Please enter the search related information in the fields below. Partial information works, e.g. "SP-21" in the "tdoc" field lists all TSG SA documents from 2021. Regular expressions mostly work in all fields (e.g. "2[34].501" in the "Spec" field lists all documents related to 23.501 and 24.501. Capitalization is disregarded, i.e. "3GPP" gives the same results as "3gpp".

Download results in JSON format

tdoc Title Type / Revs Source Spec / CR S/WID Release Meeting Status Links
S2-2401924 Solution to key issue 3: PCC enhancements based on service experience analysis . pCR OPPO 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2401925 Solution to key issue 4: Signalling storm detection and mitigation based on O&M data. pCR OPPO 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2401926 [DRAFT] LS to SA WG5 on NAS signalling congestion/signalling storm LS out

LS To: SA WG5

 OPPO Beijing FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2401966 KI#1: New solution for Direct AIML based Positioning in LMF collocated with AnLF pCR

revised to S2-2403059

 vivo 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2401967 KI#2: New solution for Vertical Federated Learning between NWDAF and AF without coordinator pCR vivo 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2401968 WT2: New Use Case for Vertical Federated Learning. pCR

revision of S2-2400312

revised to S2-2403052

 Samsung, OPPO, ZTE, Futurewei, Lenovo, ETRI, NTT Docomo, SK Telecom 23.700-84 0.0.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2401969 KI#3, New Sol: QoS/policy enhancements assisted by NWDAF. pCR Samsung, SK Telecom 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2401970 KI#1: New Solution on LMF Support for AI/ML Direct Positioning. pCR

revised to S2-2403060

 Samsung 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2401971 KI#2: New Solution on NWDAF Support for VFL. pCR Samsung 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2401974 Solution for KI#3: Framework for supporting policy recommendations. pCR Lenovo 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2401985 KI#1: New Solution for NF Registration and Discovery Enhancement for AI/ML positioning. pCR Vivo 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2401986 KI#2: New Solution for NF Registration and Discovery Enhancement for supporting VFL. pCR Vivo 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2401987 KI#2: Terminologies definition for VFL. pCR

revised to S2-2403058

 Vivo 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2401988 Definitions of VFL server and VFL client. pCR ZTE 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2401989 Definitions of VFL and HFL. pCR ZTE 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2401990 Architectural assumptions. pCR ZTE 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2401991 Solution about LMF-side model training and inference. pCR

revised to S2-2403061

 ZTE 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2401992 TR 23.700-84: KI#1 Solution about LMF AI capability report to NRF and LMF selection. pCR ZTE 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2401993 Solution about 2-sides VFL training process. pCR ZTE 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2401994 TR 23.700-84: KI#2 Solution about 2-sides VFL inference process. pCR ZTE 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402003 Data collection procedure for model training of AI/ML based positioning. pCR Vivo 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402012 New solution: NWDAF-assisted policy control for network abnormal behaviours mitigation. pCR KPN N.V. 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402023 Solution for KI#3 Use Case 1: NWDAF Policy Decisions Analytics. pCR Nokia, Nokia Shanghai Bell 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402024 Solution for KI#1: Data Collection Framework for Direct AI/ML positioning. pCR

revised to S2-2403062

 Lenovo 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2402025 Solution for KI#1: ML Model Framework for Direct AI/ML positioning . pCR Lenovo 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402026 Solution for KI#4: Flexible analytics design to support multiple 'signalling storm' scenarios. pCR Lenovo 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402063 New Use Case for WT#2: VFL between NWDAFs. pCR

revision of S2-2400804

revised to S2-2403053

 Huawei, HiSilicon 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2402064 KI#2, New Solution for VFL-based ML training. pCR Huawei, HiSilicon 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402104 TR 23.700-84: New Solution for KI#2 Sample/Feature alignment and general training procedure for the VFL. pCR OPPO 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402105 TR 23.700-84: New Solution for KI#2 General inference procedure for the VFL. pCR OPPO 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402106 TR 23.700-84: KI#2 - VFL terminology definition. pCR OPPO 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402107 TR 23.700-84: New Solution for KI#1 LMF selection to support the LMF-sided direct AI/ML positioning. pCR

revised to S2-2403063

 OPPO 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2402117 23.700-84: KI#1: Solution about LMF based ML model training and Inference. pCR

