|
| 23.273 | 0627 | - | B | 19.0.0 | Rel-19 | Update the input data based on RAN LS feedback. |
S2-2412034
| | SA2#166 | Xiaomi |
| | | | | AIML_CN |
|
|
| 23.273 | 0622 | - | B | 19.0.0 | Rel-19 | Support of ML model provisioning from NWDAF to LMF |
S2-2411787
| | SA2#166 | Huawei, HiSilicon |
| | | | | AIML_CN |
|
|
| 23.273 | 0619 | - | F | 19.0.0 | Rel-19 | Updates to the procedures of data collection for LMF-based AI/ML Positioning |
S2-2411567
| | SA2#166 | CEWiT |
| | | | | AIML_CN |
|
|
| 23.273 | 0618 | - | F | 19.0.0 | Rel-19 | Updates to support for UE positioning based on a ML Model at the LMF |
S2-2411566
| | SA2#166 | CEWiT |
| | | | | AIML_CN |
|
|
| 23.273 | 0602 | - | B | 19.0.0 | Rel-19 | Update on Data Collection at LMF to train AI/ML based positioning model |
S2-2410521
| not treated | SA2#165 | InterDigital, Inc. |
| | | | | AIML_CN |
|
|
| 23.273 | 0601 | - | B | 19.0.0 | Rel-19 | Data collection for AI/ML positioning model training based on NG-RAN measurements |
S2-2410517
| not treated | SA2#165 | InterDigital, Inc. |
| | | | | AIML_CN |
|
|
| 23.273 | 0600 | 1 | B | 19.0.0 | Rel-19 | LMF selection for AI/ML based positioning |
S2-2411718
| | SA2#166 | InterDigital, Inc. |
| | | | | AIML_CN |
|
|
| 23.273 | 0600 | - | B | 19.0.0 | Rel-19 | LMF selection for AI/ML based positioning |
S2-2410510
| revised | SA2#165 | InterDigital, Inc. |
| | | | | AIML_CN |
|
|
| 23.273 | 0598 | - | B | 19.0.0 | Rel-19 | Enhancements for LMF-based AI/ML positioning |
S2-2410263
| not treated | SA2#165 | CATT |
| | | | | AIML_CN |
|
|
| 23.273 | 0597 | 11 | B | 19.0.0 | Rel-19 | KI#1 - Addressing Editor s Note: Procedure for Data Collection for AI/ML based positioning from NG-RAN |
S2-2412429
| | SA2#166 | Ericsson, [Xiao... |
| | | | | AIML_CN |
|
|
| 23.273 | 0597 | 10 | B | 19.0.0 | Rel-19 | KI#1 - Addressing Editor s Note: Procedure for Data Collection for AI/ML based positioning from NG-RAN |
S2-2412350
| | SA2#166 | Ericsson, [Xiao... |
| | | | | AIML_CN |
|
|
| 23.273 | 0597 | 9 | B | 19.0.0 | Rel-19 | KI#1 - Addressing Editor s Note: Procedure for Data Collection for AI/ML based positioning from NG-RAN |
S2-2411697
| | SA2#166 | [Ericsson, Xiao... |
| | | | | AIML_CN |
|
|
| 23.273 | 0597 | 8 | F | 19.0.0 | Rel-19 | KI#1 - Addressing Editor s Note: Procedure for Data Collection for AI/ML based positioning from NG-RAN |
S2-2411638
| revised | SA2#166 | Ericsson, [Xiao... |
| | | | | AIML_CN |
|
|
| 23.273 | 0597 | 7 | B | 19.0.0 | Rel-19 | KI#1 - Addressing Editor s Note: Procedure for Data Collection for AI/ML based positioning from NG-RAN |
S2-2411619
| | SA2#166 | [Ericsson, Xiao... |
| | | | | AIML_CN |
|
|
| 23.273 | 0597 | 6 | B | 19.0.0 | Rel-19 | KI#1 - Addressing Editor s Note: Procedure for Data Collection for AI/ML based positioning from NG-RAN |
S2-2411569
| | SA2#166 | [Ericsson], Xia... |
| | | | | AIML_CN |
|
|
| 23.273 | 0597 | 5 | B | 19.0.0 | Rel-19 | KI#1 - Addressing Editor s Note: Procedure for Data Collection for AI/ML based positioning from NG-RAN |
S2-2411368
| | SA2#166 | [Ericsson, Xiao... |
| | | | | AIML_CN |
|
|
| 23.273 | 0597 | 4 | B | 19.0.0 | Rel-19 | KI#1 - Addressing Editor´s Note: Procedure for Data Collection for AI/ML based positioning from NG-RAN |
S2-2411257
| revised | SA2#165 | Ericsson, Xiaom... |
| | | | | AIML_CN |
|
|
| 23.273 | 0597 | 3 | B | 19.0.0 | Rel-19 | KI#1 - Addressing Editor s Note: Procedure for Data Collection for AI/ML based positioning from NG-RAN |
S2-2410982
| revised | SA2#165 | Ericsson |
| | | | | AIML_CN |
|
|
| 23.273 | 0597 | 2 | B | 19.0.0 | Rel-19 | KI#1 - Addressing Editor s Note: Procedure for Data Collection for AI/ML based positioning from NG-RAN |
S2-2410668
| revised | SA2#165 | Ericsson, Nokia... |
| | | | | AIML_CN |
|
|
| 23.273 | 0597 | 1 | B | 19.0.0 | Rel-19 | KI#1 - Addressing Editor s Note: Procedure for Data Collection for AI/ML based positioning from NG-RAN |
S2-2410663
| revised | SA2#165 | Ericsson, Inter... |
| | | | | AIML_CN |
|
|
| 23.273 | 0597 | - | B | 19.0.0 | Rel-19 | KI#1 - Addressing Editor s Note: Procedure for Data Collection for AI/ML based positioning from NG-RAN |
S2-2410214
| revised | SA2#165 | Ericsson |
| | | | | AIML_CN |
|
|
| 23.273 | 0596 | - | B | 19.0.0 | Rel-19 | Update the input data to train LMF-based positioning Model |
S2-2410206
