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 |
|---|---|---|---|---|---|---|---|---|---|
| S2-2407392 | LS from ITU-T SG13: LS on consent of draft new Recommendation ITU-T Y.3186 (ex Y.IMT2020-DJLML) 'Requirements and framework for distributed joint learning to enable machine learning in future networks including IMT-2020' |
LS in source LS: SG13-LS170 LS To: ITU-T SG2, SG11 revision of S2-2405854 |
ITU-T SG13 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] | |||
| S2-2407414 | LS from RAN WG1: Reply LS on data collection to enable ML model training and inference in 5GC for Direct AI/ML based positioning |
LS in source LS: R1-2405578 LS To: SA WG2 revision of S2-2406872 |
RAN WG1 | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] | ||
| S2-2407488 | KI#1 - LMF enhancements for UE positioning using a ML model |
CR revised to S2-2408891 |
Ericsson | 23.273 18.6.0 CR#532 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2407490 | KI#4 - Updates in input/output for signalling storm analytics report | CR | Ericsson | 23.288 18.6.0 CR#1095 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407491 | KI#2 VFL training and inference | CR | Ericsson | 23.288 18.6.0 CR#1096 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407492 | QoS and policy assistance information analytic | CR | Ericsson | 23.288 18.6.0 CR#1097 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407493 | PCF use of QoS and policy assistance information analytic | CR | Ericsson | 23.503 19.0.0 CR#1303 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407525 | Support of AI/ML based positioning | CR | CATT | 23.273 18.6.0 CR#533 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407526 | AI/ML based positioning functional description | CR | CATT | 23.288 18.6.0 CR#1099 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407527 | Model training and provisioning for AI/ML based positioning |
CR revised to S2-2408884 |
CATT, China Unicom, China Mobile, ZTE | 23.288 18.6.0 CR#1100 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2407528 | [DRAFT] LS on model provisioning by OAM for AI/ML based positioning in 5GC |
LS out LS To: SA WG5, SA WG3 |
CATT | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] | |
| S2-2407529 | NWDAF assisted QoS policy generation | CR | CATT, China Mobile, China Telecom | 23.288 18.6.0 CR#1101 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407530 | Model provisioning for QoS policy assistance information analytics | CR | CATT | 23.288 18.6.0 CR#1102 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407531 | QoS policy assistance information analytics / ML model accuracy monitoring | CR | CATT, China Mobile, OPPO | 23.288 18.6.0 CR#1103 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407532 | Policy decisions based on QoS policy assistance information analytics | CR | CATT, China Mobile, China Telecom, OPPO, Tencent, vivo | 23.503 19.0.0 CR#1311 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407533 | Example mitigation actions for signalling storm caused by NF signalling | CR | Nokia | 23.502 19.0.0 CR#4839 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407534 | New analytics ID to support Signalling storm Mitigation and Prevention caused by NFs |
CR revised to S2-2408408 |
SK Telecom, AT&T, China Mobile, ETRI, KDDI, KPN N.V., LG Uplus, OPPO, Rakuten Mobile, Samsung, vivo, ZTE | 23.288 18.6.0 CR#1104 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2407543 | Support of LMF selection based on AI/ML based positioning capability | CR | ZTE, China Telecom, Vivo, OPPO, ETRI, InterDigital, CATT, Xiaomi, Sony | 23.273 18.6.0 CR#535 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
postponed | [WTS] [JSN] |
| S2-2407544 | Support of VFL related-features | CR | ZTE | 23.288 18.6.0 CR#1107 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407545 | VFL terminologies and abbreviations | CR | ZTE | 23.288 18.6.0 CR#1108 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407556 | LMF event exposure to support data collection for AI/ML based positioning | CR | CATT | 23.273 18.6.0 CR#536 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407557 | NWDAF service enhancements for QoS policy assistance information analytics and ML model provisioning | CR | CATT | 23.288 18.6.0 CR#1109 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407558 | Analytics exposure for QoS policy assistance information analytics | CR | CATT | 23.288 18.6.0 CR#1110 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407559 | NWDAF service enhancements for AI/ML based positioning | CR | CATT | 23.288 18.6.0 CR#1111 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407560 | Horizontal Federated Learning to train ML model