revised to S2-2403064

 Qualcomm Incorporated 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2402156 KI#2: New Solution for support registration and discovery enhancement for Vertical Federated Learning. pCR KDDI 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402157 KI#2: New Solution for support Vertical Federated Learning model training between NWDAF and AF. pCR KDDI 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402158 KI#2: New Solution for support Vertical Federated Learning Inference between NWDAF and AF . pCR KDDI 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402165 Solution (KI#3): Enhancements to reduce iterations in determining QoS parameters assisted by NWDAF. pCR ETRI 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402181 KI#4: New Sol: NWDAF analytics for signalling storm prediction. pCR NTT DOCOMO 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402186 Solution (KI#3): Enhancement to evaluate NWDAF-assisted policy control and QoS recommendation. pCR ETRI 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402192 KI#4, New Sol: NWDAF Assisted Network Abnormal Behaviour Mitigation and Prevention . pCR Samsung 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402205 Solution for KI#2: Supporting alignment of samples for model training using VFL. pCR Lenovo 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402213 Use case for observed service experience analytics based on VFL. pCR

revision of S2-2401068

revised to S2-2403054

 China Mobile, KDDI, Lenovo, vivo, Huawei, OPPO, NTT DOCOMO, Apple, ETRI, Ericsson, KDDI 23.700-84 0.0.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2402215 General procedure for Vertical Federated Learning between NWDAF(s) and AF(s) . pCR China Mobile 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402221 New Solution for Supporting AI/ML based positioning for LMF-side model. pCR Huawei, HiSilicon 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402222 Update of KI#1. pCR Huawei, HiSilicon 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 merged [WTS] [JSN]
S2-2402223 NWDAF-assisted policy control with Recommendation logical function. pCR Huawei, HiSilicon 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402225 New Solution on NWDAF-assisted LMF trains model and monitor model performance for Direct AI/ML based positioning. pCR China Mobile 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402226 New Solution on NWDAF-assisted for 5GC handling of abnormal network behaviors. pCR China Mobile 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402239 KI#1 new solution of Direct AI/ML based positioning with NWDAF assistance. pCR CATT 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402240 KI#3 new solution of NWDAF assisted QoS policy generation. pCR CATT 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402250 Terminology proposals for VFL. pCR Samsung 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402264 KI#3 New solution PCF as RL Agent and NWDAF as Interpreter enhancement. pCR Ericsson 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402266 KI#1 Updates to KI#1 on Enhancements to LCS to support Direct AI/ML based Positioning. pCR Ericsson 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 merged [WTS] [JSN]
S2-2402267 KI#1, New Solution LMF provides AIML based positioning . pCR Ericsson 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402268 KI#2, new Solution: Cross domain VFL involving NWDAF and AF. pCR Ericsson 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 merged [WTS] [JSN]
S2-2402269 (KI#4) Solution for NWDAF enhancements to support network abnormal behaviours (i.e. Signalling storm) mitigation and prevention. pCR Ericsson 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402270 (KI#3) Changes in the use case #1. pCR

revised to S2-2403056

 Ericsson 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2402271 (KI#4) Use case for NWDAF enhancements to support network abnormal behaviours (i.e. Signalling storm) mitigation and prevention. pCR

revised to S2-2403057

 Ericsson 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2402297 EN removal from architectural assumptions and requirements. pCR

revised to S2-2403049

 Samsung 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2402356 [DRAFT] LS on data collection to enable ML model training and inference in 5GC for Direct AI/ML based positioning LS out

LS To: RAN WG1, RAN WG2

 Intel Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402365 Solution (KI#2): How to support Vertical Federated Learning between NWDAF and AF. pCR ETRI 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402368 KI#1:Solution for Enhancements to LCS to support Direct AI/ML based Positioning supported by NWDAF. pCR Intel 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402435 New Solution for KI#1: Model training and obtaining for AI/ML based positioning. pCR China Telecom 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402436 New Solution for KI#4: Registration signalling analytics to support detection and prevention of signalling storm. pCR China Telecom 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402462 Solution (KI#4): New Analytics of NAS-Level Congestion Control for Network Abnormal Behaviour. pCR ETRI 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402508 KI#4, New Solution: NWDAF Assisted Detection and Mitigation of Signalling Storm. pCR Huawei, HiSilicon 23.700-84 18.3.0 DUMMY Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402542 New solution for KI#2: Procedure for VFL initiation and preparation. pCR Futurewei 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402658 23.700-84: Architecture Assumptions and Requirements Editor s note. pCR MediaTek Inc. (Rapporteur), vivo (Rapporteur) 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 merged [WTS] [JSN]
S2-2402659 23.700-84: Mapping of Key Issues to Use Cases. pCR

