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 |
---|---|---|---|---|---|---|---|---|---|
S2-2403921 | Solution for KI#2: Support for vertical federated learning: Model Training and Inference. |
pCR revised to S2-2405039 |
Lenovo | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2403922 | Solution for KI#3: Framework for supporting policy recommendations. |
pCR revision of S2-2401974 |
Lenovo | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2403923 | Solution for KI#4: Flexible analytics design to support multiple 'signalling storm' scenarios. |
pCR revision of S2-2402026 |
Lenovo | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2403938 | KI#1 new solution of Direct AI/ML based positioning with NWDAF assistance. |
pCR revised to S2-2405085 |
CATT | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2403939 | KI#3 new solution of NWDAF assisted QoS policy generation. |
pCR revised to S2-2405025 |
CATT | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2403961 | Solution for KI#1: Training Model to determine location. |
pCR revised to S2-2405043 |
Nokia | 23.700-84 0.1.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2403962 | Solution for KI#2: Vertical Federated learning considering Internal NWDAF architecture. |
pCR revised to S2-2405075 |
Nokia | 23.700-84 0.1.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2403963 | Solution for KI#3 Use Case 1: NWDAF Policy Decisions Analytics. |
pCR revision of S2-2402023 |
Nokia | 23.700-84 0.1.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2403964 | Solution for KI#1: Training Model to determine location. | pCR | Nokia | 23.700-84 0.1.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2403965 | KI#2: New Solution on Support for VFL with NWDAF and AF as Participants. |
pCR revision of S2-2401971 revised to S2-2405026 |
Samsung | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2403966 | Updates to Terminology. |
pCR revised to S2-2405084 |
Samsung | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2403967 | KI#3, New Sol: QoS/policy enhancements assisted by NWDAF. |
pCR revision of S2-2401969 revised to S2-2405073 |
Samsung, SK Telecom | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2403968 | KI#4, New Sol: NWDAF Assisted Network Abnormal Behaviour Mitigation and Prevention . |
pCR revision of S2-2402192 |
Samsung | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2403990 | TR 23.700-84: KI#1 New solution about data collection procedure for LMF-side model training. |
pCR revised to S2-2405086 |
ZTE | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2403991 | TR 23.700-84: EN removal related to the VFL definition. | pCR | ZTE | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2403992 | TR 23.700-84: label definition update and EN removal. | pCR | ZTE | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2403993 | TR 23.700-84: KI#2 Solution about 2-sides VFL inference process. | pCR | ZTE | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2403994 | Solution about 2-sides VFL training process. | pCR | ZTE | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2403995 | Solution about NF discovery and selection process of VFL. |
pCR revised to S2-2405040 |
ZTE | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2403996 | TR 23.700-84: KI#1 Solution #3 update. | pCR | ZTE | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2403997 | TR 23.700-84: VFL Terminology update and 2 EN removal. | pCR | ZTE | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2404030 | KI#1: New Sol: Transfer Federated Learning based UE Positioning. | pCR | NTT DOCOMO | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2404032 | KI #3, New Sol: NWDAF QoS Flow Analytics. |
pCR revised to S2-2405033 |
NTT DOCOMO | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2404033 | KI#4: New Sol: NWDAF analytics for signalling storm prediction. |
pCR revision of S2-2402181 revised to S2-2405031 |
NTT DOCOMO | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2404037 | Solution (KI#3): How to evaluate NWDAF-assisted policy control and QoS enhancement. |
pCR revised to S2-2405034 |
ETRI | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2404040 | Solution to key issue 3: PCC enhancements based on service experience analysis . |
pCR revision of S2-2401924 |
OPPO | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2404041 | Solution to key issue 4: Signalling storm detection and mitigation based on O&M data. |
pCR revision of S2-2401925 revised to S2-2405088 |
OPPO | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2404042 | [DRAFT] LS to SA WG5 on NAS signalling congestion/signalling storm |
LS out LS To: SA WG5 revision of S2-2401926 |
OPPO Beijing | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