for AI/ML based positioning | CR | CATT | 23.288 18.6.0 CR#1112 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407561 | NWDAF discovery and selection for AI/ML based positioning | CR | CATT | 23.501 19.0.0 CR#5421 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407562 | NWDAF discovery for AI/ML based positioning via NRF | CR | CATT | 23.502 19.0.0 CR#4842 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407566 | KI1: Support of training LMF-side models at MTLF | CR | Lenovo | 23.288 18.6.0 CR#1113 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407567 | KI2: Vertical Federated Learning Registration, Discovery and Sample Alignment where FL Server is NWDAF | CR | Lenovo | 23.288 18.6.0 CR#1114 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407568 | KI2: Vertical Federated Learning Registration, Discovery and Sample Alignmnet where FL Server is AF | CR | Lenovo | 23.288 18.6.0 CR#1115 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407569 | KI2: Vertical Federated Learning Procedure where FL Server is NWDAF | CR | Lenovo | 23.288 18.6.0 CR#1116 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407570 | KI2: Vertical Federated Learning Procedure where FL Server is AF | CR | Lenovo | 23.288 18.6.0 CR#1117 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407572 | [DRAFT] LS on Data collection for training LMF-side models |
LS out LS To: TSG RAN, RAN WG1 revised to S2-2408883 |
Lenovo | Rel-19 |
S2-164 AI: 19.15.2 |
noted | [WTS] [JSN] | ||
| S2-2407573 | KI3: NWDAF-assisted policy control | CR | Lenovo | 23.288 18.6.0 CR#1118 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407574 | KI2: Support of distributed inference for a model trained using VFL | CR | Lenovo | 23.288 18.6.0 CR#1119 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407575 | KI4: Abnormal NF Signalling Storm Detection Analytics | CR | Lenovo | 23.288 18.6.0 CR#1120 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407576 | [DRAFT] LS out on ML Model obtaining from OAM for AI Positioning |
LS out LS To: SA WG5 |
ZTE | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] | |
| S2-2407587 | [DRAFT] LS on ML Model provisioning by OAM to LMF for UE positioning |
LS out LS To: SA WG5 |
NTT DOCOMO | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] | |
| S2-2407588 | ML Model based UE positioning support | CR | NTT DOCOMO | 23.273 18.6.0 CR#537 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407589 | QoS Flows Analytics |
CR revised to S2-2409091 |
NTT DOCOMO | 23.288 18.6.0 CR#1121 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2407590 | QFI Change event | CR | NTT DOCOMO | 23.502 19.0.0 CR#4849 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407591 | NF Signalling Storm Analytics | CR | NTT DOCOMO | 23.288 18.6.0 CR#1122 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407637 | Sample and Feature alignment procedure for Vertical Federated Learning with AF as the VFL server | CR | OPPO, Futurewei, LG Electronics, Tencent, Sony, ICS | 23.288 18.6.0 CR#1124 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407638 | General training procedure for vertical federated learning between AF and NWDAFs with AF as the VFL server | CR | OPPO, ZTE, ETRI, China Telecom, CMCC, Tencent, Samsung, ICS,vivo | 23.288 18.6.0 CR#1125 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407639 | General inference procedure for vertical federated learning between AF and NWDAFs with AF as the VFL server |
CR revised to S2-2408887 |
OPPO, ETRI, China Telecom, Tencent, ICS | 23.288 18.6.0 CR#1126 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2407640 | Discussion on the VFL sample and feature alignment | discussion | OPPO | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] | |
| S2-2407647 | QoS and policy assistance service by NWDAF | CR | Huawei, HiSilicon | 23.288 18.6.0 CR#1128 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
postponed | [WTS] [JSN] |
| S2-2407691 | 23.288 : QoS/Policy Assistance Information Analytics | CR | ETRI | 23.288 18.6.0 CR#1129 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407693 | 23.501 : NWDAF capability of QoS/Policy Assistance for NWDAF discovery and selection. | CR | ETRI | 23.501 19.0.0 CR#5442 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407719 | 23.502 : NRF service enhancements for NWDAF with the capability of QoS/Policy Assistance | CR | ETRI | 23.502 19.0.0 CR#4868 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407753 | Enhancements to Analytics IDs to support QoS and policy | CR | Samsung, vivo, OPPO, SK Telecom, InterDigital Inc | 23.288 18.6.0 CR#1131 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407754 | Support of QoS and policy assistance analytics |
