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{"name":"S2-2401925","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 key issue 4, based on the inputs, provided by O&M","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":26580,"status":"not treated","reservation_date":"2024-06-02 08:12:05","uploaded":"2024-02-15 12:54:24","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_161_Athens_2024-02\/Docs\/S2-2401925.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2401926","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":"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":26570,"status":"not treated","reservation_date":"2024-06-02 08:16:39","uploaded":"2024-02-15 12:54:35","revisionof":"","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_161_Athens_2024-02\/Docs\/S2-2401926.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2401966","title":"KI#1: New solution for Direct AIML based Positioning in LMF collocated with AnLF","source":"vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"pCR","for":"Approval","abstract":"One alternative solution for case 2b\/3b AI\/ML based Positioning, in which the LMF is collocated with AnLF and performs inference based on the model retrived from NWDAF.","secretary_remarks":"Revised in parallel session to S2-2403059.","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":25820,"status":"revised","reservation_date":"2024-08-02 09:04:45","uploaded":"2024-02-08 09:08:02","revisionof":"","revisedto":"S2-2403059","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_161_Athens_2024-02\/Docs\/S2-2401966.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2401967","title":"KI#2: New solution for Vertical Federated Learning between NWDAF and AF without coordinator","source":"vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"pCR","for":"Approval","abstract":"This paper is to propose a solution for Vertical Federated Learning between NWDAF and AF without coordinator","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":26710,"status":"not treated","reservation_date":"2024-08-02 09:04:45","uploaded":"2024-02-08 09:08:02","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_161_Athens_2024-02\/Docs\/S2-2401967.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2401968","title":"WT2: New Use Case for Vertical Federated Learning.","source":"Samsung, OPPO, ZTE, Futurewei, Lenovo, ETRI, NTT Docomo, SK Telecom","contact":"David Gutierrez Estevez","contact-id":70502,"tdoctype":"pCR","for":"Approval","abstract":"This pCR proposes a new use case for KI#2 on NWDAF Support for Sample and Feature Alignment in Analytics.","secretary_remarks":"Revision of S2-2400312 from S2#160AH-e. Revised in parallel session to S2-2403052, merging S2-2402829","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":26150,"status":"revised","reservation_date":"2024-08-02 10:20:19","uploaded":"2024-02-16 16:13:02","revisionof":"S2-2400312","revisedto":"S2-2403052","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.0.0","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_161_Athens_2024-02\/Docs\/S2-2401968.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2401969","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":"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":26430,"status":"not treated","reservation_date":"2024-08-02 10:20:43","uploaded":"2024-02-16 16:44:49","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_161_Athens_2024-02\/Docs\/S2-2401969.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2401970","title":"KI#1: New Solution on LMF Support for AI\/ML Direct Positioning.","source":"Samsung","contact":"David Gutierrez Estevez","contact-id":70502,"tdoctype":"pCR","for":"Approval","abstract":"This pCR proposes a new solution on LMF Support for AI\/ML Direct Positioning.","secretary_remarks":"Revised in parallel session to S2-2403060.","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":25860,"status":"revised","reservation_date":"2024-08-02 10:22:24","uploaded":"2024-02-16 16:13:03","revisionof":"","revisedto":"S2-2403060","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_161_Athens_2024-02\/Docs\/S2-2401970.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2401971","title":"KI#2: New Solution on NWDAF Support for VFL.","source":"Samsung","contact":"David Gutierrez Estevez","contact-id":70502,"tdoctype":"pCR","for":"Approval","abstract":"This pCR proposes a new solution for KI#2 on NWDAF Support for 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":26720,"status":"not treated","reservation_date":"2024-08-02 10:24:14","uploaded":"2024-02-16 16:13:03","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_161_Athens_2024-02\/Docs\/S2-2401971.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2401974","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":"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":26440,"status":"not treated","reservation_date":"2024-08-02 12:26:42","uploaded":"2024-02-16 19:16:06","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_161_Athens_2024-02\/Docs\/S2-2401974.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2401985","title":"KI#1: New Solution for NF Registration and Discovery Enhancement for AI\/ML positioning.","source":"Vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes to add a solution for KI#1 to support NF Registration and Discovery Enhancement for AI\/ML 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":25900,"status":"not treated","reservation_date":"2024-09-02 04:38:02","uploaded":"2024-02-09 04:41:21","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_161_Athens_2024-02\/Docs\/S2-2401985.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2401986","title":"KI#2: New Solution for NF Registration and Discovery Enhancement for supporting VFL.","source":"Vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes to add a solution for KI#2 to support NF Registration and Discovery for 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":26730,"status":"not treated","reservation_date":"2024-09-02 04:38:02","uploaded":"2024-02-09 04:41:21","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_161_Athens_2024-02\/Docs\/S2-2401986.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2401987","title":"KI#2: Terminologies definition for VFL.","source":"Vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes to align the definition of terminologies of VFL.","secretary_remarks":"Revised in parallel session to S2-2403058.","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":26280,"status":"revised","reservation_date":"2024-09-02 04:38:02","uploaded":"2024-02-09 04:41:22","revisionof":"","revisedto":"S2-2403058","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_161_Athens_2024-02\/Docs\/S2-2401987.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2401988","title":"Definitions of VFL server and VFL client.","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"pCR","for":"Approval","abstract":"A proposal to clarify the properties of VFL server and VFL client","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":26330,"status":"not treated","reservation_date":"2024-09-02 07:51:52","uploaded":"2024-02-09 08:07:23","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_161_Athens_2024-02\/Docs\/S2-2401988.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2401989","title":"Definitions of VFL and HFL.","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"pCR","for":"Approval","abstract":"A proposal to clarify the difference of Vertical Federated Learning and Horizontal Federated Learning.","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":26340,"status":"not treated","reservation_date":"2024-09-02 07:51:52","uploaded":"2024-02-09 08:07:23","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_161_Athens_2024-02\/Docs\/S2-2401989.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2401990","title":"Architectural assumptions.","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes some additional architectural assumptions.","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":26370,"status":"not treated","reservation_date":"2024-09-02 07:51:52","uploaded":"2024-02-09 08:07:23","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_161_Athens_2024-02\/Docs\/S2-2401990.