| not treated | SA2#165 | Xiaomi |
| | | | | AIML_CN |
|
|
| 23.273 | 0595 | 2 | B | 19.0.0 | Rel-19 | Support AI/ML model performance monitoring by LMF |
S2-2410981
| agreed | SA2#165 | Xiaomi, Nokia, ... |
| | | | | AIML_CN |
|
|
| 23.273 | 0595 | 1 | B | 19.0.0 | Rel-19 | Support AI/ML model performance monitoring by LMF |
S2-2410674
| revised | SA2#165 | Xiaomi, Nokia, ... |
| | | | | AIML_CN |
|
|
| 23.273 | 0595 | - | B | 19.0.0 | Rel-19 | Support AI/ML model performance monitoring by LMF |
S2-2410204
| revised | SA2#165 | Xiaomi |
| | | | | AIML_CN |
|
|
| 23.273 | 0590 | 1 | F | 19.0.0 | Rel-19 | Update of UE data collection at LMF for AI/ML based positioning model training |
S2-2410673
| withdrawn | SA2#165 | Qualcomm Incorp... |
| | | | | AIML_CN |
|
|
| 23.273 | 0590 | - | F | 19.0.0 | Rel-19 | Update of UE data collection at LMF for AI/ML based positioning model training |
S2-2410135
| merged | SA2#165 | Qualcomm Incorp... |
| | | | | AIML_CN |
|
|
| 23.273 | 0584 | 9 | B | 19.0.0 | Rel-19 | Update on Data Collection by LMF procedure |
S2-2412428
| | SA2#166 | [Lenovo, Qualco... |
| | | | | AIML_CN |
|
|
| 23.273 | 0584 | 8 | B | 19.0.0 | Rel-19 | Update on Data Collection by LMF procedure |
S2-2411879
| | SA2#166 | [Lenovo, Qualco... |
| | | | | AIML_CN |
|
|
| 23.273 | 0584 | 7 | B | 19.0.0 | Rel-19 | Update on Data Collection by LMF procedure |
S2-2411588
| | SA2#166 | Xiaomi, [Lenovo... |
| | | | | AIML_CN |
|
|
| 23.273 | 0584 | 6 | B | 19.0.0 | Rel-19 | Update on Data Collection by LMF procedure |
S2-2411571
| withdrawn | SA2#166 | Lenovo, Qualcom... |
| | | | | AIML_CN |
|
|
| 23.273 | 0584 | 5 | B | 19.0.0 | Rel-19 | Update on Data Collection by LMF procedure |
S2-2411559
| | SA2#166 | Qualcomm Incorp... |
| | | | | AIML_CN |
|
|
| 23.273 | 0584 | 4 | B | 19.0.0 | Rel-19 | Update on Data Collection by LMF procedure |
S2-2411367
| | SA2#166 | [Lenovo, Qualco... |
| | | | | AIML_CN |
|
|
| 23.273 | 0584 | 3 | B | 19.0.0 | Rel-19 | Update on Data Collection by LMF procedure |
S2-2411256
| revised | SA2#165 | Lenovo, Qualcom... |
| | | | | AIML_CN |
|
|
| 23.273 | 0584 | 2 | B | 19.0.0 | Rel-19 | Update on Data Collection by LMF procedure |
S2-2410979
| revised | SA2#165 | Lenovo, Qualcom... |
| | | | | AIML_CN |
|
|
| 23.273 | 0584 | 1 | B | 19.0.0 | Rel-19 | Update on Data Collection by LMF procedure |
S2-2410671
| revised | SA2#165 | Lenovo, Qualcom... |
| | | | | AIML_CN |
|
|
| 23.273 | 0584 | - | B | 19.0.0 | Rel-19 | Update on Data Collection by LMF procedure |
S2-2409889
| revised | SA2#165 | Lenovo |
| | | | | AIML_CN |
|
|
| 23.273 | 0583 | - | B | 19.0.0 | Rel-19 | KI#1: Bulk data collecion by MTLF from LMF |
S2-2409864
| not treated | SA2#165 | Nokia |
| | | | | AIML_CN |
|
|
| 23.273 | 0582 | - | B | 19.0.0 | Rel-19 | KI#1: Bulk data collecion by MTLF from LMF |
S2-2409861
| merged | SA2#165 | Nokia |
| | | | | AIML_CN |
|
|
| 23.273 | 0581 | - | B | 19.0.0 | Rel-19 | KI#1: model retrieval via Pseudo Analytics ID |
S2-2409860
| not treated | SA2#165 | Nokia |
| | | | | AIML_CN |
|
|
| 23.273 | 0574 | 10 | B | 19.0.0 | Rel-19 | LMF enhancements for LMF-based AI/ML Positioning |
S2-2412425
| | SA2#166 | Huawei, HiSilic... |
| | | | | AIML_CN |
|
|
| 23.273 | 0574 | 9 | B | 19.0.0 | Rel-19 | LMF enhancements for LMF-based AI/ML Positioning |
S2-2412078
| | SA2#166 | [Huawei, HiSili... |
| | | | | AIML_CN |
|
|
| 23.273 | 0574 | 8 | B | 19.0.0 | Rel-19 | LMF enhancements for LMF-based AI/ML Positioning |
S2-2412015
| withdrawn | SA2#166 | Huawei, HiSilic... |
| | | | | AIML_CN |
|
|
| 23.273 | 0574 | 7 | B | 19.0.0 | Rel-19 | LMF enhancements for LMF-based AI/ML Positioning |
S2-2412004
| | SA2#166 | Xiaomi, [Huawei... |
| | | | | AIML_CN |
|
|
| 23.273 | 0574 | 6 | B | 19.0.0 | Rel-19 | LMF enhancements for LMF-based AI/ML Positioning |
S2-2411972
| | SA2#166 | [Huawei, HiSili... |
| | | | | AIML_CN |
|
|
| 23.273 | 0574 | 5 | B | 19.0.0 | Rel-19 | LMF enhancements for LMF-based AI/ML Positioning |
S2-2411783
| | SA2#166 | Huawei, HiSilic... |
| | | | | AIML_CN |
|
|
| 23.273 | 0574 | 4 | B | 19.0.0 | Rel-19 | LMF enhancements for LMF-based AI/ML Positioning |
S2-2411580
| | SA2#166 | Xiaomi, [Huawei... |
| | | | | AIML_CN |
|
|
| 23.273 | 0574 | 3 | B | 19.0.0 | Rel-19 | LMF enhancements for LMF-based AI/ML Positioning |
S2-2411366