revised to S2-2403050

 MediaTek Inc. (Rapporteur), vivo (Rapporteur) 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2402660 New Sol: NWDAF assisted PDU Set assistance information. pCR MediaTek Inc. 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402666 BDT Policy Recommendations. pCR Lenovo 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402731 Miscellaneous Corrections of Key Issues. pCR

revised to S2-2403051

 Vivo 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2402732 KI#4: New Solution SBA signaling storm mitigation and prevention based on NWDAF detection and prediction. pCR Vivo 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402733 KI#4: New Solution NAS signaling storm mitigation and prevention based on NWDAF detection and prediction. pCR Vivo 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402750 KI#4, New Solution: NWDAF-assisted Network Abnormal Behaviour Mitigation and Prevention. pCR SK Telecom 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402762 KI#4, New Sol: NWDAF Assisted Network Abnormal Behaviour Mitigation and Prevention. pCR Samsung 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402829 WT#2: New Use Case for Vertical Federated Learning inside 5GC. pCR Ericsson 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 merged [WTS] [JSN]
S2-2402937 KI#1, New Solution, Handling of Direct AIML Positioning . pCR InterDigital Inc. 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402953 New solution for KI#1: Support Direct AI/ML based Positioning with train entity in NWDAF . pCR Xiaomi 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402987 KI#2, New Solution, Support for VFL in 5GC. pCR InterDigital Inc. 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 not treated [WTS] [JSN]
S2-2402990 New use case for Vertical Federated Learning . pCR

revised to S2-2403055

 InterDigital Inc. 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2403049 EN removal from architectural assumptions and requirements. pCR

revision of S2-2402297

 Samsung 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 approved [WTS] [JSN]
S2-2403050 23.700-84: Mapping of Key Issues to Use Cases. pCR

revision of S2-2402659

revised to S2-2403337

 MediaTek Inc. (Rapporteur), vivo (Rapporteur), Ericsson, Samsung, InterDigital 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2403051 Miscellaneous Corrections of Key Issues. pCR

revision of S2-2402731

revised to S2-2403336

 Vivo, Huawei, HiSilicon, Ericsson 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2403052 WT2: New Use Case for Vertical Federated Learning. pCR

revision of S2-2401968

revised to S2-2403338

 Samsung, OPPO, ZTE, Futurewei, Lenovo, ETRI, NTT Docomo, SK Telecom, Huawei, KDDI 23.700-84 0.0.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2403053 New Use Case for WT#2: VFL between NWDAFs. pCR

revision of S2-2402063

 Huawei, HiSilicon 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 noted [WTS] [JSN]
S2-2403054 Use case for observed service experience analytics based on VFL. pCR

revision of S2-2402213

revised to S2-2403339

 China Mobile, KDDI, Lenovo, vivo, Huawei, OPPO, NTT DOCOMO, Apple, ETRI, Ericsson, KDDI, Nokia 23.700-84 0.0.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2403055 New use case for Vertical Federated Learning . pCR

revision of S2-2402990

 InterDigital Inc. 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 noted [WTS] [JSN]
S2-2403056 (KI#3) Changes in the use case #1. pCR

revision of S2-2402270

revised to S2-2403341

 Ericsson 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2403057 (KI#4) Use case for NWDAF enhancements to support network abnormal behaviours (i.e. Signalling storm) mitigation and prevention. pCR

revision of S2-2402271

revised to S2-2403342

 Ericsson 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2403058 KI#2: Terminologies definition for VFL. pCR

revision of S2-2401987

revised to S2-2403340

 Vivo 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2403059 KI#1: New solution for Direct AIML based Positioning in LMF collocated with AnLF pCR

revision of S2-2401966

revised to S2-2403343

 vivo 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2403060 KI#1: New Solution on LMF Support for AI/ML Direct Positioning. pCR

revision of S2-2401970

revised to S2-2403344

 Samsung 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2403061 Solution about LMF-side model training and inference. pCR

revision of S2-2401991

revised to S2-2403345

 ZTE 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2403062 Solution for KI#1: Data Collection Framework for Direct AI/ML positioning. pCR

revision of S2-2402024

revised to S2-2403346

 Lenovo 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2403063 TR 23.700-84: New Solution for KI#1 LMF selection to support the LMF-sided direct AI/ML positioning. pCR

revision of S2-2402107

revised to S2-2403347

 OPPO, ZTE 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2403064 23.700-84: KI#1: Solution about LMF based ML model training and Inference. pCR

