contribution is resubmission of solution for Key Issue #2 and use case#5 to study supporting Vertical Federated Learning in 5GS in TS 23.700-81.","secretary_remarks":"Revision of S2-2404535. Revised in parallel session to S2-2405338.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27050,"status":"revised","reservation_date":"2024-04-22 09:36:41","uploaded":"2024-04-22 10:01:24","revisionof":"S2-2404535","revisedto":"S2-2405338","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405028.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405029","title":"New solution for KI#1 support monitoring the performance of AI model .","source":"Xiaomi, Huawei","contact":"Jianning(Carry) LIU","contact-id":88587,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a new solution for key issue#1 to support for monitoring the performance of the AI model by reusing the PRU (Positioning Reference Unit) in LCS service.","secretary_remarks":"Revision of S2-2404397. Revised in parallel session to S2-2405341.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27180,"status":"revised","reservation_date":"2024-04-22 09:36:41","uploaded":"2024-04-22 10:01:24","revisionof":"S2-2404397","revisedto":"S2-2405341","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405029.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405030","title":"Solution (KI#2): How to support Vertical Federated Learning between NWDAF and AF.","source":"ETRI","contact":"Jihoon Sung","contact-id":88970,"tdoctype":"pCR","for":"Approval","abstract":"This pCR proposes a solution for supporting VFL between NWDAF and AF to address Key Issue #2: 5GC Support for Vertical Federated Learning.","secretary_remarks":"Revision of S2-2404525. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27440,"status":"approved","reservation_date":"2024-04-22 09:36:41","uploaded":"2024-04-22 10:01:16","revisionof":"S2-2404525","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.1.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405030.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405031","title":"KI#4: New Sol: NWDAF analytics for signalling storm prediction.","source":"NTT DOCOMO, Vivo, Lenovo, Nokia","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution for KI#4 where NWDAF provides a new analytics Abnormal Control Plane Signalling Pattern to trigger signalling storm prevention\/mitigation mechanisms in other network entities.","secretary_remarks":"Revision of S2-2404033. Revised in parallel session to S2-2405566.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27660,"status":"revised","reservation_date":"2024-04-22 09:36:41","uploaded":"2024-04-22 10:01:25","revisionof":"S2-2404033","revisedto":"S2-2405566","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405031.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405032","title":"[DRAFT] LS on data collection to enable ML model training and inference in 5GC for Direct AI\/ML based positioning","source":"vivo, Intel","contact":"vivian chong","contact-id":93021,"tdoctype":"LS out","for":"Approval","abstract":"This LS OUT is to ask RAN WG1, RAN WG2 to provide feedback on the two questions about data collection for Direct AI\/ML based positioning","secretary_remarks":"Revision of S2-2404539. Revised in parallel session to S2-2405578.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26480,"status":"revised","reservation_date":"2024-04-22 09:36:41","uploaded":"2024-04-22 10:01:25","revisionof":"S2-2404539","revisedto":"S2-2405578","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG1, RAN WG2","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405032.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405033","title":"KI #3, New Sol: NWDAF QoS Flow Analytics.","source":"NTT DOCOMO, CATT","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution for KI#3 where NWDAF provides a new analytics about the parameters of the QoS Flows. This analytics in combination with other analytics such as Observed Service Experience and\/or QoS Sustainability Analytics maybe use","secretary_remarks":"Revision of S2-2404032. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26750,"status":"approved","reservation_date":"2024-04-22 09:36:42","uploaded":"2024-04-22 10:01:16","revisionof":"S2-2404032","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405033.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405034","title":"Solution (KI#3): How to evaluate NWDAF-assisted policy control and QoS enhancement.","source":"ETRI","contact":"ChangSik Lee","contact-id":95981,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a solution to address the Key Issue #3: NWDAF-assisted policy control and QoS enhancement.","secretary_remarks":"Revision of S2-2404037. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26770,"status":"approved","reservation_date":"2024-04-22 09:36:42","uploaded":"2024-04-22 10:01:16","revisionof":"S2-2404037","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405034.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405035","title":"KI#3, New Sol: NWDAF assisted PDU Set assistance information.","source":"MediaTek Inc., Lenovo","contact":"Mehrdad Shariat","contact-id":97826,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a new Solution for KI#3, Use Case#2 of FS_AIML_CN.","secretary_remarks":"Revision of S2-2404427. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26800,"status":"approved","reservation_date":"2024-04-22 09:36:42","uploaded":"2024-04-22 10:01:16","revisionof":"S2-2404427","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405035.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405036","title":"KI#3 New solution PCF as RL Agent and NWDAF as Interpreter enhancement.","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a new Sol#X for KI#3 on NWDAF-assisted policy control and QoS enhancement based on having PCF as RL Agent and NWDAF as Interpreter.","secretary_remarks":"Revision of S2-2404476. Revised in parallel session to S2-2405332.