| | SA2#166 | [Huawei, HiSili... |
| | | | | AIML_CN |
|
|
| 23.273 | 0574 | 2 | B | 19.0.0 | Rel-19 | LMF enhancements for LMF-based AI/ML Positioning |
S2-2410978
| revised | SA2#165 | Huawei, HiSilic... |
| | | | | AIML_CN |
|
|
| 23.273 | 0574 | 1 | B | 19.0.0 | Rel-19 | LMF enhancements for LMF-based AI/ML Positioning |
S2-2410670
| revised | SA2#165 | Huawei, HiSilic... |
| | | | | AIML_CN |
|
|
| 23.273 | 0574 | - | B | 19.0.0 | Rel-19 | LMF enhancements for LMF-based AI/ML Positioning |
S2-2409794
| revised | SA2#165 | Huawei, HiSilicon |
| | | | | AIML_CN |
|
|
| 23.273 | 0571 | - | B | 19.0.0 | Rel-19 | Data collection for AI/ML based positioning |
S2-2409683
| not treated | SA2#165 | Vivo |
| | | | | AIML_CN |
|
|
| 23.273 | 0542 | 1 | B | 19.0.0 | Rel-19 | Procedure for LMF to retrieve ML models in TS23.273 |
S2-2409832
| not treated | SA2#165 | China Mobile |
| | | | | AIML_CN |
|
|
| 23.273 | 0537 | 3 | B | 19.0.0 | Rel-19 | ML Model based UE positioning support |
S2-2410980
| agreed | SA2#165 | NTT DOCOMO, Ericsson |
| | | | | AIML_CN |
|
|
| 23.273 | 0537 | 2 | B | 19.0.0 | Rel-19 | ML Model based UE positioning support |
S2-2410672
| revised | SA2#165 | NTT DOCOMO, Ericsson |
| | | | | AIML_CN |
|
|
| 23.273 | 0537 | 1 | B | 19.0.0 | Rel-19 | ML Model based UE positioning support |
S2-2409966
| revised | SA2#165 | NTT DOCOMO |
| | | | | AIML_CN |
|
|
| 23.273 | 0535 | 2 | B | 19.0.0 | Rel-19 | Support of LMF selection based on AI/ML based positioning capability |
S2-2410669
| withdrawn | SA2#165 | ZTE, China Tele... |
| | | | | AIML_CN |
|
|
| 23.273 | 0535 | 1 | B | 19.0.0 | Rel-19 | Support of LMF selection based on AI/ML based positioning capability |
S2-2409636
| noted | SA2#165 | ZTE, China Tele... |
| | | | | AIML_CN |
|
|
| 23.288 | 1298 | - | B | 19.0.0 | Rel-19 | VFL training procedure and VFL inference procedure with AF as a VFL server |
S2-2412136
| | SA2#166 | Interdigital |
| | | | | AIML_CN |
|
|
| 23.288 | 1297 | - | B | 19.0.0 | Rel-19 | Editor's Note removal for VFL procedures. |
S2-2412030
| | SA2#166 | KDDI |
| | | | | AIML_CN |
|
|
| 23.288 | 1296 | 1 | B | 19.0.0 | Rel-19 | New analytics for QoS and Policy Assistance |
S2-2412438
| | SA2#166 | Huawei, HiSilic... |
| | | | | AIML_CN |
|
|
| 23.288 | 1296 | - | B | 19.0.0 | Rel-19 | New analytics for QoS and Policy Assistance |
S2-2411965
| | SA2#166 | Huawei, HiSilic... |
| | | | | AIML_CN |
|
|
| 23.288 | 1292 | - | A | 19.0.0 | Rel-19 | Clarification on the Analytics metadata information |
S2-2411940
| | SA2#166 | vivo |
| | | | | AIML_CN |
|
|
| 23.288 | 1291 | - | A | 18.7.0 | Rel-18 | Clarification on the Analytics metadata information |
S2-2411939
| | SA2#166 | vivo |
| | | | | AIML_CN |
|
|
| 23.288 | 1290 | - | F | 17.12.0 | Rel-17 | Clarification on the Analytics metadata information |
S2-2411938
| | SA2#166 | vivo |
| | | | | AIML_CN |
|
|
| 23.288 | 1284 | - | B | 19.0.0 | Rel-19 | KI#2 Introduction of VFL client training service for AF as the VFL client |
S2-2411841
| | SA2#166 | NTT DOCOMO |
| | | | | AIML_CN |
|
|
| 23.288 | 1283 | - | B | 19.0.0 | Rel-19 | KI#2 Introduction of VFL inference service for NWDAF as the VFL sever |
S2-2411840
| | SA2#166 | NTT DOCOMO |
| | | | | AIML_CN |
|
|
| 23.288 | 1282 | - | B | 19.0.0 | Rel-19 | Data collection from LMF for LMF-based AIML Positioning |
S2-2411784
| | SA2#166 | Huawei, HiSilicon |
| | | | | AIML_CN |
|
|
| 23.288 | 1281 | - | B | 19.0.0 | Rel-19 | KI#2: NEF Service operation to discover VFL client |
S2-2411732
| withdrawn | SA2#166 | LG Electronics |
| | | | | AIML_CN |
|
|
| 23.288 | 1280 | - | B | 19.0.0 | Rel-19 | KI#2: VFL inference procedure when untrusted AF is acting as VFL server |
S2-2411731
| | SA2#166 | LG Electronics |
| | | | | AIML_CN |
|
|
| 23.288 | 1279 | - | B | 19.0.0 | Rel-19 | KI#2: VFL training procedure when untrusted AF is acting as VFL server |
S2-2411730
| | SA2#166 | LG Electronics |
| | | | | AIML_CN |
|
|
| 23.288 | 1278 | - | B | 19.0.0 | Rel-19 | Preparation Procedure for Vertical Federated Learning |
S2-2411615
| | SA2#166 | Samsung |
| | | | | AIML_CN |
|
|
| 23.288 | 1277 | - | B | 19.0.0 | Rel-19 | LMF enhancements for LMF-based AI/ML Positioning |
S2-2411548
| withdrawn | SA2#166 | [Huawei, HiSili... |
| | | | | AIML_CN |
|
|