revision of S2-2402117

 Qualcomm Incorporated, Huawei 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 approved [WTS] [JSN]
S2-2403336 Miscellaneous Corrections of Key Issues. pCR

revision of S2-2403051

 Vivo, Huawei, HiSilicon, Ericsson 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 approved [WTS] [JSN]
S2-2403337 23.700-84: Mapping of Key Issues to Use Cases. pCR

revision of S2-2403050

 MediaTek Inc. (Rapporteur), vivo (Rapporteur), Ericsson, Samsung, InterDigital, Nokia 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 approved [WTS] [JSN]
S2-2403338 WT2: New Use Case for Vertical Federated Learning. pCR

revision of S2-2403052

revised to S2-2403590

 Samsung, OPPO, ZTE, Futurewei, Lenovo, ETRI, NTT Docomo, SK Telecom, Huawei, KDDI 23.700-84 0.0.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2403339 Use case for observed service experience analytics based on VFL. pCR

revision of S2-2403054

revised to S2-2403591

 China Mobile, KDDI, Lenovo, vivo, Huawei, OPPO, NTT DOCOMO, Apple, ETRI, Ericsson, KDDI, Nokia 23.700-84 0.0.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2403340 KI#2: Terminologies definition for VFL. pCR

revision of S2-2403058

revised to S2-2403592

 Vivo 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2403341 (KI#3) Changes in the use case #1. pCR

revision of S2-2403056

 Ericsson 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 approved [WTS] [JSN]
S2-2403342 (KI#4) Use case for NWDAF enhancements to support network abnormal behaviours (i.e. Signalling storm) mitigation and prevention. pCR

revision of S2-2403057

revised to S2-2403593

 Ericsson 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2403343 KI#1: New Solution Direct AI/ML based Positioning in LMF collocated with AnLF. pCR

revision of S2-2403059

revised to S2-2403594

 Vivo, Intel, ZTE, Lenovo 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2403344 KI#1: New Solution on LMF Support for AI/ML Direct Positioning. pCR

revision of S2-2403060

revised to S2-2403595

 Samsung 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2403345 Solution about LMF-side model training and inference. pCR

revision of S2-2403061

revised to S2-2403596

 ZTE 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2403346 Solution for KI#1: Data Collection Framework for Direct AI/ML positioning. pCR

revision of S2-2403062

revised to S2-2403597

 Lenovo 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 revised [WTS] [JSN]
S2-2403347 TR 23.700-84: New Solution for KI#1 LMF selection to support the LMF-sided direct AI/ML positioning. pCR

revision of S2-2403063

 OPPO, ZTE 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 approved [WTS] [JSN]
S2-2403590 WT2: New Use Case for Vertical Federated Learning. pCR

revision of S2-2403338

 Samsung, OPPO, ZTE, Futurewei, Lenovo, ETRI, NTT Docomo, SK Telecom, Huawei, KDDI, Ericsson 23.700-84 0.0.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 approved [WTS] [JSN]
S2-2403591 Use case for observed service experience analytics based on VFL. pCR

revision of S2-2403339

 China Mobile, KDDI, Lenovo, vivo, Huawei, OPPO, NTT DOCOMO, Apple, ETRI, Ericsson, Nokia, Samsung, ZTE, Interdigital 23.700-84 0.0.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 approved [WTS] [JSN]
S2-2403592 KI#2: Terminologies definition for VFL. pCR

revision of S2-2403340

 Vivo 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 approved [WTS] [JSN]
S2-2403593 (KI#4) Use case for NWDAF enhancements to support network abnormal behaviours (i.e. Signalling storm) mitigation and prevention. pCR

revision of S2-2403342

 Ericsson 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 approved [WTS] [JSN]
S2-2403594 KI#1: New Solution Direct AI/ML based Positioning in LMF collocated with AnLF. pCR

revision of S2-2403343

 Vivo, Intel, ZTE, Lenovo 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 approved [WTS] [JSN]
S2-2403595 KI#1: New Solution on LMF Support for AI/ML Direct Positioning. pCR

revision of S2-2403344

 Samsung 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 approved [WTS] [JSN]
S2-2403596 Solution about LMF-side model training and inference. pCR

revision of S2-2403345

 ZTE 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 approved [WTS] [JSN]
S2-2403597 Solution for KI#1: Data Collection Framework for Direct AI/ML positioning. pCR

revision of S2-2403346

 Lenovo 23.700-84 0.1.0 FS_AIML_CN Rel-19 S2-161

AI: 19.15

 approved [WTS] [JSN]

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