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26820,"status":"revised","reservation_date":"2024-04-22 09:36:42","uploaded":"2024-04-22 10:01:24","revisionof":"S2-2404476","revisedto":"S2-2405332","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405036.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405037","title":"KI#3, New Solution, Sustainability-based QoS policies determination .","source":"InterDigital Inc., OPPO, ICS?","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"pCR","for":"Approval","abstract":"This p-CR proposes a new solution for Key issue 3 for NWDAF assistance to QoS policies determination.","secretary_remarks":"Revision of S2-2404949, merging S2-2404146. Revised in parallel session to S2-2405333","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26850,"status":"revised","reservation_date":"2024-04-22 09:36:43","uploaded":"2024-04-22 10:01:24","revisionof":"S2-2404949","revisedto":"S2-2405333","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405037.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405038","title":"New Solution for KI#4: Registration signalling analytics to support detection and prevention of signalling storm.","source":"China Telecom, OPPO","contact":"Jiahui LI","contact-id":92933,"tdoctype":"pCR","for":"Approval","abstract":"It is proposed a new solution to support detection and prevention of signalling storm by NWDAF providing a new Analytics ID.","secretary_remarks":"Revision of S2-2404170. Revised in parallel session to S2-2405334.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26890,"status":"revised","reservation_date":"2024-04-22 09:36:43","uploaded":"2024-04-22 10:01:24","revisionof":"S2-2404170","revisedto":"S2-2405334","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405038.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405039","title":"Solution for KI#2: Support for vertical federated learning: Model Training and Inference.","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"pCR","for":"Approval","abstract":"This solution includes the solution presented in S2-2402205 that proposes sample alignment before VFL. This solution additionally includes support for distributed inference.","secretary_remarks":"Revision of S2-2403921. Revised in parallel session to S2-2405558.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26920,"status":"revised","reservation_date":"2024-04-22 09:36:43","uploaded":"2024-04-22 10:01:24","revisionof":"S2-2403921","revisedto":"S2-2405558","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405039.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405040","title":"Solution about NF discovery and selection process of VFL.","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution for KI#2.","secretary_remarks":"Revision of S2-2403995. Revised in parallel session to S2-2405328.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26980,"status":"revised","reservation_date":"2024-04-22 09:36:43","uploaded":"2024-04-22 10:01:24","revisionof":"S2-2403995","revisedto":"S2-2405328","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405040.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405041","title":"KI#2, New Sol: Inference procedure for the Vertical Federated Learning between NWDAF(s) and AF(s).","source":"LG Electronics","contact":"Jaewoo Kim","contact-id":92249,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes to New Solution to KI#2 of FS_AIML_CN.","secretary_remarks":"Revision of S2-2404589. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27080,"status":"approved","reservation_date":"2024-04-22 09:36:43","uploaded":"2024-04-22 10:01:16","revisionof":"S2-2404589","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405041.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405042","title":"KI#2: New Solution: Vertical Federated Learning for customised QoE .","source":"Apple","contact":"Sudeep M Vamanan","contact-id":103491,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a new solution to the KI#2 in 23.700-84 v0.2.0","secretary_remarks":"Revision of S2-2404727. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27100,"status":"approved","reservation_date":"2024-04-22 09:36:44","uploaded":"2024-04-22 10:01:16","revisionof":"S2-2404727","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405042.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405043","title":"Solution for KI#1: Training Model to determine location.","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a solution for KI#1.","secretary_remarks":"Revision of S2-2403961. Revised in parallel session to S2-2405339.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27120,"status":"revised","reservation_date":"2024-04-22 09:36:44","uploaded":"2024-04-22 10:01:24","revisionof":"S2-2403961","revisedto":"S2-2405339","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.1.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405043.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405044","title":"New Solution on MTLF-based model performance monitoring for AI\/ML positioning.","source":"China Mobile","contact":"Aihua Li","contact-id":58162,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a new solution for Key Issue #1.","secretary_remarks":"Revision of S2-2404109. Revised in parallel session to S2-2405340.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27150,"status":"revised","reservation_date":"2024-04-22 09:36:44","uploaded":"2024-04-22 10:01:24","revisionof":"S2-2404109","revisedto":"S2-2405340","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405044.