| 23.288 | 1276 | - | B | 19.0.0 | Rel-19 | Update on Data Collection by LMF procedure |
S2-2411547
| withdrawn | SA2#166 | [Lenovo, Qualco... |
| | | | | AIML_CN |
|
|
| 23.288 | 1275 | 1 | B | 19.0.0 | Rel-19 | Update to model provisioning for LMF-based AIML positioning |
S2-2412441
| | SA2#166 | CATT |
| | | | | AIML_CN |
|
|
| 23.288 | 1275 | - | B | 19.0.0 | Rel-19 | Update to model provisioning for LMF-based AIML positioning |
S2-2411509
| | SA2#166 | CATT |
| | | | | AIML_CN |
|
|
| 23.288 | 1274 | - | B | 19.0.0 | Rel-19 | 23.501 KI#1 and KI#2 alignment |
S2-2411499
| withdrawn | SA2#166 | ZTE |
| | | | | AIML_CN |
|
|
| 23.288 | 1273 | - | B | 19.0.0 | Rel-19 | 23.288 : Accuracy monitoring for QoS and Policy Assistance Analytics |
S2-2411462
| | SA2#166 | ETRI, Samsung, ... |
| | | | | AIML_CN |
|
|
| 23.288 | 1272 | - | B | 19.0.0 | Rel-19 | Adding new service consumer for AIML based positioning |
S2-2411400
| | SA2#166 | ZTE |
| | | | | AIML_CN |
|
|
| 23.288 | 1271 | 1 | B | 19.0.0 | Rel-19 | KI#1: Using New LMF DataCollection service to collect input data for model training |
S2-2412457
| | SA2#166 | Nokia |
| | | | | AIML_CN |
|
|
| 23.288 | 1271 | - | B | 19.0.0 | Rel-19 | KI#1: Using New LMF DataCollection service to collect input data for model training |
S2-2411363
| | SA2#166 | Nokia |
| | | | | AIML_CN |
|
|
| 23.288 | 1269 | 2 | B | 19.0.0 | Rel-19 | High level description refinement of NWDAF initiated VFL training |
S2-2412455
| | SA2#166 | ZTE |
| | | | | AIML_CN |
|
|
| 23.288 | 1269 | 1 | B | 19.0.0 | Rel-19 | High level description refinement of NWDAF initiated VFL training |
S2-2411344
| | SA2#166 | ZTE |
| | | | | AIML_CN |
|
|
| 23.288 | 1269 | - | B | 19.0.0 | Rel-19 | Terminology and high level description alignment of VFL |
S2-2411321
| revised | SA2#166 | ZTE |
| | | | | AIML_CN |
|
|
| 23.288 | 1268 | - | B | 19.0.0 | Rel-19 | Refinements of NWDAF initiated VFL training procedure |
S2-2411320
| withdrawn | SA2#166 | ZTE |
| | | | | AIML_CN |
|
|
| 23.288 | 1263 | - | B | 19.0.0 | Rel-19 | Update to General inference procedure for vertical federated learning to address ENs |
S2-2410551
| not treated | SA2#165 | Interdigital |
| | | | | AIML_CN |
|
|
| 23.288 | 1262 | - | B | 19.0.0 | Rel-19 | Update Discovery and Selection of NWDAF and AF for VFL as per outstanding Editor s notes |
S2-2410550
| not treated | SA2#165 | Interdigital, ICS |
| | | | | AIML_CN |
|
|
| 23.288 | 1261 | - | B | 19.0.0 | Rel-19 | VFL Procedures for discovery and sample/feature alignment |
S2-2410537
| not treated | SA2#165 | Interdigital |
| | | | | AIML_CN |
|
|
| 23.288 | 1259 | - | B | 19.0.0 | Rel-19 | General preparation procedure for Vertical Federated Learning. |
S2-2410307
| not treated | SA2#165 | KDDI |
| | | | | AIML_CN |
|
|
| 23.288 | 1258 | - | C | 19.0.0 | Rel-19 | Remove EN on Vertical Federated Learning procedures when NWDAF is VFL Server |
S2-2410300
| not treated | SA2#165 | KDDI |
| | | | | AIML_CN |
|
|
| 23.288 | 1257 | - | B | 19.0.0 | Rel-19 | KI#2 Introduction of VFL inference service |
S2-2410292
| postponed | SA2#165 | NTT DOCOMO |
| | | | | AIML_CN |
|
|
| 23.288 | 1256 | - | B | 19.0.0 | Rel-19 | KI#2 Adding functionality to VFL for sample alignment |
S2-2410289
| not treated | SA2#165 | NTT DOCOMO |
| | | | | AIML_CN |
|
|
| 23.288 | 1255 | 1 | B | 19.0.0 | Rel-19 | Support of QoS policy assistance information analytics |
S2-2411512
| | SA2#166 | CATT |
| | | | | AIML_CN |
|
|
| 23.288 | 1255 | - | B | 19.0.0 | Rel-19 | Support of QoS policy assistance information analytics |
S2-2410266
| revised | SA2#165 | CATT |
| | | | | AIML_CN |
|
|
| 23.288 | 1253 | 5 | B | 19.0.0 | Rel-19 | Support AI/ML model performance monitoring by NWDAF |
S2-2412426
| | SA2#166 | [Xiaomi, Nokia,... |
| | | | | AIML_CN |
|
|
| 23.288 | 1253 | 4 | B | 19.0.0 | Rel-19 | Support AI/ML model performance monitoring by NWDAF |
S2-2412053
| | SA2#166 | [Xiaomi, Nokia,... |
| | | | | AIML_CN |
|
|
| 23.288 | 1253 | 3 | B | 19.0.0 | Rel-19 | Support AI/ML model performance monitoring by NWDAF |
S2-2411788
| | SA2#166 | [Xiaomi, Nokia,... |
| | | | | AIML_CN |
|
|
| 23.288 | 1253 | 2 | B | 19.0.0 | Rel-19 | Support AI/ML model performance monitoring by NWDAF |
S2-2410995
| revised | SA2#165 | Xiaomi, Nokia, ... |
| | | | | AIML_CN |
|
|
| 23.288 | 1253 | 1 | B | 19.0.0 | Rel-19 | Support AI/ML model performance monitoring by NWDAF |