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2401991","title":"Solution about LMF-side model training and inference.","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution for KI#1 about model training of LMF-side model at NWDAF and performing inference at LMF or NWDAF for direct AI\/ML positioning","secretary_remarks":"Revised in parallel session to S2-2403061.","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":25910,"status":"revised","reservation_date":"2024-09-02 07:51:52","uploaded":"2024-02-09 08:07:23","revisionof":"","revisedto":"S2-2403061","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_161_Athens_2024-02\/Docs\/S2-2401991.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2401992","title":"TR 23.700-84: KI#1 Solution about LMF AI capability report to NRF and LMF selection.","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution for KI#1 about AI 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":25950,"status":"not treated","reservation_date":"2024-09-02 07:51:52","uploaded":"2024-02-09 08:07:23","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_161_Athens_2024-02\/Docs\/S2-2401992.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2401993","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":26740,"status":"not treated","reservation_date":"2024-09-02 07:51:52","uploaded":"2024-02-09 08:07:23","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_161_Athens_2024-02\/Docs\/S2-2401993.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2401994","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":26750,"status":"not treated","reservation_date":"2024-09-02 07:51:52","uploaded":"2024-02-09 08:07:23","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_161_Athens_2024-02\/Docs\/S2-2401994.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402003","title":"Data collection procedure for model training of AI\/ML based positioning.","source":"Vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"pCR","for":"Approval","abstract":". This contribution proposes a new solution to support NWDAF to achieve positioning data collection from UE and RAN via the LCS architecture.","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":25960,"status":"not treated","reservation_date":"2024-09-02 11:08:39","uploaded":"2024-02-09 11:15:11","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_161_Athens_2024-02\/Docs\/S2-2402003.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402012","title":"New solution: NWDAF-assisted policy control for network abnormal behaviours mitigation.","source":"KPN N.V.","contact":"Nassima Toumi","contact-id":97967,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution for KI#3 and KI#4 to support NWDAF-assisted policy control for network abnormal behaviours mitigation.","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":26590,"status":"not treated","reservation_date":"2024-09-02 17:28:20","uploaded":"2024-02-13 10:46:22","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_161_Athens_2024-02\/Docs\/S2-2402012.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402023","title":"Solution for KI#3 Use Case 1: NWDAF Policy Decisions Analytics.","source":"Nokia, Nokia Shanghai Bell","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":"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":26450,"status":"not treated","reservation_date":"2024-12-02 13:19:59","uploaded":"2024-02-16 22:17:46","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_161_Athens_2024-02\/Docs\/S2-2402023.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402024","title":"Solution for KI#1: Data Collection Framework for Direct AI\/ML positioning.","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"pCR","for":"Approval","abstract":"-","secretary_remarks":"Revised in parallel session to S2-2403062.","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":25970,"status":"revised","reservation_date":"2024-12-02 18:33:02","uploaded":"2024-02-16 19:16:06","revisionof":"","revisedto":"S2-2403062","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_161_Athens_2024-02\/Docs\/S2-2402024.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402025","title":"Solution for KI#1: ML Model Framework for Direct AI\/ML positioning .","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"pCR","for":"Approval","abstract":"-","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":26010,"status":"not treated","reservation_date":"2024-12-02 18:35:09","uploaded":"2024-02-16 19:16:06","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_161_Athens_2024-02\/Docs\/S2-2402025.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402026","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":"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":26600,"status":"not treated","reservation_date":"2024-12-02 18:36:54","uploaded":"2024-02-16 19:16:06","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_161_Athens_2024-02\/Docs\/S2-2402026.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402063","title":"New Use Case for WT#2: VFL between NWDAFs.","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"pCR","for":"Approval","abstract":"Propose a use case for using VFL among NWDAFs for improving the accuracy and effectiveness of analytics when NWDAFs are not allowed to share their ML Models.","secretary_remarks":"Revision of S2-2400804 from S2#160AH-e. Revised in parallel session to S2-2403053.","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":26190,"status":"revised","reservation_date":"2024-02-13 15:23:16","uploaded":"2024-02-16 13:07:26","revisionof":"S2-2400804","revisedto":"S2-2403053","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_161_Athens_2024-02\/Docs\/S2-2402063.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402064","title":"KI#2, New Solution for VFL-based ML training.","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"pCR","for":"Approval","abstract":"Proposal of the Interactions and information exchange to support VFL-based 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":26760,"status":"not treated","reservation_date":"2024-02-13 15:23:16","uploaded":"2024-02-16 13:07:26","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_161_Athens_2024-02\/Docs\/S2-2402064.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402104","title":"TR 23.700-84: 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":"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":26770,"status":"not treated","reservation_date":"2024-02-14 10:52:33","uploaded":"2024-02-14 11:13:31","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_161_Athens_2024-02\/Docs\/S2-2402104.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402105","title":"TR 23.700-84: 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":"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":26780,"status":"not treated","reservation_date":"2024-02-14 10:55:03","uploaded":"2024-02-14 11:13:31","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_161_Athens_2024-02\/Docs\/S2-2402105.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402106","title":"TR 23.700-84: KI#2 - VFL terminology definition.","source":"OPPO","contact":"Jingran Chen","contact-id":100820,"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":26350,"status":"not treated","reservation_date":"2024-02-14 10:58:15","uploaded":"2024-02-14 11:13:31","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_161_Athens_2024-02\/Docs\/S2-2402106.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402107","title":"TR 23.700-84: New Solution for KI#1 LMF selection to support the LMF-sided direct AI\/ML positioning.","source":"OPPO","contact":"Jingran Chen","contact-id":100820,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes the solution for LMF selection to support the LMF-sided direct AI\/ML positioning.","secretary_remarks":"Revised in parallel session to S2-2403063.","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":26020,"status":"revised","reservation_date":"2024-02-14 11:00:13","uploaded":"2024-02-14 11:13:31","revisionof":"","revisedto":"S2-2403063","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_161_Athens_2024-02\/Docs\/S2-2402107.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402117","title":"23.700-84: KI#1: Solution about LMF based ML model training and Inference.","source":"Qualcomm Incorporated","contact":"Juan Zhang","contact-id":73274,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposed a LMF based ML model training and Inference solution for KI#1.","secretary_remarks":"Revised in parallel session to S2-2403064.","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":26050,"status":"revised","reservation_date":"2024-02-14 15:43:07","uploaded":"2024-02-16 14:21:39","revisionof":"","revisedto":"S2-2403064","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_161_Athens_2024-02\/Docs\/S2-2402117.