noted | [WTS] [JSN] | |
S2-2404046 | KI#3 new solution of enhanced policy control based on PDU Session traffic analytics. | pCR | CATT | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2404047 | General procedure for Vertical Federated Learning between NWDAF(s) and AF(s) . |
pCR revision of S2-2402215 revised to S2-2405023 |
China Mobile | 23.700-84 0.1.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2404048 | New Solution on NWDAF-assisted LMF trains model and monitor model performance for Direct AI/ML based positioning. |
pCR revision of S2-2402225 |
China Mobile | 23.700-84 0.1.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2404049 | New Solution on NWDAF-assisted for 5GC handling of abnormal network behaviors. |
pCR revision of S2-2402226 |
China Mobile | 23.700-84 0.1.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2404050 | VFL terminology definition. |
pCR revised to S2-2406316 |
China Mobile | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2404092 | KI#2, New Solution: VFL-based ML training and Inference. | pCR | Huawei, HiSilicon | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2404104 | NWDAF-assisted policy control with Recommendation logical function. |
pCR revised to S2-2405024 |
Huawei, HiSilicon, China Mobile | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2404106 | PRU information collection for AIML positioning model training. | pCR | Huawei, HiSilicon | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2404109 | New Solution on MTLF-based model performance monitoring for AI/ML positioning. |
pCR revised to S2-2405044 |
China Mobile | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2404146 | Solution for KI#3: NWDAF/DCCF/PCF enhancements to support policy recommendations . | pCR | ICS | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
merged | [WTS] [JSN] |
S2-2404169 | New Solution for KI#1: Model training and obtaining for AI/ML based positioning. |
pCR revision of S2-2402435 |
China Telecom | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2404170 | New Solution for KI#4: Registration signalling analytics to support detection and prevention of signalling storm. |
pCR revision of S2-2402436 revised to S2-2405038 |
China Telecom | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2404171 | New Solution for KI#2: 5GC Support for Vertical Federated Learning initiated by AF with NWDAF(s). | pCR | China Telecom | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2404185 | TR 23.700-84: Clarification and new solutions for KI#2 Sample/Feature alignment for the VFL. | pCR | Sony | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2404208 | KI#1: Update Solution#1 by resolving ENs and merge with Solution 3. |
pCR revised to S2-2405020 |
Vivo, Intel, ZTE, NTT DOCOMO, OPPO, Lenovo | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2404209 | KI#1: Solution#5 update to solve the Editor s notes. | pCR | Vivo | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2404210 | KI#2: New Solution Vertical Federated Learning between NWDAF and AF . |
pCR revision of S2-2401967 revised to S2-2405027 |
Vivo | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2404300 | KI#2, New Sol: Vertical Federated Learning between NWDAF and AF. | pCR | Tencent, Tencent Cloud | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2404330 | New Solution for KI#2 Sample/Feature alignment and general training procedure for the VFL. |
pCR revision of S2-2402104 revised to S2-2405022 |
OPPO | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2404331 | New Solution for KI#2 General inference procedure for the VFL. |
pCR revision of S2-2402105 |
OPPO | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2404332 | Solution#5 update to resolve some Editor's note . |
pCR revised to S2-2406074 |
OPPO, ZTE, vivo | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2404333 | KI#1: Evaluation criteria for KI#1. | pCR | OPPO | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2404397 | New solution for KI#1 support monitoring the performance of AI model . |
pCR revised to S2-2405029 |
Xiaomi | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2404398 | New solution for KI#1 support the data collection for AI model training based on authorization . |
pCR revised to S2-2405087 |
Xiaomi | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2404414 | New solution for KI#2: Procedure for VFL initiation and procedure for sample and feature alignment . |
pCR revision of S2-2402542 |
Futurewei | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
merged | [WTS] [JSN] |
S2-2404427 | KI#3, New Sol: NWDAF assisted PDU Set assistance information. |
pCR revision of S2-2402660 revised to S2-2405035 |