S2-2410682
| revised | SA2#165 | Xiaomi, Nokia, ... |
| | | | | AIML_CN |
|
|
| 23.288 | 1253 | - | B | 19.0.0 | Rel-19 | Support AI/ML model performance monitoring by NWDAF |
S2-2410205
| revised | SA2#165 | Xiaomi |
| | | | | AIML_CN |
|
|
| 23.288 | 1252 | - | B | 19.0.0 | Rel-19 | KI#2: Preparation procedure including sample alignment for AF-initiated VFL |
S2-2410145
| merged | SA2#165 | ETRI |
| | | | | AIML_CN |
|
|
| 23.288 | 1251 | - | B | 19.0.0 | Rel-19 | Updates to General inference procedure for vertical federated learning |
S2-2410089
| merged | SA2#165 | Huawei, HiSilicon |
| | | | | AIML_CN |
|
|
| 23.288 | 1250 | - | B | 19.0.0 | Rel-19 | Sample alignment and sample update for Vertical Federated Learning |
S2-2410077
| merged | SA2#165 | Apple |
| | | | | AIML_CN |
|
|
| 23.288 | 1249 | - | B | 19.0.0 | Rel-19 | Registration and Discovery procedure for VFL When AF is VFL Server |
S2-2410062
| merged | SA2#165 | LG Electronics |
| | | | | AIML_CN |
|
|
| 23.288 | 1248 | - | B | 19.0.0 | Rel-19 | Resolving ENs to support Vertical Federated Learning |
S2-2410061
| postponed | SA2#165 | LG Electronics |
| | | | | AIML_CN |
|
|
| 23.288 | 1247 | 1 | B | 19.0.0 | Rel-19 | Updates to the new analytics ID to support Signalling storm Mitigation and Prevention |
S2-2410610
| merged | SA2#165 | Ericsson |
| | | | | AIML_CN |
|
|
| 23.288 | 1247 | - | B | 19.0.0 | Rel-19 | Updates to the new analytics ID to support Signalling storm Mitigation and Prevention |
S2-2410010
| revised | SA2#165 | Ericsson |
| | | | | AIML_CN |
|
|
| 23.288 | 1246 | 7 | B | 19.0.0 | Rel-19 | KI#2 Update of VFL training and inference |
S2-2412436
| | SA2#166 | Ericsson, [Appl... |
| | | | | AIML_CN |
|
|
| 23.288 | 1246 | 6 | B | 19.0.0 | Rel-19 | KI#2 Update of VFL training and inference |
S2-2412142
| | SA2#166 | [Ericsson, Appl... |
| | | | | AIML_CN |
|
|
| 23.288 | 1246 | 5 | B | 19.0.0 | Rel-19 | KI#2 Update of VFL training and inference |
S2-2412037
| | SA2#166 | [Ericsson, Appl... |
| | | | | AIML_CN |
|
|
| 23.288 | 1246 | 4 | B | 19.0.0 | Rel-19 | KI#2 Update of VFL training and inference |
S2-2411646
| | SA2#166 | Ericsson, [Appl... |
| | | | | AIML_CN |
|
|
| 23.288 | 1246 | 3 | B | 19.0.0 | Rel-19 | KI#2 Update of VFL training and inference |
S2-2411556
| | SA2#166 | [Ericsson, Appl... |
| | | | | AIML_CN |
|
|
| 23.288 | 1246 | 2 | B | 19.0.0 | Rel-19 | KI#2 Update of VFL training and inference |
S2-2411380
| | SA2#166 | [Ericsson, Appl... |
| | | | | AIML_CN |
|
|
| 23.288 | 1246 | 1 | B | 19.0.0 | Rel-19 | KI#2 Update of VFL training and inference |
S2-2410683
| revised | SA2#165 | Ericsson, Apple... |
| | | | | AIML_CN |
|
|
| 23.288 | 1246 | - | B | 19.0.0 | Rel-19 | KI#2 Update of VFL training and inference |
S2-2410008
| revised | SA2#165 | Ericsson |
| | | | | AIML_CN |
|
|
| 23.288 | 1239 | - | B | 19.0.0 | Rel-19 | 23.288 : Accuracy monitoring for QoS and Policy Assistance Analytics |
S2-2409962
| not treated | SA2#165 | ETRI |
| | | | | AIML_CN |
|
|
| 23.288 | 1237 | - | B | 19.0.0 | Rel-19 | KI#2: VFL training procedures with NWDAF as server |
S2-2409932
| not treated | SA2#165 | Nokia |
| | | | | AIML_CN |
|
|
| 23.288 | 1236 | 2 | B | 19.0.0 | Rel-19 | KI#2: VFL services |
S2-2412435
| | SA2#166 | Nokia |
| | | | | AIML_CN |
|
|
| 23.288 | 1236 | 1 | B | 19.0.0 | Rel-19 | KI#2: VFL services |
S2-2411374
| | SA2#166 | Nokia |
| | | | | AIML_CN |
|
|
| 23.288 | 1236 | - | B | 19.0.0 | Rel-19 | KI#2: VFL services |
S2-2409930
| revised | SA2#165 | Nokia |
| | | | | AIML_CN |
|
|
| 23.288 | 1235 | 4 | B | 19.0.0 | Rel-19 | KI#2: VFL procedures with AF as server |
S2-2411372
| | SA2#166 | Nokia |
| | | | | AIML_CN |
|
|
| 23.288 | 1235 | 3 | B | 19.0.0 | Rel-19 | AF initiated VFL training procedure |
S2-2411319
| | SA2#166 | [Nokia], ZTE |
| | | | | AIML_CN |
|
|
| 23.288 | 1235 | 2 | B | 19.0.0 | Rel-19 | KI#2: VFL procedures with AF as server |
S2-2410993
| revised | SA2#165 | Nokia |
| | | | | AIML_CN |
|
|
| 23.288 | 1235 | 1 | B | 19.0.0 | Rel-19 | KI#2: VFL procedures with AF as server |
S2-2410677
| revised | SA2#165 | Nokia |
| | | | | AIML_CN |
|
|
| 23.288 | 1235 | - | B | 19.0.0 | Rel-19 | KI#2: VFL procedures with AF as server |
S2-2409928
| revised | SA2#165 | Nokia |
| | | | | AIML_CN |
|
|