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402156","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":"Key Issue #2 was approved to study supporting Vertical Federated Learning in 5GS in TS 23.700-81. This contribution proposed a solution to support VFL between NWDAF and AF.","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":26790,"status":"not treated","reservation_date":"2024-02-15 02:20:25","uploaded":"2024-02-15 09:22:46","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_161_Athens_2024-02\/Docs\/S2-2402156.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402157","title":"KI#2: New Solution for support Vertical Federated Learning model training between NWDAF and AF.","source":"KDDI","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"pCR","for":"Approval","abstract":"Key Issue #2 was approved to study supporting Vertical Federated Learning in 5GS in TS 23.700-81. This contribution proposed a solution to support VFL between NWDAF and AF.","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":26800,"status":"not treated","reservation_date":"2024-02-15 02:25:17","uploaded":"2024-02-15 09:22:45","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_161_Athens_2024-02\/Docs\/S2-2402157.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402158","title":"KI#2: New Solution for support Vertical Federated Learning Inference between NWDAF and AF .","source":"KDDI","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"pCR","for":"Approval","abstract":"Key Issue #2 was approved to study supporting Vertical Federated Learning in 5GS in TS 23.700-81. This contribution proposed a solution to support VFL between NWDAF and AF.","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":26810,"status":"not treated","reservation_date":"2024-02-15 02:29:00","uploaded":"2024-02-15 09:22:45","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_161_Athens_2024-02\/Docs\/S2-2402158.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402165","title":"Solution (KI#3): Enhancements to reduce iterations in determining QoS parameters assisted by NWDAF.","source":"ETRI","contact":"MyungKi Shin","contact-id":47935,"tdoctype":"pCR","for":"Approval","abstract":"It is proposed to add a solution for the KI #3: NWDAF-assisted policy control and QoS enhancement related to Use Case #1: NWDAF-assisted QoS recommendation.","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":26460,"status":"not treated","reservation_date":"2024-02-15 05:20:19","uploaded":"2024-02-15 22:35:12","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_161_Athens_2024-02\/Docs\/S2-2402165.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402181","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":"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":26610,"status":"not treated","reservation_date":"2024-02-15 08:16:22","uploaded":"2024-02-16 10:56:30","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_161_Athens_2024-02\/Docs\/S2-2402181.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402186","title":"Solution (KI#3): Enhancement to evaluate NWDAF-assisted policy control and QoS recommendation.","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":"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":26470,"status":"not treated","reservation_date":"2024-02-15 08:42:41","uploaded":"2024-02-16 06:33:28","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_161_Athens_2024-02\/Docs\/S2-2402186.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402192","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":"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":26620,"status":"not treated","reservation_date":"2024-02-15 10:17:01","uploaded":"2024-02-16 16:44:49","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_161_Athens_2024-02\/Docs\/S2-2402192.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402205","title":"Solution for KI#2: Supporting alignment of samples for model training using VFL.","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"pCR","for":"Approval","abstract":"-","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":26820,"status":"not treated","reservation_date":"2024-02-15 11:33:45","uploaded":"2024-02-16 19:16:06","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_161_Athens_2024-02\/Docs\/S2-2402205.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402213","title":"Use case for observed service experience analytics based on VFL.","source":"China Mobile, KDDI, Lenovo, vivo, Huawei, OPPO, NTT DOCOMO, Apple, ETRI, Ericsson, KDDI","contact":"Aihua Li","contact-id":58162,"tdoctype":"pCR","for":"Approval","abstract":"Use case for user experience evaluation based on VFL","secretary_remarks":"Revision of S2-2401068 from S2#160AH-e. Revised in parallel session to S2-2403054.","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":26220,"status":"revised","reservation_date":"2024-02-15 12:59:02","uploaded":"2024-02-16 14:35:43","revisionof":"S2-2401068","revisedto":"S2-2403054","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.0.0","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_161_Athens_2024-02\/Docs\/S2-2402213.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402215","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":"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":26830,"status":"not treated","reservation_date":"2024-02-15 13:01:18","uploaded":"2024-02-16 14:35:43","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_161_Athens_2024-02\/Docs\/S2-2402215.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402221","title":"New Solution for Supporting AI\/ML based positioning for LMF-side model.","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"pCR","for":"Approval","abstract":"It is proposed a new Solution for Supporting AIML based Positioning for LMF-side model.","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":26070,"status":"not treated","reservation_date":"2024-02-15 13:06:48","uploaded":"2024-02-16 08:00:33","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_161_Athens_2024-02\/Docs\/S2-2402221.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402222","title":"Update of KI#1.","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"pCR","for":"Approval","abstract":"It is proposed to update the KI#1.","secretary_remarks":"Merged into S2-2403051","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":25810,"status":"merged","reservation_date":"2024-02-15 13:06:48","uploaded":"2024-02-16 08:00:33","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_161_Athens_2024-02\/Docs\/S2-2402222.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402223","title":"NWDAF-assisted policy control with Recommendation logical function.","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"pCR","for":"Approval","abstract":"It is proposed a new solution for NWDAF-assisted policy control with Recommendation logical function.","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":26480,"status":"not treated","reservation_date":"2024-02-15 13:06:48","uploaded":"2024-02-16 08:00:33","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_161_Athens_2024-02\/Docs\/S2-2402223.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402225","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":"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":26080,"status":"not treated","reservation_date":"2024-02-15 13:14:06","uploaded":"2024-02-16 14:35:43","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_161_Athens_2024-02\/Docs\/S2-2402225.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402226","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":"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":26630,"status":"not treated","reservation_date":"2024-02-15 13:16:09","uploaded":"2024-02-16 14:35:43","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_161_Athens_2024-02\/Docs\/S2-2402226.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402239","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":"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":26090,"status":"not treated","reservation_date":"2024-02-15 13:41:36","uploaded":"2024-02-15 14:04:55","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_161_Athens_2024-02\/Docs\/S2-2402239.