CR revised to S2-2409089 |
Samsung, vivo, OPPO, SK Telecom, China Mobile, Tencent, Tencent Cloud, InterDigital Inc | 23.288 18.6.0 CR#1132 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2407755 | Support of VFL model training with successive VFL client information sharing | CR | Samsung | 23.288 18.6.0 CR#1133 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407756 | Support for NWDAF-assisted policy control and QoS | CR | Samsung | 23.503 19.0.0 CR#1328 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407800 | General training procedure for NWDAF initiated Vertical Federated Learning between NWDAF(s) and AF(s) |
CR revised to S2-2408886 |
China Mobile, CATT, ZTE, OPPO | 23.288 18.6.0 CR#1134 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2407802 | General Description of Vertical Federated Learning | CR | LG Electronics | 23.288 18.6.0 CR#1135 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407803 | General inference procedure for NWDAF initiated Vertical Federated Learning between NWDAF(s) and AF(s) | CR | China Mobile, CATT, ZTE | 23.288 18.6.0 CR#1136 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407804 | NWDAF capability to support Vertical Federated Learning in TS 23.288 | CR | LG Electronics | 23.288 18.6.0 CR#1137 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407805 | NWDAF capability to support Vertical Federated Learning in TS 23.502 | CR | LG Electronics | 23.502 19.0.0 CR#4881 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407806 | Vertical Federated Learning (VFL) between NWDAF(s) and AF(s) | CR | China Mobile, CATT, ZTE, OPPO | 23.288 18.6.0 CR#1138 catA | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407807 | Performance monitoring for AI/ML based positioning in TS23.273 | CR | China Mobile, CATT, ZTE, OPPO | 23.288 18.6.0 CR#1139 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
postponed | [WTS] [JSN] |
| S2-2407808 | Procedure for LMF to retrieve ML models in TS23.273 | CR | China Mobile | 23.273 18.6.0 CR#542 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407880 | Enhancement for AIML based Positioning | CR | Qualcomm Incorporated | 23.288 18.6.0 CR#1141 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407881 | Introduction of LMF enhancement for Direct AI/ML based Positioning |
CR revised to S2-2408890 |
Qualcomm Incorporated | 23.273 18.6.0 CR#543 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2407882 | The consumer of ML model provision | CR | Qualcomm Incorporated | 23.501 19.0.0 CR#5476 catF | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407883 | [DRAFT] LS on input data for analytics of NWDAF assisted Network Abnormal Behaviour Mitigation and Prevention |
LS out LS To: SA WG5 |
QUALCOMM JAPAN LLC. | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] | |
| S2-2407885 | Enhancement to support NWDAF-assisted policy control and QoS enhancement | CR | Qualcomm Incorporated | 23.288 18.6.0 CR#1142 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407886 | Enhancement to support NWDAF-assisted policy control and QoS enhancement | CR | Qualcomm Incorporated | 23.503 19.0.0 CR#1334 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407917 | Update on Policy decisions based on NWDAF | CR | Huawei, HiSilicon | 23.503 19.0.0 CR#1340 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407918 | Vertical Federated Learning General Description | CR | Huawei, HiSilicon | 23.288 18.6.0 CR#1144 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2407999 | [DRAFT] LS on Allignment regarding data collection procedures for training LMF side LCS models |
LS out LS To: RAN WG1, RAN WG2, RAN WG3 |
Nokia | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] | |
| S2-2408000 | [DRAFT] LS on Allignment regarding possible training LMF side LCS models via OAM |
LS out LS To: SA WG5 |
Nokia | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] | |
| S2-2408001 | Sample and feature alignment procedure for VFL | CR | Futurewei, OPPO | 23.288 18.6.0 CR#1145 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408016 | KI#1: model storage and retrieval | CR | Nokia | 23.288 18.6.0 CR#1146 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408026 | KI#1: Extending NWDAF description to cover model provisioning to LMF | CR | Nokia | 23.501 19.0.0 CR#5507 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408038 | KI#2: Registration and discovery procedures of VFL entities | CR | ETRI | 23.288 18.6.0 CR#1148 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408040 | KI#2: Preparation procedure including sample alignment for AF-initiated VFL | CR | ETRI | 23.288 18.6.0 CR#1149 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408041 | KI#2: Training and inference