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405045","title":"23.700-84: KI#1 clean up the EN for solution #6.","source":"Qualcomm Incorporated, Ericsson","contact":"Juan Zhang","contact-id":73274,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes to solve the EN for solution #6.","secretary_remarks":"Revision of S2-2404602. Revised in parallel session to S2-2405342.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27210,"status":"revised","reservation_date":"2024-04-22 09:36:44","uploaded":"2024-04-22 10:01:24","revisionof":"S2-2404602","revisedto":"S2-2405342","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405045.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405073","title":"KI#3, New Sol: QoS\/policy enhancements assisted by NWDAF.","source":"Samsung, SK Telecom","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a new solution for AIML_CN KI#3.","secretary_remarks":"Revision of S2-2403967. Revised in parallel session to S2-2405343.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27240,"status":"revised","reservation_date":"2024-04-22 09:36:54","uploaded":"2024-04-22 10:01:24","revisionof":"S2-2403967","revisedto":"S2-2405343","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405073.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405074","title":"KI#4, New Solution: NWDAF Assisted Detection and Mitigation of Signalling Storm.","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"pCR","for":"Approval","abstract":"It proposes a new solution for NWDAF assisted detection and mitigation of signalling storm.","secretary_remarks":"Revision of S2-2404631. Revised in parallel session to S2-2405346.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27340,"status":"revised","reservation_date":"2024-04-22 09:36:54","uploaded":"2024-04-22 10:01:24","revisionof":"S2-2404631","revisedto":"S2-2405346","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405074.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405075","title":"Solution for KI#2: Vertical Federated learning considering Internal NWDAF architecture.","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a solution for KI#2 and use cases 4 and 5.","secretary_remarks":"Revision of S2-2403962. Revised in parallel session to S2-2405347.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27370,"status":"revised","reservation_date":"2024-04-22 09:36:54","uploaded":"2024-04-22 10:01:24","revisionof":"S2-2403962","revisedto":"S2-2405347","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.1.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405075.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405076","title":"KI#2, new Solution: VFL involving NWDAF and AF.","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a new solution to KI#2.","secretary_remarks":"Revision of S2-2404477. Revised in parallel session to S2-2405349.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27400,"status":"revised","reservation_date":"2024-04-22 09:36:54","uploaded":"2024-04-22 10:01:24","revisionof":"S2-2404477","revisedto":"S2-2405349","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405076.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405077","title":"KI#2: New Solution for support registration and discovery enhancement for Vertical Federated Learning.","source":"KDDI","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"pCR","for":"Approval","abstract":"This contribution is resubmission of solution for Key Issue #2 and use case#5 to study supporting Vertical Federated Learning in 5GS in TS 23.700-81.","secretary_remarks":"Revision of S2-2404534. Revised in parallel session to S2-2405562.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27890,"status":"revised","reservation_date":"2024-04-22 09:36:54","uploaded":"2024-04-22 10:01:24","revisionof":"S2-2404534","revisedto":"S2-2405562","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405077.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405084","title":"Updates to Terminology.","source":"Samsung","contact":"David Gutierrez Estevez","contact-id":70502,"tdoctype":"pCR","for":"Approval","abstract":"This pCR proposes updates to Terminology.","secretary_remarks":"Revision of S2-2403966. Revised in parallel session to S2-2405348.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27920,"status":"revised","reservation_date":"2024-04-22 09:37:00","uploaded":"2024-04-22 10:01:25","revisionof":"S2-2403966","revisedto":"S2-2405348","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405084.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405085","title":"KI#1 new solution of Direct AI\/ML based positioning with NWDAF assistance.","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"pCR","for":"Approval","abstract":"The contribution proposes a new solution of Direct AIML based positioning with NWDAF assistance for KI#1.","secretary_remarks":"Revision of S2-2403938. Revised in parallel session to S2-2405563.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27460,"status":"revised","reservation_date":"2024-04-22 09:37:00","uploaded":"2024-04-22 10:01:25","revisionof":"S2-2403938","revisedto":"S2-2405563","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405085.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405086","title":"TR 23.700-84: KI#1 New solution about data collection procedure for LMF-side model training.","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution of data collection for LMF-side model training.","secretary_remarks":"Revision of S2-2403990. Revised in parallel session to S2-2405350.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27490,"status":"revised","reservation_date":"2024-04-22 09:37:00","uploaded":"2024-04-22 10:01:25","revisionof":"S2-2403990","revisedto":"S2-2405350","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405086.