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402240","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":"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":26490,"status":"not treated","reservation_date":"2024-02-15 13:41:36","uploaded":"2024-02-15 14:04:55","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_161_Athens_2024-02\/Docs\/S2-2402240.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402250","title":"Terminology proposals for VFL.","source":"Samsung","contact":"David Gutierrez Estevez","contact-id":70502,"tdoctype":"pCR","for":"Approval","abstract":"This pCR proposes new terms for KI#2\/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":26360,"status":"not treated","reservation_date":"2024-02-15 14:23:55","uploaded":"2024-02-16 16:13:03","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_161_Athens_2024-02\/Docs\/S2-2402250.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402264","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":"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":26500,"status":"not treated","reservation_date":"2024-02-15 16:20:37","uploaded":"2024-02-16 19:24:50","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_161_Athens_2024-02\/Docs\/S2-2402264.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402266","title":"KI#1 Updates to KI#1 on Enhancements to LCS to support Direct AI\/ML based Positioning.","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"pCR","for":"Approval","abstract":"This is an update to KI#1 in TR 23.700-84 v.0.1.0","secretary_remarks":"Merged into S2-2403051 and into S2-2403050","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":25800,"status":"merged","reservation_date":"2024-02-15 16:20:38","uploaded":"2024-02-16 19:24:50","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_161_Athens_2024-02\/Docs\/S2-2402266.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402267","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":"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":26100,"status":"not treated","reservation_date":"2024-02-15 16:20:38","uploaded":"2024-02-16 19:24:50","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_161_Athens_2024-02\/Docs\/S2-2402267.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402268","title":"KI#2, new Solution: Cross domain 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":"Merged into S2-2403340","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":26320,"status":"merged","reservation_date":"2024-02-15 16:20:38","uploaded":"2024-02-16 19:24:50","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_161_Athens_2024-02\/Docs\/S2-2402268.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402269","title":"(KI#4) Solution for NWDAF enhancements to support network abnormal behaviours (i.e. Signalling storm) mitigation and prevention.","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":"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":26380,"status":"not treated","reservation_date":"2024-02-15 16:20:38","uploaded":"2024-02-16 19:24:50","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_161_Athens_2024-02\/Docs\/S2-2402269.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402270","title":"(KI#3) Changes in the use case #1.","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes an update to use case #1 to replace the phrase recommendation from the title with enhancement and remove the last paragraph which points directly to the solution.","secretary_remarks":"Revised in parallel session to S2-2403056.","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":26390,"status":"revised","reservation_date":"2024-02-15 16:20:38","uploaded":"2024-02-16 19:24:50","revisionof":"","revisedto":"S2-2403056","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_161_Athens_2024-02\/Docs\/S2-2402270.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402271","title":"(KI#4) Use case for NWDAF enhancements to support network abnormal behaviours (i.e. Signalling storm) mitigation and prevention.","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a new Use Case#X related to KI#4 for the scenarios where NFs can be source of signalling storm and OAM in the center for prevention and mitigation.","secretary_remarks":"Revised in parallel session to S2-2403057.","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":"revised","reservation_date":"2024-02-15 16:20:38","uploaded":"2024-02-16 19:24:50","revisionof":"","revisedto":"S2-2403057","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_161_Athens_2024-02\/Docs\/S2-2402271.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402297","title":"EN removal from architectural assumptions and requirements.","source":"Samsung","contact":"David Gutierrez Estevez","contact-id":70502,"tdoctype":"pCR","for":"Approval","abstract":"This pCR removes an EN from Architectural Assumptions and Requirements already addressed","secretary_remarks":"Revised in parallel session to S2-2403049, merging S2-2402658","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":25700,"status":"revised","reservation_date":"2024-02-15 16:48:50","uploaded":"2024-02-16 16:13:03","revisionof":"","revisedto":"S2-2403049","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_161_Athens_2024-02\/Docs\/S2-2402297.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402356","title":"[DRAFT] LS on data collection to enable ML model training and inference in 5GC for Direct AI\/ML based positioning","source":"Intel","contact":"Meghashree D Kedalagudde","contact-id":49483,"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":25790,"status":"not treated","reservation_date":"2024-02-15 21:50:12","uploaded":"2024-02-16 17:46:06","revisionof":"","revisedto":"","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_161_Athens_2024-02\/Docs\/S2-2402356.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402365","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":"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":26840,"status":"not treated","reservation_date":"2024-02-15 23:50:57","uploaded":"2024-02-16 10:24:09","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_161_Athens_2024-02\/Docs\/S2-2402365.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402368","title":"KI#1:Solution for Enhancements to LCS to support Direct AI\/ML based Positioning supported by NWDAF.","source":"Intel","contact":"Meghashree D Kedalagudde","contact-id":49483,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a new for KI#1 in TR 23.700-84.","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":26110,"status":"not treated","reservation_date":"2024-02-16 00:05:09","uploaded":"2024-02-16 17:46:06","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_161_Athens_2024-02\/Docs\/S2-2402368.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402435","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":"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":26120,"status":"not treated","reservation_date":"2024-02-16 04:49:12","uploaded":"2024-02-16 16:16:35","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_161_Athens_2024-02\/Docs\/S2-2402435.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402436","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":"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":26640,"status":"not treated","reservation_date":"2024-02-16 04:49:12","uploaded":"2024-02-16 16:16:35","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_161_Athens_2024-02\/Docs\/S2-2402436.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402462","title":"Solution (KI#4): New Analytics of NAS-Level Congestion Control 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":"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":26650,"status":"not treated","reservation_date":"2024-02-16 05:38:52","uploaded":"2024-02-16 05:43:37","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_161_Athens_2024-02\/Docs\/S2-2402462.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402508","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":"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":26660,"status":"not treated","reservation_date":"2024-02-16 07:25:20","uploaded":"2024-02-16 16:11:26","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"18.3.0","workitem":[{"winame":"DUMMY"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_161_Athens_2024-02\/Docs\/S2-2402508.