procedures for VFL among multiple NWDAFs | CR | ETRI | 23.288 18.6.0 CR#1150 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408049 | KI#2: Enhancement of NWDAF and NEF to support Vertical Federated Learning | CR | ETRI | 23.501 19.0.0 CR#5515 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408054 | KI#2: Enhancement of NRF service for NWDAF and NEF to support Vertical Federated Learning | CR | ETRI | 23.502 19.0.0 CR#4922 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408093 | KI#4: Massive UE signaling strom mitigation and prevention | CR | ETRI | 23.288 18.6.0 CR#1151 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408099 | Adding functionality to FL server NWDAF for sample alignment | CR | NTT DOCOMO | 23.288 18.6.0 CR#1152 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408130 | Vertical Federated Learning in TS 23.501 | CR | KDDI | 23.501 19.0.0 CR#5533 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408157 | New analytics for signaling storm mitigation (TS 23.501) | CR | Vivo, SK Telecom | 23.501 19.0.0 CR#5537 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408209 | Support Direct AI/ML based positioning | CR | Xiaomi | 23.273 18.6.0 CR#549 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408210 | Support AI/ML model performance monitoring | CR | Xiaomi | 23.273 18.6.0 CR#550 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408211 | Extend UE LCS privacy profile to support Authorization for data collection for AI/ML model training | CR | Xiaomi | 23.273 18.6.0 CR#551 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
postponed | [WTS] [JSN] |
| S2-2408212 | Supporting authorization for data collection of AI model training in UDM | CR | Xiaomi | 23.502 19.0.0 CR#4938 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408227 | 5GC Supports for Vertical Federated Learning | CR | Vivo | 23.288 18.6.0 CR#1154 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408228 | Registration and discovery of VFL entities | CR | Vivo | 23.288 18.6.0 CR#1155 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408229 | New procedure of sample alignment when NWDAF as VFL Server | CR | Vivo | 23.288 18.6.0 CR#1156 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408230 | New procedures for VFL training | CR | Vivo | 23.288 18.6.0 CR#1157 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408231 | New procedure of VFL Inference when NWDAF as VFL Server | CR | Vivo | 23.288 18.6.0 CR#1158 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408255 | Vertical Federated Learning Support if AF is VFL Server with multiple NWDAFs in TS 23.288. | CR | KDDI | 23.288 18.6.0 CR#1159 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408256 | Vertical Federated Learning if AF is VFL Server in TS 23.288 | CR | KDDI | 23.288 18.6.0 CR#1160 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408257 | General Support for Vertical Federated Learning in TS 23.288. | CR | KDDI | 23.288 18.6.0 CR#1161 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408258 | Vertical Federated Learning if NWDAF is VFL Server in TS 23.288 | CR | KDDI | 23.288 18.6.0 CR#1162 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408259 | Vertical Federated Learning in TS 23.502 | CR | KDDI | 23.502 19.0.0 CR#4945 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408265 | Support of AI/ML based positioning feature | CR | Vivo, OPPO, MediaTek Inc., Samsung | 23.273 18.6.0 CR#553 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408266 | KI#1 - Discusson paper on the data collection for AI positioning | discussion | vivo | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] | |
| S2-2408267 | Data collection for AI/ML based positioning | CR | Vivo, OPPO,ZTE | 23.273 18.6.0 CR#554 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408268 | NWDAF collects data from LMF in order to train ML model for AI positioning | CR | Vivo | 23.288 18.6.0 CR#1163 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408269 | New procedure for LMF to retrieve ML Model from MTLF | CR | Vivo, OPPO, China Telecom, ZTE, Samsung | 23.273 18.6.0 CR#555 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408270 | Support for LMF to retrieve ML Model of AI/ML based positioning |
CR revised to S2-2408885 |
Vivo | 23.288 18.6.0 CR#1164 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2408309 | NWDAF assisted signalling storm analytics | CR | Huawei, HiSilicon | 23.288 18.6.0 CR#1166 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408316 | NWDAF Discovery for VFL. | CR | Huawei, HiSilicon | 23.288 18.6.0 CR#1167 catB | eNA_Ph3 | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408318 | VFL Inference Procedures | CR | Huawei, HiSilicon | 23.288 18.6.0 CR#1169 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408320 | Discussion on the multiple NWDAF case if AF is VFL server | discussion | KDDI Corporation | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] | ||