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405087","title":"New solution for KI#1 support the data collection for AI model training based on authorization .","source":"Xiaomi","contact":"Jianning(Carry) LIU","contact-id":88587,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a new solution for key issue#1 to support for the authorization based on UE subscription in UDM whether the positioning data of the UE can be used for training the AI model before collecting the positioning data by AI model training en","secretary_remarks":"Revision of S2-2404398. Revised in parallel session to S2-2405565.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27540,"status":"revised","reservation_date":"2024-04-22 09:37:01","uploaded":"2024-04-22 10:01:25","revisionof":"S2-2404398","revisedto":"S2-2405565","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405087.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405088","title":"Solution to key issue 4: Signalling storm detection and mitigation based on O&M data.","source":"OPPO","contact":"Alla Goldner","contact-id":101685,"tdoctype":"pCR","for":"Approval","abstract":"This solution proposes new solution to TR 23.700-84, key issue 4, based on the inputs, provided by O&M. This solution should be taken as a partial input for overall analytics input relevant for signaling storm detection, prevention and mitigation.","secretary_remarks":"Revision of S2-2404041. Revised in parallel session to S2-2405345.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27310,"status":"revised","reservation_date":"2024-04-22 09:37:01","uploaded":"2024-04-22 10:01:25","revisionof":"S2-2404041","revisedto":"S2-2405345","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405088.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405320","title":"New solution on BDT Policy Recommendations.","source":"Lenovo","contact":"Konstantinos Samdanis","contact-id":97370,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a solution about BDT policy recommendation related to Key Issue #3.","secretary_remarks":"Revision of S2-2404507. Revised in parallel session to S2-2405344.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27280,"status":"revised","reservation_date":"2024-04-22 09:39:06","uploaded":"2024-04-22 10:01:22","revisionof":"S2-2404507","revisedto":"S2-2405344","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405320.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405321","title":"KI#1: Update Solution#1 by resolving ENs and merge with Solution 3.","source":"Vivo, Intel, ZTE, NTT DOCOMO, OPPO, Lenovo, China Telecom","contact":"vivian chong","contact-id":93021,"tdoctype":"pCR","for":"Approval","abstract":"Update the solution#1 to solve some Editor s notes, merge the solution 3.","secretary_remarks":"Revision of S2-2405020. Revised in parallel session to S2-2405330.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26570,"status":"revised","reservation_date":"2024-04-22 09:39:06","uploaded":"2024-04-22 10:01:22","revisionof":"S2-2405020","revisedto":"S2-2405330","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405321.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405322","title":"KI#2: New Solution Vertical Federated Learning .","source":"Vivo, Huawei, HiSilicon, Tencent, Tencent Cloud","contact":"vivian chong","contact-id":93021,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution for KI#2 to support Vertical Federated Learning.","secretary_remarks":"Revision of S2-2405027. Revised in parallel session to S2-2405337.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27020,"status":"revised","reservation_date":"2024-04-22 09:39:07","uploaded":"2024-04-22 10:01:22","revisionof":"S2-2405027","revisedto":"S2-2405337","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405322.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405328","title":"Solution about NF discovery and selection process of VFL.","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution for KI#2.","secretary_remarks":"Revision of S2-2405040. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26990,"status":"approved","reservation_date":"2024-04-22 09:39:08","uploaded":"2024-04-22 10:01:16","revisionof":"S2-2405040","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405328.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405330","title":"KI#1: Update Solution#1 .","source":"Vivo, Intel, ZTE, NTT DOCOMO, OPPO, Lenovo, China Telecom","contact":"vivian chong","contact-id":93021,"tdoctype":"pCR","for":"Approval","abstract":"Update the solution#1 to solve some Editor s notes, merge the solution 3.","secretary_remarks":"Revision of S2-2405321. Revised in parallel session to S2-2405573.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26580,"status":"revised","reservation_date":"2024-04-22 09:39:08","uploaded":"2024-04-22 10:01:22","revisionof":"S2-2405321","revisedto":"S2-2405573","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405330.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405331","title":"KI#4, New Solution: NWDAF-assisted Network Abnormal Behaviour Mitigation and Prevention.","source":"SK Telecom, China Mobile, Dish Network, ETRI, KDDI, KPN N.V., Lenovo, LG Uplus, Rakuten Mobile, Samsung, TOYOTA MOTOR CORPORATION, vivo, OPPO, NTT DOCOMO","contact":"DongJin Lee","contact-id":65921,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a new solution for FS_AIML_CN KI#4.","secretary_remarks":"Revision of S2-2405021. Revised in parallel session to S2-2405559.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26620,"status":"revised","reservation_date":"2024-04-22 09:39:09","uploaded":"2024-04-22 10:01:22","revisionof":"S2-2405021","revisedto":"S2-2405559","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405331.