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402542","title":"New solution for KI#2: Procedure for VFL initiation and preparation.","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 preparation","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":26850,"status":"not treated","reservation_date":"2024-02-16 08:32:22","uploaded":"2024-02-16 17:08:58","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_161_Athens_2024-02\/Docs\/S2-2402542.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402658","title":"23.700-84: Architecture Assumptions and Requirements Editor s note.","source":"MediaTek Inc. (Rapporteur), vivo (Rapporteur)","contact":"Mehrdad Shariat","contact-id":97826,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes to remove the Editor s note in architecture assumptions and requirements of FS_AILML_CN.","secretary_remarks":"Merged into S2-2403049","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":25720,"status":"merged","reservation_date":"2024-02-16 10:52:33","uploaded":"2024-02-16 17:16:16","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_161_Athens_2024-02\/Docs\/S2-2402658.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402659","title":"23.700-84: Mapping of Key Issues to Use Cases.","source":"MediaTek Inc. (Rapporteur), vivo (Rapporteur)","contact":"Mehrdad Shariat","contact-id":97826,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes to clarify the Guidelines for use cases and also to add the mapping of existing Key Issues to Use Cases.","secretary_remarks":"Revised in parallel session to S2-2403050, merging part of S2-2402266.","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":25730,"status":"revised","reservation_date":"2024-02-16 10:52:33","uploaded":"2024-02-16 17:16:16","revisionof":"","revisedto":"S2-2403050","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_161_Athens_2024-02\/Docs\/S2-2402659.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402660","title":"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":"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":26510,"status":"not treated","reservation_date":"2024-02-16 10:52:33","uploaded":"2024-02-16 17:16:16","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_161_Athens_2024-02\/Docs\/S2-2402660.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402666","title":"BDT Policy Recommendations.","source":"Lenovo","contact":"Konstantinos Samdanis","contact-id":97370,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a use case and a solution about BDT policy recommendation related to Key Issue #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":26520,"status":"not treated","reservation_date":"2024-02-16 10:53:44","uploaded":"2024-02-16 10:56:57","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_161_Athens_2024-02\/Docs\/S2-2402666.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402731","title":"Miscellaneous Corrections of Key Issues.","source":"Vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes miscellaneous corrections of Key Issues.","secretary_remarks":"Revised in parallel session to S2-2403051, merging S2-2402222 and S2-2402266","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":25760,"status":"revised","reservation_date":"2024-02-16 12:32:03","uploaded":"2024-02-16 12:47:54","revisionof":"","revisedto":"S2-2403051","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_161_Athens_2024-02\/Docs\/S2-2402731.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402732","title":"KI#4: New Solution SBA signaling storm mitigation and prevention based on NWDAF detection and prediction.","source":"Vivo","contact":"vivian chong","contact-id":93021,"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":26670,"status":"not treated","reservation_date":"2024-02-16 12:32:03","uploaded":"2024-02-16 12:47:54","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_161_Athens_2024-02\/Docs\/S2-2402732.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402733","title":"KI#4: New Solution NAS signaling storm mitigation and prevention based on NWDAF detection and prediction.","source":"Vivo","contact":"vivian chong","contact-id":93021,"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":26680,"status":"not treated","reservation_date":"2024-02-16 12:32:03","uploaded":"2024-02-16 12:47:54","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_161_Athens_2024-02\/Docs\/S2-2402733.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402750","title":"KI#4, New Solution: NWDAF-assisted Network Abnormal Behaviour Mitigation and Prevention.","source":"SK Telecom","contact":"DongJin Lee","contact-id":65921,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a new solution for AIML_CN KI#4.","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":26690,"status":"not treated","reservation_date":"2024-02-16 12:44:31","uploaded":"2024-02-16 12:48:26","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_161_Athens_2024-02\/Docs\/S2-2402750.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402762","title":"KI#4, New Sol: NWDAF Assisted Network Abnormal Behaviour Mitigation and Prevention.","source":"Samsung","contact":"Jungshin Park","contact-id":65750,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a new solution for AIML_CN KI#4.","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":26700,"status":"not treated","reservation_date":"2024-02-16 12:46:37","uploaded":"2024-02-16 23:59:28","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_161_Athens_2024-02\/Docs\/S2-2402762.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402829","title":"WT#2: New Use Case for Vertical Federated Learning inside 5GC.","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"pCR","for":"Approval","abstract":"This pCR proposes a new use case for KI#2 on NWDAF Support for VFL in 5GC. It is an update of contribution S2-2401968 aiming to reach an agreement.","secretary_remarks":"Merged into S2-2403052","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":26210,"status":"merged","reservation_date":"2024-02-16 13:58:40","uploaded":"2024-02-16 19:24:50","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_161_Athens_2024-02\/Docs\/S2-2402829.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402937","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":26130,"status":"not treated","reservation_date":"2024-02-16 17:45:23","uploaded":"2024-02-16 22:31:35","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_161_Athens_2024-02\/Docs\/S2-2402937.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402953","title":"New solution for KI#1: Support Direct AI\/ML based Positioning with train entity in NWDAF .","source":"Xiaomi","contact":"Jianning(Carry) LIU","contact-id":88587,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a new solution for key issue#1: new solution support for Enhancements to LCS to support Direct AI\/ML based 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":26140,"status":"not treated","reservation_date":"2024-02-16 18:29:22","uploaded":"2024-02-16 18:42:52","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_161_Athens_2024-02\/Docs\/S2-2402953.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402987","title":"KI#2, New Solution, Support for VFL in 5GC.","source":"InterDigital Inc.","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a new 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":26860,"status":"not treated","reservation_date":"2024-02-16 20:24:27","uploaded":"2024-02-16 22:30:54","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_161_Athens_2024-02\/Docs\/S2-2402987.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2402990","title":"New use case for Vertical Federated Learning .","source":"InterDigital Inc.","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a new use case on WT#2 for Vertical Federated Learning.","secretary_remarks":"Revised in parallel session to S2-2403055.","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":26260,"status":"revised","reservation_date":"2024-02-16 20:37:32","uploaded":"2024-02-16 22:31:35","revisionof":"","revisedto":"S2-2403055","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_161_Athens_2024-02\/Docs\/S2-2402990.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403049","title":"EN removal from architectural assumptions and requirements.","source":"Samsung","contact":"David Gutierrez Estevez","contact-id":70502,"tdoctype":"pCR","for":"Approval","abstract":"This pCR removes an EN from Architectural Assumptions and Requirements already addressed","secretary_remarks":"Revision of S2-2402297, merging S2-2402658. 