MediaTek Inc. | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2404475 | KI#1, New Solution LMF provides AIML based positioning . |
pCR revision of S2-2402267 |
Ericsson | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2404476 | KI#3 New solution PCF as RL Agent and NWDAF as Interpreter. |
pCR revision of S2-2402264 revised to S2-2405036 |
Ericsson | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2404477 | KI#2, New Solution - VFL involving NWDAF and AF |
pCR revision of S2-2402268 revised to S2-2405076 |
Ericsson | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2404478 | KI#4, New Solution - Analytics-assisted network abnormal behaviour prevention and mitigation. |
pCR revision of S2-2402269 |
Ericsson | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2404506 | Use Case on NWDAF-assisted BDT Policy Recommendations. |
pCR revision of S2-2402666 |
Lenovo | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2404507 | New solution on BDT Policy Recommendations. |
pCR revision of S2-2402666 revised to S2-2405320 |
Lenovo | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2404510 | Discussion on R19 AIML_CN KI#4: Signalling Storm Detection, Prediction, Mitigation and Prevention | discussion | SK Telecom, China Mobile, China Telecom, Dish Network, ETRI, KDDI, KPN N.V., NTT DOCOMO, Lenovo, LG Uplus, Rakuten Mobile, Samsung, TOYOTA MOTOR, vivo | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] | ||
S2-2404511 | KI#4, New Solution: NWDAF-assisted Network Abnormal Behaviour Mitigation and Prevention. |
pCR revision of S2-2402750 revised to S2-2405021 |
SK Telecom, China Mobile, Dish Network, ETRI, KDDI, KPN N.V., Lenovo, LG Uplus, Rakuten Mobile, Samsung, TOYOTA MOTOR CORPORATION, vivo | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2404525 | Solution (KI#2): How to support Vertical Federated Learning between NWDAF and AF. |
pCR revision of S2-2402365 revised to S2-2405030 |
ETRI | 23.700-84 0.1.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2404534 | KI#2: New Solution for support registration and discovery enhancement for Vertical Federated Learning. |
pCR revision of S2-2402156 revised to S2-2405077 |
KDDI | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2404535 | KI#2: New Solution for support Vertical Federated Learning model training and inference between NWDAF and AF. |
pCR revision of S2-2402157 revised to S2-2405028 |
KDDI | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2404539 | [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 revision of S2-2402356 revised to S2-2405032 |
vivo, Intel | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] | ||
S2-2404589 | KI#2, New Sol: Inference procedure for the Vertical Federated Learning between NWDAF(s) and AF(s). |
pCR revised to S2-2405041 |
LG Electronics | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2404602 | 23.700-84: KI#1 clean up the EN for solution #6. |
pCR revised to S2-2405045 |
Qualcomm Incorporated, Ericsson | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2404613 | New Solution for NWDAF-assisted URSP rules enhancement. | pCR | China Mobile | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2404614 | Solution (KI#4): New Analytics of UE Signalling Patterns for Network Abnormal Behaviour. |
pCR revision of S2-2402462 |
ETRI | 23.700-84 0.1.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2404631 | KI#4, New Solution: NWDAF Assisted Detection and Mitigation of Signalling Storm. |
pCR revised to S2-2405074 |
Huawei, HiSilicon | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2404727 | KI#2: New Solution: Vertical Federated Learning for customised QoE . |
pCR revised to S2-2405042 |
Apple | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2404744 | [DRAFT] LS on Data collection for training LMF-side models |
LS out LS To: RAN WG 1 |
Lenovo | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] | ||
S2-2404752 | KI#4: New Solution SBA signalling storm mitigation and prevention based on NWDAF detection and prediction. | pCR | Vivo | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2404753 | KI#4: New Solution NAS signaling storm mitigation and prevention based on NWDAF detection and prediction. | pCR | Vivo | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2404943 | KI#2, New Solution, VFL, Feature and sampling alignment . | pCR | Interdigital Inc. | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2404944 | KI#1, New Solution, Handling of Direct AIML Positioning . | pCR | InterDigital Inc. | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] |
S2-2404949 | KI#3, New Solution, Sustainability-based QoS policies determination . |
pCR revised to S2-2405037 |
InterDigital Inc. | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2404994 | [DRAFT] LS on Input Data for LMF sided model training |