| S2-2408330 | NWDAF enhancements for Direct AI/ML positioning | CR | Huawei, HiSilicon | 23.288 18.6.0 CR#1170 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408331 | NWDAF enhancements for Direct AI/ML positioning | CR | Huawei, HiSilicon | 23.501 19.0.0 CR#5563 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408332 | NWDAF enhancements for Direct AI/ML positioning | CR | Huawei, HiSilicon | 23.502 19.0.0 CR#4952 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408333 | LMF enhancements for Direct AI/ML based positioning | CR | Huawei, HiSilicon | 23.273 18.6.0 CR#556 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408406 | Registration and Discovery procedure for Vertical Federated Learning among NWDAF(s) and/or AF(s) with NWDAF as the VFL server |
CR revised to S2-2409088 |
ICS, OPPO, InterDigital | 23.288 18.6.0 CR#1171 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2408408 | New analytics ID to support Signalling storm Mitigation and Prevention caused by NFs |
CR revision of S2-2407534 revised to S2-2408889 |
SK Telecom, AT&T, China Mobile, ETRI, KDDI, KPN N.V., LG Uplus, OPPO, Rakuten Mobile, Samsung, vivo, ZTE | 23.288 18.6.0 CR#11041 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2408472 | KI#2: NWDAF with internal structure of MTLF, AnLF and ADRF | discussion | Nokia | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] | |
| S2-2408479 | KI#2: VFL procedures with NWDAF as server | CR | Nokia | 23.288 18.6.0 CR#1172 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408483 | KI#2: VFL definitions | CR | Nokia | 23.288 18.6.0 CR#1173 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408484 | KI#2: NWDAF discovery for VFL | CR | Nokia | 23.288 18.6.0 CR#1174 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408485 | KI#2 NRF extensions for VFL | CR | Nokia | 23.501 19.0.0 CR#5590 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408487 | KI#2: NRF extensions for VFL | CR | Nokia | 23.502 19.0.0 CR#4971 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408490 | KI#2: Updating FL to HFL | CR | Nokia | 23.288 18.6.0 CR#1175 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408493 | KI#2: NWDAF extensions for VFL | CR | Nokia | 23.501 19.0.0 CR#5591 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408495 | KI#2: VFL procedures | CR | Nokia | 23.288 18.6.0 CR#1176 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408515 | New analytics ID UE signalling to support Network Abnormal Behaviour Mitigation and Prevention | CR | China Telecom | 23.288 18.6.0 CR#1178 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408516 | General description on Network Abnormal Behaviour Mitigation and Prevention | CR | China Telecom, Tencent, Tencent Cloud | 23.501 19.0.0 CR#5597 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408517 | AF service enhancement to support timer information collection | CR | China Telecom | 23.502 19.0.0 CR#4976 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408524 | KI#2 NEF extensions for VFL | CR | Nokia | 23.501 19.0.0 CR#5598 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408543 | KI#3: QoS Parameters Assistance Analytics and Extensions to Observed service experience, QoS sustainability, Network Performance analytics |
CR revised to S2-2409090 |
Nokia | 23.288 18.6.0 CR#1179 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2408576 | KI#4: Extending Abnormal behaviour related network data analytics for signalling storm caused by massive UE signalling | CR | Nokia | 23.288 18.6.0 CR#1181 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408585 | KI#4: new Analytics ID for signalling storm caused by abnormal NF behavior | CR | Nokia | 23.288 18.6.0 CR#1182 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408590 | KI#4: Need for new Analytics ID for signalling storm caused by massive UE signalling | discussion | Nokia | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] | |
| S2-2408600 | New analytics for signaling storm mitigation and prevention | CR | Samsung | 23.288 18.6.0 CR#1184 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408610 | KI#1: Use Pseudo Analytics ID for model storage and retrieval | discussion | Nokia | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] | |
| S2-2408611 | KI#3: Extend existing analytics to determine assistance information for QoS parameters | discussion | Nokia | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] | |