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":25710,"status":"approved","reservation_date":"2024-03-03 17:09:07","uploaded":"2024-03-07 14:31:12","revisionof":"S2-2402297","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_161_Athens_2024-02\/Docs\/S2-2403049.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403050","title":"23.700-84: Mapping of Key Issues to Use Cases.","source":"MediaTek Inc. (Rapporteur), vivo (Rapporteur), Ericsson, Samsung, InterDigital","contact":"Mehrdad Shariat","contact-id":97826,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes to clarify the Guidelines for use cases and also to add the mapping of existing Key Issues to Use Cases.","secretary_remarks":"Revision of S2-2402659, merging part of S2-2402266. Revised in parallel session to S2-2403337.","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":25740,"status":"revised","reservation_date":"2024-03-03 17:09:07","uploaded":"2024-03-07 14:31:12","revisionof":"S2-2402659","revisedto":"S2-2403337","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_161_Athens_2024-02\/Docs\/S2-2403050.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403051","title":"Miscellaneous Corrections of Key Issues.","source":"Vivo, Huawei, HiSilicon, Ericsson","contact":"vivian chong","contact-id":93021,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes miscellaneous corrections of Key Issues.","secretary_remarks":"Revision of S2-2402731, merging S2-2402222 and S2-2402266. Revised in parallel session to S2-2403336.","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":25770,"status":"revised","reservation_date":"2024-03-03 17:09:07","uploaded":"2024-03-07 14:31:12","revisionof":"S2-2402731","revisedto":"S2-2403336","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_161_Athens_2024-02\/Docs\/S2-2403051.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403052","title":"WT2: New Use Case for Vertical Federated Learning.","source":"Samsung, OPPO, ZTE, Futurewei, Lenovo, ETRI, NTT Docomo, SK Telecom, Huawei, KDDI","contact":"David Gutierrez Estevez","contact-id":70502,"tdoctype":"pCR","for":"Approval","abstract":"This pCR proposes a new use case for KI#2 on NWDAF Support for Sample and Feature Alignment in Analytics.","secretary_remarks":"Revision of S2-2401968, merging S2-2402829. Revised in parallel session to S2-2403338.","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":26160,"status":"revised","reservation_date":"2024-03-03 17:09:07","uploaded":"2024-03-07 14:31:12","revisionof":"S2-2401968","revisedto":"S2-2403338","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.0.0","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_161_Athens_2024-02\/Docs\/S2-2403052.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403053","title":"New Use Case for WT#2: VFL between NWDAFs.","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"pCR","for":"Approval","abstract":"Propose a use case for using VFL among NWDAFs for improving the accuracy and effectiveness of analytics when NWDAFs are not allowed to share their ML Models.","secretary_remarks":"Revision of S2-2402063. 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":26200,"status":"noted","reservation_date":"2024-03-03 17:09:07","uploaded":"2024-03-07 14:31:12","revisionof":"S2-2402063","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_161_Athens_2024-02\/Docs\/S2-2403053.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403054","title":"Use case for observed service experience analytics based on VFL.","source":"China Mobile, KDDI, Lenovo, vivo, Huawei, OPPO, NTT DOCOMO, Apple, ETRI, Ericsson, KDDI, Nokia","contact":"Aihua Li","contact-id":58162,"tdoctype":"pCR","for":"Approval","abstract":"Use case for user experience evaluation based on VFL","secretary_remarks":"Revision of S2-2402213. Revised in parallel session to S2-2403339.","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":26230,"status":"revised","reservation_date":"2024-03-03 17:09:07","uploaded":"2024-03-07 14:31:12","revisionof":"S2-2402213","revisedto":"S2-2403339","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.0.0","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_161_Athens_2024-02\/Docs\/S2-2403054.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403055","title":"New use case for Vertical Federated Learning .","source":"InterDigital Inc.","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a new use case on WT#2 for Vertical Federated Learning.","secretary_remarks":"Revision of S2-2402990. 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":26270,"status":"noted","reservation_date":"2024-03-03 17:09:08","uploaded":"2024-03-07 14:31:12","revisionof":"S2-2402990","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_161_Athens_2024-02\/Docs\/S2-2403055.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403056","title":"(KI#3) Changes in the use case #1.","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes an update to use case #1 to replace the phrase recommendation from the title with enhancement and remove the last paragraph which points directly to the solution.","secretary_remarks":"Revision of S2-2402270. Revised in parallel session to S2-2403341.","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":26400,"status":"revised","reservation_date":"2024-03-03 17:09:08","uploaded":"2024-03-07 14:31:12","revisionof":"S2-2402270","revisedto":"S2-2403341","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_161_Athens_2024-02\/Docs\/S2-2403056.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403057","title":"(KI#4) Use case for NWDAF enhancements to support network abnormal behaviours (i.e. Signalling storm) mitigation and prevention.","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a new Use Case#X related to KI#4 for the scenarios where NFs can be source of signalling storm and OAM in the center for prevention and mitigation.","secretary_remarks":"Revision of S2-2402271. Revised in parallel session to S2-2403342.","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":"revised","reservation_date":"2024-03-03 17:09:08","uploaded":"2024-03-07 14:31:12","revisionof":"S2-2402271","revisedto":"S2-2403342","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_161_Athens_2024-02\/Docs\/S2-2403057.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403058","title":"KI#2: Terminologies definition for VFL.","source":"Vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes to align the definition of terminologies of VFL.","secretary_remarks":"Revision of S2-2401987. Revised in parallel session to S2-2403340, merging S2-2402268","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":26290,"status":"revised","reservation_date":"2024-03-03 17:09:08","uploaded":"2024-03-07 14:31:12","revisionof":"S2-2401987","revisedto":"S2-2403340","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_161_Athens_2024-02\/Docs\/S2-2403058.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403059","title":"KI#1: New solution for Direct AIML based Positioning in LMF collocated with AnLF","source":"vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"pCR","for":"Approval","abstract":"One alternative solution for case 2b\/3b AI\/ML based Positioning, in which the LMF is collocated with AnLF and performs inference based on the model retrived from NWDAF.","secretary_remarks":"Revision of S2-2401966. Revised in parallel session to S2-2403343.","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":25830,"status":"revised","reservation_date":"2024-03-03 17:09:08","uploaded":"2024-03-07 14:31:12","revisionof":"S2-2401966","revisedto":"S2-2403343","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_161_Athens_2024-02\/Docs\/S2-2403059.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403060","title":"KI#1: New Solution on LMF Support for AI\/ML Direct Positioning.","source":"Samsung","contact":"David Gutierrez Estevez","contact-id":70502,"tdoctype":"pCR","for":"Approval","abstract":"This pCR proposes a new solution on LMF Support for AI\/ML Direct Positioning.","secretary_remarks":"Revision of S2-2401970. Revised in parallel session to S2-2403344.","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":25870,"status":"revised","reservation_date":"2024-03-03 17:09:08","uploaded":"2024-03-07 14:31:12","revisionof":"S2-2401970","revisedto":"S2-2403344","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_161_Athens_2024-02\/Docs\/S2-2403060.