| 23.288 | 1234 | - | B | 19.0.0 | Rel-19 | KI#2: Updating Inference procedure |
S2-2409926
| not treated | SA2#165 | Nokia |
| | | | | AIML_CN |
|
|
| 23.288 | 1233 | - | D | 19.0.0 | Rel-19 | KI#2: Merging all VFL procedures into one clause |
S2-2409923
| not treated | SA2#165 | Nokia |
| | | | | AIML_CN |
|
|
| 23.288 | 1232 | - | B | 19.0.0 | Rel-19 | KI#2: Addressing open issues for NWDAF discovery for VFL |
S2-2409922
| not treated | SA2#165 | Nokia |
| | | | | AIML_CN |
|
|
| 23.288 | 1224 | - | B | 19.0.0 | Rel-19 | Vertical Federated Learning Sample Alignment |
S2-2409888
| not treated | SA2#165 | Lenovo |
| | | | | AIML_CN |
|
|
| 23.288 | 1223 | - | B | 19.0.0 | Rel-19 | Clarification of VFL server registration and discovery |
S2-2409887
| not treated | SA2#165 | Lenovo |
| | | | | AIML_CN |
|
|
| 23.288 | 1222 | - | B | 19.0.0 | Rel-19 | Update of distributed inference procedure for a model trained using VFL |
S2-2409886
| merged | SA2#165 | Lenovo, Toyota |
| | | | | AIML_CN |
|
|
| 23.288 | 1221 | - | B | 19.0.0 | Rel-19 | General Vertical Federated Learning Procedure |
S2-2409873
| not treated | SA2#165 | Lenovo, Toyota |
| | | | | AIML_CN |
|
|
| 23.288 | 1220 | - | B | 19.0.0 | Rel-19 | KI#3: QoE Assistance information analytics |
S2-2409867
| not treated | SA2#165 | Nokia |
| | | | | AIML_CN |
|
|
| 23.288 | 1219 | - | B | 19.0.0 | Rel-19 | KI#1: model storage and retrieval via Pseudo Analytics ID |
S2-2409859
| not treated | SA2#165 | Nokia |
| | | | | AIML_CN |
|
|
| 23.288 | 1214 | - | B | 19.0.0 | Rel-19 | NWDAF enhancements for LMF-based AIML Positioning |
S2-2409795
| not treated | SA2#165 | Huawei, HiSilicon |
| | | | | AIML_CN |
|
|
| 23.288 | 1213 | - | B | 19.0.0 | Rel-19 | Update the Registration and Discovery procedures for VFL |
S2-2409788
| not treated | SA2#165 | Huawei, HiSilicon |
| | | | | AIML_CN |
|
|
| 23.288 | 1212 | - | B | 19.0.0 | Rel-19 | Update the High level feature description for VFL |
S2-2409787
| not treated | SA2#165 | Huawei, HiSilicon |
| | | | | AIML_CN |
|
|
| 23.288 | 1209 | - | B | 19.0.0 | Rel-19 | Update the general description for vertical federated learning to resolve ENs |
S2-2409734
| merged | SA2#165 | OPPO |
| | | | | AIML_CN |
|
|
| 23.288 | 1208 | 10 | B | 19.0.0 | Rel-19 | Update the general inference procedure for vertical federated learning to resolve ENs |
S2-2412430
| | SA2#166 | OPPO, [ZTE, Sam... |
| | | | | AIML_CN |
|
|
| 23.288 | 1208 | 9 | B | 19.0.0 | Rel-19 | Update the general inference procedure for vertical federated learning to resolve ENs |
S2-2412050
| | SA2#166 | [OPPO, ZTE, Sam... |
| | | | | AIML_CN |
|
|
| 23.288 | 1208 | 8 | B | 19.0.0 | Rel-19 | Update the general inference procedure for vertical federated learning to resolve ENs |
S2-2411941
| | SA2#166 | [OPPO, ZTE, Sam... |
| | | | | AIML_CN |
|
|
| 23.288 | 1208 | 7 | B | 19.0.0 | Rel-19 | Update the general inference procedure for vertical federated learning to resolve ENs |
S2-2411828
| | SA2#166 | OPPO, [ZTE, Sam... |
| | | | | AIML_CN |
|
|
| 23.288 | 1208 | 6 | B | 19.0.0 | Rel-19 | Update the general inference procedure for vertical federated learning to resolve ENs |
S2-2411812
| | SA2#166 | [OPPO], [ZTE], ... |
| | | | | AIML_CN |
|
|
| 23.288 | 1208 | 5 | B | 19.0.0 | Rel-19 | Update the general inference procedure for vertical federated learning to resolve ENs |
S2-2411645
| | SA2#166 | [OPPO, ZTE, Sam... |
| | | | | AIML_CN |
|
|
| 23.288 | 1208 | 4 | B | 19.0.0 | Rel-19 | Update the general inference procedure for vertical federated learning to resolve ENs |
S2-2411381
| | SA2#166 | [OPPO, ZTE, Sam... |
| | | | | AIML_CN |
|
|
| 23.288 | 1208 | 3 | B | 19.0.0 | Rel-19 | Update the general inference procedure for vertical federated learning to resolve ENs |
S2-2411192
| revised | SA2#165 | OPPO, ZTE, Sams... |
| | | | | AIML_CN |
|
|
| 23.288 | 1208 | 2 | B | 19.0.0 | Rel-19 | Update the general inference procedure for vertical federated learning to resolve ENs |
S2-2410983
| revised | SA2#165 | OPPO, ZTE, Sams... |
| | | | | AIML_CN |
|
|
| 23.288 | 1208 | 1 | B | 19.0.0 | Rel-19 | Update the general inference procedure for vertical federated learning to resolve ENs |
S2-2410676
| revised | SA2#165 | OPPO, ZTE, Sams... |
| | | | | AIML_CN |
|
|
| 23.288 | 1208 | - | B | 19.0.0 | Rel-19 | Update the general inference procedure for vertical federated learning to resolve ENs |