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405332","title":"KI#3 New solution PCF as RL Agent and NWDAF as Interpreter enhancement.","source":"Ericsson, Interdigital","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a new Sol#X for KI#3 on NWDAF-assisted policy control and QoS enhancement based on having PCF as RL Agent and NWDAF as Interpreter.","secretary_remarks":"Revision of S2-2405036. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26830,"status":"approved","reservation_date":"2024-04-22 09:39:09","uploaded":"2024-04-22 10:01:16","revisionof":"S2-2405036","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405332.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405333","title":"KI#3, New Solution, Sustainability-based QoS policies determination .","source":"InterDigital Inc., OPPO,ICS","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"pCR","for":"Approval","abstract":"This p-CR proposes a new solution for Key issue 3 for NWDAF assistance to QoS policies determination.","secretary_remarks":"Revision of S2-2405037. Revised in parallel session to S2-2405575.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26860,"status":"revised","reservation_date":"2024-04-22 09:39:09","uploaded":"2024-04-22 10:01:22","revisionof":"S2-2405037","revisedto":"S2-2405575","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405333.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405334","title":"New Solution for KI#4: Registration signalling analytics to support detection and prevention of signalling storm.","source":"China Telecom, OPPO, Samsung","contact":"Jiahui LI","contact-id":92933,"tdoctype":"pCR","for":"Approval","abstract":"It is proposed a new solution to support detection and prevention of signalling storm by NWDAF providing a new Analytics ID.","secretary_remarks":"Revision of S2-2405038. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26900,"status":"approved","reservation_date":"2024-04-22 09:39:09","uploaded":"2024-04-22 10:01:16","revisionof":"S2-2405038","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405334.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405335","title":"General procedure for NWDAF initiated Vertical Federated Learning between NWDAF(s) and AF(s) .","source":"China Mobile,OPPO,KDDI, ZTE","contact":"Aihua Li","contact-id":58162,"tdoctype":"pCR","for":"Approval","abstract":"-","secretary_remarks":"Revision of S2-2405023. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26690,"status":"approved","reservation_date":"2024-04-22 09:39:09","uploaded":"2024-04-22 10:01:16","revisionof":"S2-2405023","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.1.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405335.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405336","title":"KI#2: New Solution on Support for VFL with NWDAF and AF as Participants.","source":"Samsung, Futurewei","contact":"David Gutierrez Estevez","contact-id":70502,"tdoctype":"pCR","for":"Approval","abstract":"This pCR proposes a new solution for KI#2 on Support for VFL with NWDAF and AF as Participants.","secretary_remarks":"Revision of S2-2405026. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26960,"status":"approved","reservation_date":"2024-04-22 09:39:09","uploaded":"2024-04-22 10:01:16","revisionof":"S2-2405026","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405336.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405337","title":"KI#2: New Solution Vertical Federated Learning .","source":"Vivo, Huawei, HiSilicon, Tencent, Tencent Cloud","contact":"vivian chong","contact-id":93021,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution for KI#2 to support Vertical Federated Learning.","secretary_remarks":"Revision of S2-2405322. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27030,"status":"approved","reservation_date":"2024-04-22 09:39:10","uploaded":"2024-04-22 10:01:16","revisionof":"S2-2405322","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405337.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405338","title":"KI#2: New Solution for support Vertical Federated Learning model training and inference between NWDAF and AF.","source":"KDDI","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"pCR","for":"Approval","abstract":"This contribution is resubmission of solution for Key Issue #2 and use case#5 to study supporting Vertical Federated Learning in 5GS in TS 23.700-81.","secretary_remarks":"Revision of S2-2405028. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27060,"status":"approved","reservation_date":"2024-04-22 09:39:10","uploaded":"2024-04-22 10:01:16","revisionof":"S2-2405028","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405338.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405339","title":"Solution for KI#1: Training Model to determine location.","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a solution for KI#1.","secretary_remarks":"Revision of S2-2405043. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27130,"status":"approved","reservation_date":"2024-04-22 09:39:10","uploaded":"2024-04-22 10:01:16","revisionof":"S2-2405043","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.1.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405339.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405340","title":"New Solution on MTLF-based model performance monitoring for AI\/ML positioning.","source":"China Mobile","contact":"Aihua Li","contact-id":58162,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a new solution for Key Issue #1.","secretary_remarks":"Revision of S2-2405044. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27160,"status":"approved","reservation_date":"2024-04-22 09:39:10","uploaded":"2024-04-22 10:01:16","revisionof":"S2-2405044","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405340.