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403061","title":"Solution about LMF-side model training and inference.","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution for KI#1 about model training of LMF-side model at NWDAF and performing inference at LMF for direct AI\/ML positioning","secretary_remarks":"Revision of S2-2401991. Revised in parallel session to S2-2403345.","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":25920,"status":"revised","reservation_date":"2024-03-03 17:09:09","uploaded":"2024-03-07 14:31:12","revisionof":"S2-2401991","revisedto":"S2-2403345","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_161_Athens_2024-02\/Docs\/S2-2403061.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403062","title":"Solution for KI#1: Data Collection Framework for Direct AI\/ML positioning.","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"pCR","for":"Approval","abstract":"-","secretary_remarks":"Revision of S2-2402024. Revised in parallel session to S2-2403346.","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":25980,"status":"revised","reservation_date":"2024-03-03 17:09:09","uploaded":"2024-03-07 14:31:12","revisionof":"S2-2402024","revisedto":"S2-2403346","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_161_Athens_2024-02\/Docs\/S2-2403062.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403063","title":"TR 23.700-84: New Solution for KI#1 LMF selection to support the LMF-sided direct AI\/ML positioning.","source":"OPPO, ZTE","contact":"Jingran Chen","contact-id":100820,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes the solution for LMF selection to support the LMF-sided direct AI\/ML positioning.","secretary_remarks":"Revision of S2-2402107. Revised in parallel session to S2-2403347.","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":26030,"status":"revised","reservation_date":"2024-03-03 17:09:09","uploaded":"2024-03-07 14:31:12","revisionof":"S2-2402107","revisedto":"S2-2403347","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_161_Athens_2024-02\/Docs\/S2-2403063.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403064","title":"23.700-84: KI#1: Solution about LMF based ML model training and Inference.","source":"Qualcomm Incorporated, Huawei","contact":"Juan Zhang","contact-id":73274,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposed a LMF based ML model training and Inference solution for KI#1.","secretary_remarks":"Revision of S2-2402117. 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":26060,"status":"approved","reservation_date":"2024-03-03 17:09:09","uploaded":"2024-03-07 14:31:12","revisionof":"S2-2402117","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_161_Athens_2024-02\/Docs\/S2-2403064.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403336","title":"Miscellaneous Corrections of Key Issues.","source":"Vivo, Huawei, HiSilicon, Ericsson","contact":"vivian chong","contact-id":93021,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes miscellaneous corrections of Key Issues.","secretary_remarks":"Revision of S2-2403051. 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":25780,"status":"approved","reservation_date":"2024-03-03 17:11:02","uploaded":"2024-03-07 14:31:15","revisionof":"S2-2403051","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_161_Athens_2024-02\/Docs\/S2-2403336.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403337","title":"23.700-84: Mapping of Key Issues to Use Cases.","source":"MediaTek Inc. (Rapporteur), vivo (Rapporteur), Ericsson, Samsung, InterDigital, Nokia","contact":"Mehrdad Shariat","contact-id":97826,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes to clarify the Guidelines for use cases and also to add the mapping of existing Key Issues to Use Cases.","secretary_remarks":"Revision of S2-2403050. 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":25750,"status":"approved","reservation_date":"2024-03-03 17:11:02","uploaded":"2024-03-07 14:31:15","revisionof":"S2-2403050","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_161_Athens_2024-02\/Docs\/S2-2403337.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403338","title":"WT2: New Use Case for Vertical Federated Learning.","source":"Samsung, OPPO, ZTE, Futurewei, Lenovo, ETRI, NTT Docomo, SK Telecom, Huawei, KDDI","contact":"David Gutierrez Estevez","contact-id":70502,"tdoctype":"pCR","for":"Approval","abstract":"This pCR proposes a new use case for KI#2 on NWDAF Support for Sample and Feature Alignment in Analytics.","secretary_remarks":"Revision of S2-2403052. Revised in parallel session to S2-2403590.","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":26170,"status":"revised","reservation_date":"2024-03-03 17:11:02","uploaded":"2024-03-07 14:31:15","revisionof":"S2-2403052","revisedto":"S2-2403590","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.0.0","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_161_Athens_2024-02\/Docs\/S2-2403338.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403339","title":"Use case for observed service experience analytics based on VFL.","source":"China Mobile, KDDI, Lenovo, vivo, Huawei, OPPO, NTT DOCOMO, Apple, ETRI, Ericsson, KDDI, Nokia","contact":"Aihua Li","contact-id":58162,"tdoctype":"pCR","for":"Approval","abstract":"Use case for user experience evaluation based on VFL","secretary_remarks":"Revision of S2-2403054. Revised in parallel session to S2-2403591.","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":26240,"status":"revised","reservation_date":"2024-03-03 17:11:02","uploaded":"2024-03-07 14:31:15","revisionof":"S2-2403054","revisedto":"S2-2403591","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.0.0","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_161_Athens_2024-02\/Docs\/S2-2403339.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403340","title":"KI#2: Terminologies definition for VFL.","source":"Vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes to align the definition of terminologies of VFL.","secretary_remarks":"Revision of S2-2403058, merging S2-2402268. Revised in parallel session to S2-2403592.","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":26300,"status":"revised","reservation_date":"2024-03-03 17:11:03","uploaded":"2024-03-07 14:31:15","revisionof":"S2-2403058","revisedto":"S2-2403592","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_161_Athens_2024-02\/Docs\/S2-2403340.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403341","title":"(KI#3) Changes in the use case #1.","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes an update to use case #1 to replace the phrase recommendation from the title with enhancement and remove the last paragraph which points directly to the solution.","secretary_remarks":"Revision of S2-2403056. 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":26410,"status":"approved","reservation_date":"2024-03-03 17:11:03","uploaded":"2024-03-07 14:31:15","revisionof":"S2-2403056","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_161_Athens_2024-02\/Docs\/S2-2403341.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403342","title":"(KI#4) Use case for NWDAF enhancements to support network abnormal behaviours (i.e. Signalling storm) mitigation and prevention.","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a new Use Case#X related to KI#4 for the scenarios where NFs can be source of signalling storm and OAM in the center for prevention and mitigation.","secretary_remarks":"Revision of S2-2403057. Revised in parallel session to S2-2403593.","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":"2024-03-03 17:11:03","uploaded":"2024-03-07 14:31:15","revisionof":"S2-2403057","revisedto":"S2-2403593","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_161_Athens_2024-02\/Docs\/S2-2403342.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403343","title":"KI#1: New Solution Direct AI\/ML based Positioning in LMF collocated with AnLF.","source":"Vivo, Intel, ZTE, Lenovo","contact":"vivian chong","contact-id":93021,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution for KI#1 to support Direct AI\/ML based Positioning for case 2b\/3b.","secretary_remarks":"Revision of S2-2403059. Revised in parallel session to S2-2403594.","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":25840,"status":"revised","reservation_date":"2024-03-03 17:11:03","uploaded":"2024-03-07 14:31:15","revisionof":"S2-2403059","revisedto":"S2-2403594","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_161_Athens_2024-02\/Docs\/S2-2403343.