| S2-2408657 | VFL support during the discovery of NWDAF, NEF, and AF instances | CR | ICS, Futurewei, InterDigital | 23.501 19.0.0 CR#5621 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408658 | Enhancement to NRF s discovery and registration procedures to support VFL | CR | ICS, Futurewei, InterDigital | 23.502 19.0.0 CR#4992 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408659 | High level feature description for VFL |
CR revised to S2-2408888 |
Interdigital | 23.288 18.6.0 CR#1185 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2408660 | VFL Procedures for client discovery and sample/feature alignment | CR | Interdigital | 23.288 18.6.0 CR#1186 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408662 | Enabling VFL training in 5GC with AF as Server | CR | Interdigital | 23.288 18.6.0 CR#1187 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408663 | Enabling VFL Inference in 5GC | CR | Interdigital | 23.288 18.6.0 CR#1188 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408665 | LMF selection for AI/ML based positioning | CR | InterDigital, Inc. | 23.273 18.6.0 CR#568 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408668 | Data collection for AI/ML positioning model training | CR | InterDigital, Inc. | 23.273 18.6.0 CR#569 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408670 | Support of AI/ML based positioning methods | CR | InterDigital, Inc. | 23.273 18.6.0 CR#570 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408674 | Enhancing Network Data Analytics to support Flexible combined/joint analytics | CR | InterDigital, Inc. | 23.288 18.6.0 CR#1189 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
available | [WTS] [JSN] |
| S2-2408883 | [DRAFT] LS on Data collection for training LMF-side models |
LS out LS To: TSG RAN, RAN WG1 revision of S2-2407572 |
Lenovo | Rel-19 |
S2-164 AI: 19.15.2 |
withdrawn | [WTS] [JSN] | ||
| S2-2408884 | Model training and provisioning for AI/ML based positioning |
CR revision of S2-2407527 |
CATT, China Unicom, China Mobile, ZTE | 23.288 18.6.0 CR#11001 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
merged | [WTS] [JSN] |
| S2-2408885 | Support for LMF to retrieve ML Model of AI/ML based positioning |
CR revision of S2-2408270 revised to S2-2409130 |
Vivo | 23.288 18.6.0 CR#11641 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2408886 | General training procedure for NWDAF initiated Vertical Federated Learning between NWDAF(s) and AF(s) |
CR revision of S2-2407800 revised to S2-2409134 |
China Mobile, CATT, ZTE, OPPO | 23.288 18.6.0 CR#11341 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2408887 | General inference procedure for vertical federated learning between AF and NWDAFs with AF as the VFL server |
CR revision of S2-2407639 revised to S2-2409133 |
OPPO, ETRI, China Telecom, Tencent, ICS | 23.288 18.6.0 CR#11261 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2408888 | High level feature description for VFL |
CR revision of S2-2408659 revised to S2-2409135 |
Interdigital | 23.288 18.6.0 CR#11851 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2408889 | New analytics ID to support Signalling storm Mitigation and Prevention caused by NFs |
CR revision of S2-2408408 revised to S2-2409139 |
SK Telecom, AT&T, China Mobile, ETRI, KDDI, KPN N.V., LG Uplus, OPPO, Rakuten Mobile, Samsung, vivo, ZTE | 23.288 18.6.0 CR#11042 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2408890 | Introduction of LMF enhancement for Direct AI/ML based Positioning |
CR revision of S2-2407881 revised to S2-2409131 |
Qualcomm Incorporated | 23.273 18.6.0 CR#5431 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2408891 | KI#1 - LMF enhancements for UE positioning using a ML model |
CR revision of S2-2407488 revised to S2-2409132 |
Ericsson | 23.273 18.6.0 CR#5321 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2409088 | Registration and Discovery procedure for Vertical Federated Learning among NWDAF(s) and/or AF(s) with NWDAF as the VFL server |
CR revision of S2-2408406 revised to S2-2409136 |
ICS, OPPO, InterDigital | 23.288 18.6.0 CR#11711 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2409089 | Support of QoS and policy assistance analytics |
CR revision of S2-2407754 revised to S2-2409138 |
Samsung, vivo, OPPO, SK Telecom, China Mobile, Tencent, Tencent Cloud, InterDigital Inc | 23.288 18.6.0 CR#11321 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2409090 | KI#3: QoS Parameters Assistance Analytics and Extensions to Observed service experience, QoS sustainability, Network Performance analytics |
CR revision of S2-2408543 |
Nokia | 23.288 18.6.0 CR#11791 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
merged | [WTS] [JSN] |
| S2-2409091 | QoS Flows Analytics |
CR revision of S2-2407589 revised to S2-2409137 |