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405341","title":"New solution for KI#1 support monitoring the performance of AI model .","source":"Xiaomi, Huawei","contact":"Jianning(Carry) LIU","contact-id":88587,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a new solution for key issue#1 to support for monitoring the performance of the AI model by reusing the PRU (Positioning Reference Unit) in LCS service.","secretary_remarks":"Revision of S2-2405029. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27190,"status":"approved","reservation_date":"2024-04-22 09:39:10","uploaded":"2024-04-22 10:01:16","revisionof":"S2-2405029","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405341.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405342","title":"23.700-84: KI#1 clean up the EN for solution #6.","source":"Qualcomm Incorporated, Ericsson, NTT Docomo","contact":"Juan Zhang","contact-id":73274,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes to solve the EN for solution #6.","secretary_remarks":"Revision of S2-2405045. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27220,"status":"approved","reservation_date":"2024-04-22 09:39:11","uploaded":"2024-04-22 10:01:16","revisionof":"S2-2405045","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405342.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405343","title":"KI#3, New Sol: QoS\/policy enhancements assisted by NWDAF.","source":"Samsung, SK Telecom","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a new solution for AIML_CN KI#3.","secretary_remarks":"Revision of S2-2405073. Revised in parallel session to S2-2405576.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27250,"status":"revised","reservation_date":"2024-04-22 09:39:11","uploaded":"2024-04-22 10:01:22","revisionof":"S2-2405073","revisedto":"S2-2405576","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405343.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405344","title":"New solution on BDT Policy Recommendations.","source":"Lenovo","contact":"Konstantinos Samdanis","contact-id":97370,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a solution about BDT policy recommendation related to Key Issue #3.","secretary_remarks":"Revision of S2-2405320. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27290,"status":"approved","reservation_date":"2024-04-22 09:39:11","uploaded":"2024-04-22 10:01:16","revisionof":"S2-2405320","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405344.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405345","title":"Solution to key issue 4: Signalling storm detection and mitigation based on O&M data.","source":"OPPO, Ericsson","contact":"Alla Goldner","contact-id":101685,"tdoctype":"pCR","for":"Approval","abstract":"This solution proposes new solution to TR 23.700-84, key issue 4, based on the inputs, provided by O&M. This solution should be taken as a partial input for overall analytics input relevant for signaling storm detection, prevention and mitigation.","secretary_remarks":"Revision of S2-2405088. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27320,"status":"approved","reservation_date":"2024-04-22 09:39:11","uploaded":"2024-04-22 10:01:16","revisionof":"S2-2405088","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405345.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405346","title":"KI#4, New Solution: NWDAF Assisted Detection and Mitigation of Signalling Storm.","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"pCR","for":"Approval","abstract":"It proposes a new solution for NWDAF assisted detection and mitigation of signalling storm.","secretary_remarks":"Revision of S2-2405074. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27350,"status":"approved","reservation_date":"2024-04-22 09:39:12","uploaded":"2024-04-22 10:01:16","revisionof":"S2-2405074","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405346.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405347","title":"Solution for KI#2: Vertical Federated learning considering Internal NWDAF architecture.","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a solution for KI#2 and use cases 4 and 5.","secretary_remarks":"Revision of S2-2405075. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27380,"status":"approved","reservation_date":"2024-04-22 09:39:12","uploaded":"2024-04-22 10:01:16","revisionof":"S2-2405075","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.1.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405347.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405348","title":"Updates to Terminology.","source":"Samsung","contact":"David Gutierrez Estevez","contact-id":70502,"tdoctype":"pCR","for":"Approval","abstract":"This pCR proposes updates to Terminology.","secretary_remarks":"Revision of S2-2405084. Revised in parallel session to S2-2405572.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27930,"status":"revised","reservation_date":"2024-04-22 09:39:12","uploaded":"2024-04-22 10:01:22","revisionof":"S2-2405084","revisedto":"S2-2405572","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405348.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405349","title":"KI#2, new Solution: VFL involving NWDAF and AF.","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a new solution to KI#2.","secretary_remarks":"Revision of S2-2405076. Revised in parallel session to S2-2405561.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27410,"status":"revised","reservation_date":"2024-04-22 09:39:12","uploaded":"2024-04-22 10:01:22","revisionof":"S2-2405076","revisedto":"S2-2405561","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405349.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405350","title":"TR 23.700-84: KI#1 New solution about data collection procedure for LMF-side model training.","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution of data collection for LMF-side model training.","secretary_remarks":"Revision of S2-2405086. Revised in parallel session to S2-2405564.