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403344","title":"KI#1: New Solution on LMF Support for AI\/ML Direct Positioning.","source":"Samsung","contact":"David Gutierrez Estevez","contact-id":70502,"tdoctype":"pCR","for":"Approval","abstract":"This pCR proposes a new solution on LMF Support for AI\/ML Direct Positioning.","secretary_remarks":"Revision of S2-2403060. Revised in parallel session to S2-2403595.","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":25880,"status":"revised","reservation_date":"2024-03-03 17:11:03","uploaded":"2024-03-07 14:31:15","revisionof":"S2-2403060","revisedto":"S2-2403595","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_161_Athens_2024-02\/Docs\/S2-2403344.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403345","title":"Solution about LMF-side model training and inference.","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution for KI#1 about model training of LMF-side model at NWDAF and performing inference at LMF for direct AI\/ML positioning","secretary_remarks":"Revision of S2-2403061. Revised in parallel session to S2-2403596.","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":25930,"status":"revised","reservation_date":"2024-03-03 17:11:04","uploaded":"2024-03-07 14:31:15","revisionof":"S2-2403061","revisedto":"S2-2403596","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_161_Athens_2024-02\/Docs\/S2-2403345.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403346","title":"Solution for KI#1: Data Collection Framework for Direct AI\/ML positioning.","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"pCR","for":"Approval","abstract":"-","secretary_remarks":"Revision of S2-2403062. Revised in parallel session to S2-2403597.","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":25990,"status":"revised","reservation_date":"2024-03-03 17:11:04","uploaded":"2024-03-07 14:31:15","revisionof":"S2-2403062","revisedto":"S2-2403597","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_161_Athens_2024-02\/Docs\/S2-2403346.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403347","title":"TR 23.700-84: New Solution for KI#1 LMF selection to support the LMF-sided direct AI\/ML positioning.","source":"OPPO, ZTE","contact":"Jingran Chen","contact-id":100820,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes the solution for LMF selection to support the LMF-sided direct AI\/ML positioning.","secretary_remarks":"Revision of S2-2403063. 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":26040,"status":"approved","reservation_date":"2024-03-03 17:11:04","uploaded":"2024-03-07 14:31:15","revisionof":"S2-2403063","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_161_Athens_2024-02\/Docs\/S2-2403347.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403590","title":"WT2: New Use Case for Vertical Federated Learning.","source":"Samsung, OPPO, ZTE, Futurewei, Lenovo, ETRI, NTT Docomo, SK Telecom, Huawei, KDDI, Ericsson","contact":"David Gutierrez Estevez","contact-id":70502,"tdoctype":"pCR","for":"Approval","abstract":"This pCR proposes a new use case for KI#2 on NWDAF Support for Sample and Feature Alignment in Analytics.","secretary_remarks":"Revision of S2-2403338. 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":26180,"status":"approved","reservation_date":"2024-03-03 17:12:51","uploaded":"2024-03-07 14:31:17","revisionof":"S2-2403338","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.0.0","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_161_Athens_2024-02\/Docs\/S2-2403590.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403591","title":"Use case for observed service experience analytics based on VFL.","source":"China Mobile, KDDI, Lenovo, vivo, Huawei, OPPO, NTT DOCOMO, Apple, ETRI, Ericsson, Nokia, Samsung, ZTE, Interdigital","contact":"Aihua Li","contact-id":58162,"tdoctype":"pCR","for":"Approval","abstract":"Use case for user experience evaluation based on VFL","secretary_remarks":"Revision of S2-2403339. 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":26250,"status":"approved","reservation_date":"2024-03-03 17:12:51","uploaded":"2024-03-07 14:31:17","revisionof":"S2-2403339","revisedto":"","release":"Rel-19","crspec":"23.700-84","crspecversion":"0.0.0","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_161_Athens_2024-02\/Docs\/S2-2403591.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403592","title":"KI#2: Terminologies definition for VFL.","source":"Vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes to align the definition of terminologies of VFL.","secretary_remarks":"Revision of S2-2403340. 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":26310,"status":"approved","reservation_date":"2024-03-03 17:12:52","uploaded":"2024-03-07 14:31:17","revisionof":"S2-2403340","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_161_Athens_2024-02\/Docs\/S2-2403592.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403593","title":"(KI#4) Use case for NWDAF enhancements to support network abnormal behaviours (i.e. Signalling storm) mitigation and prevention.","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"pCR","for":"Approval","abstract":"This paper proposes a new Use Case#X related to KI#4 for the scenarios where NFs can be source of signalling storm and OAM in the center for prevention and mitigation.","secretary_remarks":"Revision of S2-2403342. 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":26560,"status":"approved","reservation_date":"2024-03-03 17:12:52","uploaded":"2024-03-07 14:31:17","revisionof":"S2-2403342","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_161_Athens_2024-02\/Docs\/S2-2403593.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403594","title":"KI#1: New Solution Direct AI\/ML based Positioning in LMF collocated with AnLF.","source":"Vivo, Intel, ZTE, Lenovo","contact":"vivian chong","contact-id":93021,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution for KI#1 to support Direct AI\/ML based Positioning for case 2b\/3b.","secretary_remarks":"Revision of S2-2403343. 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":25850,"status":"approved","reservation_date":"2024-03-03 17:12:52","uploaded":"2024-03-07 14:31:17","revisionof":"S2-2403343","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_161_Athens_2024-02\/Docs\/S2-2403594.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403595","title":"KI#1: New Solution on LMF Support for AI\/ML Direct Positioning.","source":"Samsung","contact":"David Gutierrez Estevez","contact-id":70502,"tdoctype":"pCR","for":"Approval","abstract":"This pCR proposes a new solution on LMF Support for AI\/ML Direct Positioning.","secretary_remarks":"Revision of S2-2403344. 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":25890,"status":"approved","reservation_date":"2024-03-03 17:12:52","uploaded":"2024-03-07 14:31:17","revisionof":"S2-2403344","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_161_Athens_2024-02\/Docs\/S2-2403595.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403596","title":"Solution about LMF-side model training and inference.","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"pCR","for":"Approval","abstract":"This contribution proposes a solution for KI#1 about model training of LMF-side model at NWDAF and performing inference at LMF for direct AI\/ML positioning","secretary_remarks":"Revision of S2-2403345. 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":25940,"status":"approved","reservation_date":"2024-03-03 17:12:52","uploaded":"2024-03-07 14:31:17","revisionof":"S2-2403345","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_161_Athens_2024-02\/Docs\/S2-2403596.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2403597","title":"Solution for KI#1: Data Collection Framework for Direct AI\/ML positioning.","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"pCR","for":"Approval","abstract":"-","secretary_remarks":"Revision of S2-2403346. 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":26000,"status":"approved","reservation_date":"2024-03-03 17:12:53","uploaded":"2024-03-07 14:31:17","revisionof":"S2-2403346","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_161_Athens_2024-02\/Docs\/S2-2403597.zip","group":"S2","meeting":"S2-161","year":2024,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0}]