S2-2409733
| revised | SA2#165 | OPPO, ZTE, Samsung |
| | | | | AIML_CN |
|
|
| 23.288 | 1206 | - | B | 19.0.0 | Rel-19 | Update the procedure of VFL Inference |
S2-2409717
| not treated | SA2#165 | Vivo |
| | | | | AIML_CN |
|
|
| 23.288 | 1205 | - | B | 19.0.0 | Rel-19 | New procedure of sample alignment |
S2-2409716
| not treated | SA2#165 | Vivo |
| | | | | AIML_CN |
|
|
| 23.288 | 1204 | - | B | 19.0.0 | Rel-19 | General VFL training procedure when NWDAF and AF as VFL Server |
S2-2409715
| not treated | SA2#165 | Vivo |
| | | | | AIML_CN |
|
|
| 23.288 | 1201 | 2 | B | 19.0.0 | Rel-19 | NWDAF collects data from LCS to train ML model for AI positioning |
S2-2412458
| | SA2#166 | vivo |
| | | | | AIML_CN |
|
|
| 23.288 | 1201 | 1 | B | 19.0.0 | Rel-19 | NWDAF collects data from LCS to train ML model for AI positioning |
S2-2411550
| | SA2#166 | vivo |
| | | | | AIML_CN |
|
|
| 23.288 | 1201 | - | B | 19.0.0 | Rel-19 | NWDAF collects data from LCS to train ML model for AI positioning |
S2-2409684
| revised | SA2#165 | Vivo |
| | | | | AIML_CN |
|
|
| 23.288 | 1200 | - | F | 18.7.0 | Rel-18 | Clarification for FL feature in R18 |
S2-2409680
| revised | SA2#165 | Vivo |
| | | | | AIML_CN |
|
|
| 23.288 | 1199 | - | B | 19.0.0 | Rel-19 | Addressing ENs about VFL |
S2-2409679
| not treated | SA2#165 | Vivo |
| | | | | AIML_CN |
|
|
| 23.288 | 1198 | 12 | B | 19.0.0 | Rel-19 | Refinements for VFL feature |
S2-2412431
| | SA2#166 | vivo, [ICS, LG ... |
| | | | | AIML_CN |
|
|
| 23.288 | 1198 | 11 | B | 19.0.0 | Rel-19 | Refinements for VFL feature |
S2-2412207
| | SA2#166 | [Vivo, ICS, LG ... |
| | | | | AIML_CN |
|
|
| 23.288 | 1198 | 10 | B | 19.0.0 | Rel-19 | Refinements for VFL feature |
S2-2412036
| | SA2#166 | [Vivo, ICS, LG ... |
| | | | | AIML_CN |
|
|
| 23.288 | 1198 | 9 | B | 19.0.0 | Rel-19 | Refinements for VFL feature |
S2-2411832
| | SA2#166 | [Vivo, ICS, LG ... |
| | | | | AIML_CN |
|
|
| 23.288 | 1198 | 8 | B | 19.0.0 | Rel-19 | Refinements for VFL feature |
S2-2411810
| | SA2#166 | [Vivo, ICS, LG ... |
| | | | | AIML_CN |
|
|
| 23.288 | 1198 | 7 | B | 19.0.0 | Rel-19 | Refinements for VFL feature |
S2-2411728
| | SA2#166 | [Vivo, ICS], LG... |
| | | | | AIML_CN |
|
|
| 23.288 | 1198 | 6 | B | 19.0.0 | Rel-19 | Refinements for VFL feature |
S2-2411641
| | SA2#166 | [Vivo, ICS, LG ... |
| | | | | AIML_CN |
|
|
| 23.288 | 1198 | 5 | B | 19.0.0 | Rel-19 | Refinements for VFL feature |
S2-2411554
| | SA2#166 | vivo, [ICS, LG ... |
| | | | | AIML_CN |
|
|
| 23.288 | 1198 | 4 | B | 19.0.0 | Rel-19 | NWDAF and AF Discovery and Selection for VFL |
S2-2411383
| | SA2#166 | [Vivo, ICS, LG ... |
| | | | | AIML_CN |
|
|
| 23.288 | 1198 | 3 | B | 19.0.0 | Rel-19 | Refinements for VFL feature |
S2-2411193
| revised | SA2#165 | Vivo, ICS, LG E... |
| | | | | AIML_CN |
|
|
| 23.288 | 1198 | 2 | B | 19.0.0 | Rel-19 | Refinements for VFL feature |
S2-2411007
| revised | SA2#165 | Vivo, ICS, LG E... |
| | | | | AIML_CN |
|
|
| 23.288 | 1198 | 1 | B | 19.0.0 | Rel-19 | Refinements for VFL feature |
S2-2410679
| revised | SA2#165 | Vivo, ICS, LG E... |
| | | | | AIML_CN |
|
|
| 23.288 | 1198 | - | B | 19.0.0 | Rel-19 | Refinements for VFL feature |
S2-2409678
| revised | SA2#165 | Vivo |
| | | | | AIML_CN |
|
|
| 23.288 | 1197 | - | B | 19.0.0 | Rel-19 | Addressing the EN about model provision for AI positioning |
S2-2409675
| not treated | SA2#165 | Vivo |
| | | | | AIML_CN |
|
|
| 23.288 | 1196 | 5 | B | 19.0.0 | Rel-19 | Addressing the EN about model provision for AI positioning |
S2-2412427
| | SA2#166 | Vivo |
| | | | | AIML_CN |
|
|
| 23.288 | 1196 | 4 | B | 19.0.0 | Rel-19 | Addressing the EN about model provision for AI positioning |
S2-2411563
| | SA2#166 | Qualcomm Incorp... |
| | | | | AIML_CN |
|
|
| 23.288 | 1196 | 3 | B | 19.0.0 | Rel-19 | Addressing the EN about model provision for AI positioning |
S2-2411549
| | SA2#166 | Vivo |
| | | | | AIML_CN |
|
|
| 23.288 | 1196 | 2 | B | 19.0.0 | Rel-19 | Addressing the EN about model provision for AI positioning |
S2-2410997
| revised | SA2#165 | Vivo |
| | | | | AIML_CN |
|
|
| 23.288 | 1196 | 1 | B | 19.0.0 | Rel-19 | Addressing the EN about model provision for AI positioning |
S2-2410662
| revised | SA2#165 | Vivo |
| | | | | AIML_CN |
|
|