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27500,"status":"revised","reservation_date":"2024-04-22 09:39:13","uploaded":"2024-04-22 10:01:22","revisionof":"S2-2405086","revisedto":"S2-2405564","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405350.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405558","title":"Solution for KI#2: Support for vertical federated learning: Model Training and Inference.","source":"Lenovo, NTT Docomo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"pCR","for":"Approval","abstract":"This solution includes the solution presented in S2-2402205 that proposes sample alignment before VFL. This solution additionally includes support for distributed inference.","secretary_remarks":"Revision of S2-2405039. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26930,"status":"approved","reservation_date":"2024-04-22 09:41:01","uploaded":"2024-04-22 10:01:18","revisionof":"S2-2405039","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405558.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405559","title":"KI#4, New Solution: NWDAF-assisted Network Abnormal Behaviour Mitigation and Prevention.","source":"SK Telecom, China Mobile, Dish Network, ETRI, KDDI, KPN N.V., Lenovo, LG Uplus, Rakuten Mobile, Samsung, TOYOTA MOTOR CORPORATION, vivo, OPPO, NTT DOCOMO","contact":"DongJin Lee","contact-id":65921,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a new solution for FS_AIML_CN KI#4.","secretary_remarks":"Revision of S2-2405331. Revised in parallel session to S2-2405574.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26630,"status":"revised","reservation_date":"2024-04-22 09:41:02","uploaded":"2024-04-22 10:01:21","revisionof":"S2-2405331","revisedto":"S2-2405574","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405559.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405561","title":"KI#2, new Solution: VFL involving NWDAF and AF.","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a new solution to KI#2.","secretary_remarks":"Revision of S2-2405349. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27420,"status":"approved","reservation_date":"2024-04-22 09:41:03","uploaded":"2024-04-22 10:01:18","revisionof":"S2-2405349","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405561.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405562","title":"KI#2: New Solution for support registration and discovery enhancement for Vertical Federated Learning.","source":"KDDI","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"pCR","for":"Approval","abstract":"This contribution is resubmission of solution for Key Issue #2 and use case#5 to study supporting Vertical Federated Learning in 5GS in TS 23.700-81.","secretary_remarks":"Revision of S2-2405077. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27900,"status":"approved","reservation_date":"2024-04-22 09:41:03","uploaded":"2024-04-22 10:01:18","revisionof":"S2-2405077","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405562.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405563","title":"KI#1 new solution of Direct AI\/ML based positioning with NWDAF assistance.","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"pCR","for":"Approval","abstract":"The contribution proposes a new solution of Direct AIML based positioning with NWDAF assistance for KI#1.","secretary_remarks":"Revision of S2-2405085. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27470,"status":"approved","reservation_date":"2024-04-22 09:41:03","uploaded":"2024-04-22 10:01:18","revisionof":"S2-2405085","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405563.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405564","title":"TR 23.700-84: KI#1 New solution about data collection procedure for LMF-side model training.","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution of data collection for LMF-side model training.","secretary_remarks":"Revision of S2-2405350. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27510,"status":"approved","reservation_date":"2024-04-22 09:41:03","uploaded":"2024-04-22 10:01:18","revisionof":"S2-2405350","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405564.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405565","title":"New solution for KI#1 support the data collection for AI model training based on authorization .","source":"Xiaomi","contact":"Jianning(Carry) LIU","contact-id":88587,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a new solution for key issue#1 to support for the authorization based on UE subscription in UDM whether the positioning data of the UE can be used for training the AI model before collecting the positioning data by AI model training en","secretary_remarks":"Revision of S2-2405087. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27550,"status":"approved","reservation_date":"2024-04-22 09:41:04","uploaded":"2024-04-22 10:01:18","revisionof":"S2-2405087","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405565.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405566","title":"KI#4: New Sol: NWDAF analytics for signalling storm prediction.","source":"NTT DOCOMO, Vivo, Lenovo, Nokia","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution for KI#4 where NWDAF provides a new analytics Abnormal Control Plane Signalling Pattern to trigger signalling storm prevention\/mitigation mechanisms in other network entities.","secretary_remarks":"Revision of S2-2405031. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27670,"status":"approved","reservation_date":"2024-04-22 09:41:04","uploaded":"2024-04-22 10:01:18","revisionof":"S2-2405031","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405566.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405572","title":"Updates to Terminology.","source":"Samsung","contact":"David Gutierrez Estevez","contact-id":70502,"tdoctype":"pCR","for":"Approval","abstract":"This pCR proposes updates to Terminology.","secretary_remarks":"Revision of S2-2405348. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27940,"status":"approved","reservation_date":"2024-04-22 09:41:10","uploaded":"2024-04-22 10:01:18","revisionof":"S2-2405348","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405572.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405573","title":"KI#1: Update Solution#1 .","source":"Vivo, Intel, ZTE, NTT DOCOMO, OPPO, Lenovo, China Telecom","contact":"vivian chong","contact-id":93021,"tdoctype":"pCR","for":"Approval","abstract":"Update the solution#1 to solve some Editor s notes, merge the solution 3.","secretary_remarks":"Revision of S2-2405330. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26590,"status":"approved","reservation_date":"2024-04-22 09:41:11","uploaded":"2024-04-22 10:01:18","revisionof":"S2-2405330","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405573.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405574","title":"KI#4, New Solution: NWDAF-assisted Network Abnormal Behaviour Mitigation and Prevention.","source":"SK Telecom, China Mobile, Dish Network, ETRI, KDDI, KPN N.V., Lenovo, LG Uplus, Rakuten Mobile, Samsung, TOYOTA MOTOR CORPORATION, vivo, OPPO, NTT DOCOMO","contact":"DongJin Lee","contact-id":65921,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a new solution for FS_AIML_CN KI#4.","secretary_remarks":"Revision of S2-2405559. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26640,"status":"approved","reservation_date":"2024-04-22 09:41:11","uploaded":"2024-04-22 10:01:18","revisionof":"S2-2405559","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405574.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405575","title":"KI#3, New Solution, Sustainability-based QoS policies determination .","source":"InterDigital Inc., OPPO, ICS","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"pCR","for":"Approval","abstract":"This p-CR proposes a new solution for Key issue 3 for NWDAF assistance to QoS policies determination.","secretary_remarks":"Revision of S2-2405333. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26870,"status":"approved","reservation_date":"2024-04-22 09:41:11","uploaded":"2024-04-22 10:01:18","revisionof":"S2-2405333","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405575.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405576","title":"KI#3, New Sol: QoS\/policy enhancements assisted by NWDAF.","source":"Samsung, SK Telecom","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a new solution for AIML_CN KI#3.","secretary_remarks":"Revision of S2-2405343. Agreed in parallel session. Block approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":27260,"status":"approved","reservation_date":"2024-04-22 09:41:11","uploaded":"2024-04-22 10:01:18","revisionof":"S2-2405343","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.2.0","workitem":[{"winame":"FS_AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405576.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405578","title":"[DRAFT] LS on data collection to enable ML model training and inference in 5GC for Direct AI\/ML based positioning","source":"vivo, Intel","contact":"vivian chong","contact-id":93021,"tdoctype":"LS out","for":"Approval","abstract":"This LS OUT is to ask RAN WG1, RAN WG2 to provide feedback on the two questions about data collection for Direct AI\/ML based positioning","secretary_remarks":"Revision of S2-2405032. Revised in parallel session to S2-2405612.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26490,"status":"revised","reservation_date":"2024-04-22 09:41:13","uploaded":"2024-04-22 10:01:22","revisionof":"S2-2405032","revisedto":"S2-2405612","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG1, RAN WG2","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405578.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405612","title":"[DRAFT] LS on data collection to enable ML model training and inference in 5GC for Direct AI\/ML based positioning","source":"vivo, Intel","contact":"vivian chong","contact-id":93021,"tdoctype":"LS out","for":"Approval","abstract":"This LS OUT is to ask RAN WG1, RAN WG2 to provide feedback on the two questions about data collection for Direct AI\/ML based positioning","secretary_remarks":"Revision of S2-2405578. Agreed in parallel session. Revised to S2-2405833.","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26500,"status":"revised","reservation_date":"2024-04-22 09:41:28","uploaded":"2024-04-22 10:01:21","revisionof":"S2-2405578","revisedto":"S2-2405833","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG1, RAN WG2","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405612.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2405833","title":"LS on data collection to enable ML model training and inference in 5GC for Direct AI\/ML based positioning","source":"SA WG2","contact":"vivian chong","contact-id":93021,"tdoctype":"LS out","for":"Approval","abstract":"To: RAN WG1, RAN WG2. CC: RAN WG3","secretary_remarks":"Revision of S2-2405612. This LS OUT was approved","agenda_item_sort_order":126,"ainumber":"19.15","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (FS_AIML_CN)","tdoc_agenda_sort_order":26510,"status":"approved","reservation_date":"2024-04-22 09:43:12","uploaded":"2024-04-22 10:01:19","revisionof":"S2-2405612","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG1, RAN WG2","Cc":"RAN WG3","lsoriginalls":"","lsreply":"R1-2404353, R1-2403988, R1-2404060, R1-2404146, R1-2404545, R1-2404699, R1-2404909, R1-2405018, R1-2405577, R1-2405578","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_162_Changsha_2024-04\/Docs\/S2-2405833.zip","group":"S2","meeting":"S2-162","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0}]