NTT DOCOMO | 23.288 18.6.0 CR#11211 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2409130 | Support for LMF to retrieve ML Model of AI/ML based positioning |
CR revision of S2-2408885 revised to S2-2409413 |
Vivo | 23.288 18.6.0 CR#11642 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2409131 | Introduction of LMF enhancement for Direct AI/ML based Positioning |
CR revision of S2-2408890 revised to S2-2409414 |
Qualcomm Incorporated | 23.273 18.6.0 CR#5432 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2409132 | KI#1 - LMF enhancements for UE positioning using a ML model |
CR revision of S2-2408891 revised to S2-2409415 |
Ericsson | 23.273 18.6.0 CR#5322 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2409133 | General inference procedure for vertical federated learning between AF and NWDAFs with AF as the VFL server |
CR revision of S2-2408887 revised to S2-2409417 |
OPPO, ETRI, China Telecom, Tencent, ICS | 23.288 18.6.0 CR#11262 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2409134 | General training procedure for NWDAF initiated Vertical Federated Learning between NWDAF(s) and AF(s) |
CR revision of S2-2408886 revised to S2-2409416 |
China Mobile, CATT, ZTE, OPPO | 23.288 18.6.0 CR#11342 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2409135 | High level feature description for VFL |
CR revision of S2-2408888 revised to S2-2409418 |
Interdigital | 23.288 18.6.0 CR#11852 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2409136 | Registration and Discovery procedure for Vertical Federated Learning among NWDAF(s) and/or AF(s) with NWDAF as the VFL server |
CR revision of S2-2409088 revised to S2-2409419 |
ICS, OPPO, InterDigital | 23.288 18.6.0 CR#11712 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2409137 | QoS Flows Analytics |
CR revision of S2-2409091 |
NTT DOCOMO | 23.288 18.6.0 CR#11212 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
withdrawn | [WTS] [JSN] |
| S2-2409138 | Support of QoS and policy assistance analytics |
CR revision of S2-2409089 |
Samsung, vivo, OPPO, SK Telecom, China Mobile, Tencent, Tencent Cloud, InterDigital Inc | 23.288 18.6.0 CR#11322 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
postponed | [WTS] [JSN] |
| S2-2409139 | New analytics ID to support Signalling storm Mitigation and Prevention caused by NFs |
CR revision of S2-2408889 revised to S2-2409420 |
SK Telecom, AT&T, China Mobile, ETRI, KDDI, KPN N.V., LG Uplus, OPPO, Rakuten Mobile, Samsung, vivo, ZTE | 23.288 18.6.0 CR#11043 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
revised | [WTS] [JSN] |
| S2-2409413 | Support for LMF to retrieve ML Model of AI/ML based positioning |
CR revision of S2-2409130 |
Vivo | 23.288 18.6.0 CR#11643 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
agreed | [WTS] [JSN] |
| S2-2409414 | Introduction of LMF enhancement for Direct AI/ML based Positioning |
CR revision of S2-2409131 |
Qualcomm Incorporated | 23.273 18.6.0 CR#5433 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
agreed | [WTS] [JSN] |
| S2-2409415 | KI#1 - LMF enhancements for UE positioning using a ML model |
CR revision of S2-2409132 |
Ericsson | 23.273 18.6.0 CR#5323 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
agreed | [WTS] [JSN] |
| S2-2409416 | General training procedure for NWDAF initiated Vertical Federated Learning between NWDAF(s) and AF(s) |
CR revision of S2-2409134 |
China Mobile, CATT, ZTE, OPPO | 23.288 18.6.0 CR#11343 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
noted | [WTS] [JSN] |
| S2-2409417 | General inference procedure for vertical federated learning between AF and NWDAFs with AF as the VFL server |
CR revision of S2-2409133 |
OPPO, ETRI, China Telecom, Tencent, ICS | 23.288 18.6.0 CR#11263 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
agreed | [WTS] [JSN] |
| S2-2409418 | High level feature description for VFL |
CR revision of S2-2409135 |
Interdigital | 23.288 18.6.0 CR#11853 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
agreed | [WTS] [JSN] |
| S2-2409419 | Registration and Discovery procedure for Vertical Federated Learning among NWDAF(s) and/or AF(s) with NWDAF as the VFL server |
CR revision of S2-2409136 |
ICS, OPPO, InterDigital | 23.288 18.6.0 CR#11713 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
agreed | [WTS] [JSN] |
| S2-2409420 | New analytics ID to support Signalling storm Mitigation and Prevention caused by NFs |
CR revision of S2-2409139 |
SK Telecom, AT&T, China Mobile, ETRI, KDDI, KPN N.V., LG Uplus, OPPO, Rakuten Mobile, Samsung, vivo, ZTE | 23.288 18.6.0 CR#11044 catB | AIML_CN | Rel-19 |
S2-164 AI: 19.15.2 |
postponed | [WTS] [JSN] |
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