| 23.288 | 1196 | - | B | 19.0.0 | Rel-19 | Addressing the EN about model provision for AI positioning |
S2-2409674
| revised | SA2#165 | Vivo |
| | | | | AIML_CN |
|
|
| 23.288 | 1195 | - | B | 19.0.0 | Rel-19 | Resolving ENs related to the VFL Registration and Discovery procedures |
S2-2409645
| merged | SA2#165 | ICS, InterDigital |
| | | | | AIML_CN |
|
|
| 23.288 | 1175 | 3 | B | 19.0.0 | Rel-19 | KI#2: Updating FL to HFL |
S2-2412353
| | SA2#166 | Nokia |
| | | | | AIML_CN |
|
|
| 23.288 | 1175 | 2 | B | 19.0.0 | Rel-19 | KI#2: Updating FL to HFL |
S2-2411379
| revised | SA2#166 | Nokia |
| | | | | AIML_CN |
|
|
| 23.288 | 1175 | 1 | B | 19.0.0 | Rel-19 | KI#2: Updating FL to HFL |
S2-2409938
| revised | SA2#165 | Nokia |
| | | | | AIML_CN |
|
|
| 23.288 | 1173 | 2 | B | 19.0.0 | Rel-19 | KI#2: VFL definitions |
S2-2411376
| | SA2#166 | Nokia |
| | | | | AIML_CN |
|
|
| 23.288 | 1173 | 1 | B | 19.0.0 | Rel-19 | KI#2: VFL definitions |
S2-2409934
| revised | SA2#165 | Nokia |
| | | | | AIML_CN |
|
|
| 23.288 | 1161 | 8 | B | 19.0.0 | Rel-19 | High-level description for Vertical Federated Learning when AF is as Server. |
S2-2412433
| | SA2#166 | KDDI, Ericsson,... |
| | | | | AIML_CN |
|
|
| 23.288 | 1161 | 7 | B | 19.0.0 | Rel-19 | High-level description for Vertical Federated Learning when AF is as Server. |
S2-2411809
| | SA2#166 | [KDDI, Ericsson... |
| | | | | AIML_CN |
|
|
| 23.288 | 1161 | 6 | B | 19.0.0 | Rel-19 | High-level description for Vertical Federated Learning when AF is as Server. |
S2-2411625
| | SA2#166 | [KDDI, Ericsson... |
| | | | | AIML_CN |
|
|
| 23.288 | 1161 | 5 | B | 19.0.0 | Rel-19 | High-level description for Vertical Federated Learning when AF is as Server. |
S2-2411560
| | SA2#166 | KDDI, Ericsson,... |
| | | | | AIML_CN |
|
|
| 23.288 | 1161 | 4 | B | 19.0.0 | Rel-19 | High-level description for Vertical Federated Learning when AF is as Server. |
S2-2411195
| revised | SA2#165 | KDDI, Ericsson,... |
| | | | | AIML_CN |
|
|
| 23.288 | 1161 | 3 | B | 19.0.0 | Rel-19 | High-level description for Vertical Federated Learning when AF is as Server. |
S2-2410994
| revised | SA2#165 | KDDI, Ericsson,... |
| | | | | AIML_CN |
|
|
| 23.288 | 1161 | 2 | B | 19.0.0 | Rel-19 | High-level description for Vertical Federated Learning when AF is as Server. |
S2-2410667
| revised | SA2#165 | KDDI, Ericsson,... |
| | | | | AIML_CN |
|
|
| 23.288 | 1161 | 1 | B | 19.0.0 | Rel-19 | High-level description for Vertical Federated Learning when AF is as Server. |
S2-2410279
| revised | SA2#165 | KDDI |
| | | | | AIML_CN |
|
|
| 23.288 | 1160 | 3 | B | 19.0.0 | Rel-19 | Inference procedure for Vertical Federated Learning when AF is as Server. |
S2-2410288
| merged | SA2#165 | KDDI |
| | | | | AIML_CN |
|
|
| 23.288 | 1160 | 2 | B | 19.0.0 | Rel-19 | Training procedure for Vertical Federated Learning when AF is as Server. |
S2-2410286
| not treated | SA2#165 | KDDI |
| | | | | AIML_CN |
|
|
| 23.288 | 1160 | 1 | B | 19.0.0 | Rel-19 | Discovery procedure for Vertical Federated Learning when AF is as Server. |
S2-2410285
| not treated | SA2#165 | KDDI |
| | | | | AIML_CN |
|
|
| 23.288 | 1139 | 1 | B | 19.0.0 | Rel-19 | Performance monitoring for AI/ML based positioning in TS23.273 |
S2-2409831
| not treated | SA2#165 | China Mobile, C... |
| | | | | AIML_CN |
|
|
| 23.288 | 1134 | 18 | B | 19.0.0 | Rel-19 | General training procedure for Vertical Federated Learning between NWDAF(s) and AF(s) |
S2-2412432
| | SA2#166 | China Mobile, C... |
| | | | | AIML_CN |
|
|
| 23.288 | 1134 | 17 | B | 19.0.0 | Rel-19 | General training procedure for Vertical Federated Learning between NWDAF(s) and AF(s) |
S2-2412039
| | SA2#166 | [China Mobile, ... |
| | | | | AIML_CN |
|
|
| 23.288 | 1134 | 16 | B | 19.0.0 | Rel-19 | General training procedure for Vertical Federated Learning between NWDAF(s) and AF(s) |
S2-2411811
| | SA2#166 | [China Mobile],... |
| | | | | AIML_CN |
|
|
| 23.288 | 1134 | 15 | B | 19.0.0 | Rel-19 | General training procedure for Vertical Federated Learning between NWDAF(s) and AF(s) |
S2-2411644
| | SA2#166 | [China Mobile, ... |
| | | | | AIML_CN |
|
|
| 23.288 | 1134 | 14 | B | 19.0.0 | Rel-19 | General training procedure for Vertical Federated Learning between NWDAF(s) and AF(s) |
S2-2411626
| | SA2#166 | China Mobile, C... |
| | | | | AIML_CN |
|