LS out LS To: RAN WG1, RAN WG2 |
Nokia | FS_AIML_CN | Rel-18 |
S2-162 AI: 19.15 |
not treated | [WTS] [JSN] | |
S2-2405020 | KI#1: Update Solution#1 by resolving ENs and merge with Solution 3. |
pCR revision of S2-2404208 revised to S2-2405321 |
Vivo, Intel, ZTE, NTT DOCOMO, OPPO, Lenovo, China Telecom | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405021 | KI#4, New Solution: NWDAF-assisted Network Abnormal Behaviour Mitigation and Prevention. |
pCR revision of S2-2404511 revised to S2-2405331 |
SK Telecom, China Mobile, Dish Network, ETRI, KDDI, KPN N.V., Lenovo, LG Uplus, Rakuten Mobile, Samsung, TOYOTA MOTOR CORPORATION, vivo, OPPO | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405022 | New Solution for KI#2 Sample/Feature alignment and general training procedure for the VFL. |
pCR revision of S2-2404330 |
OPPO, China Telecom, ZTE, Sony, KDDI, ETRI, Interdigital Inc. | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405023 | General procedure for NWDAF initiated Vertical Federated Learning between NWDAF(s) and AF(s) . |
pCR revision of S2-2404047 revised to S2-2405335 |
China Mobile,OPPO,KDDI, ZTE | 23.700-84 0.1.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405024 | NWDAF-assisted policy control with Recommendation logical function. |
pCR revision of S2-2404104 |
Huawei, HiSilicon, China Mobile, Lenovo, China Telecom | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405025 | KI#3 new solution of NWDAF assisted QoS policy generation. |
pCR revision of S2-2403939 |
CATT | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405026 | KI#2: New Solution on Support for VFL with NWDAF and AF as Participants. |
pCR revision of S2-2403965 revised to S2-2405336 |
Samsung, Futurewei | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405027 | KI#2: New Solution Vertical Federated Learning . |
pCR revision of S2-2404210 revised to S2-2405322 |
Vivo, Huawei, HiSilicon, Tencent, Tencent Cloud | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405028 | KI#2: New Solution for support Vertical Federated Learning model training and inference between NWDAF and AF. |
pCR revision of S2-2404535 revised to S2-2405338 |
KDDI | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405029 | New solution for KI#1 support monitoring the performance of AI model . |
pCR revision of S2-2404397 revised to S2-2405341 |
Xiaomi, Huawei | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405030 | Solution (KI#2): How to support Vertical Federated Learning between NWDAF and AF. |
pCR revision of S2-2404525 |
ETRI | 23.700-84 0.1.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405031 | KI#4: New Sol: NWDAF analytics for signalling storm prediction. |
pCR revision of S2-2404033 revised to S2-2405566 |
NTT DOCOMO, Vivo, Lenovo, Nokia | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405032 | [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 revision of S2-2404539 revised to S2-2405578 |
vivo, Intel | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] | ||
S2-2405033 | KI #3, New Sol: NWDAF QoS Flow Analytics. |
pCR revision of S2-2404032 |
NTT DOCOMO, CATT | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405034 | Solution (KI#3): How to evaluate NWDAF-assisted policy control and QoS enhancement. |
pCR revision of S2-2404037 |
ETRI | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405035 | KI#3, New Sol: NWDAF assisted PDU Set assistance information. |
pCR revision of S2-2404427 |
MediaTek Inc., Lenovo | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405036 | KI#3 New solution PCF as RL Agent and NWDAF as Interpreter enhancement. |
pCR revision of S2-2404476 revised to S2-2405332 |
Ericsson | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405037 | KI#3, New Solution, Sustainability-based QoS policies determination . |
pCR revision of S2-2404949 revised to S2-2405333 |
InterDigital Inc., OPPO, ICS? | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405038 | New Solution for KI#4: Registration signalling analytics to support detection and prevention of signalling storm. |
pCR revision of S2-2404170 revised to S2-2405334 |
China Telecom, OPPO | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405039 | Solution for KI#2: Support for vertical federated learning: Model Training and Inference. |
pCR revision of S2-2403921 revised to S2-2405558 |
Lenovo | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405040 | Solution about NF discovery and selection process of VFL. |
pCR revision of S2-2403995 revised to S2-2405328 |
ZTE | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405041 | KI#2, New Sol: Inference procedure for the Vertical Federated Learning between NWDAF(s) and AF(s). |
pCR revision of S2-2404589 |
LG Electronics | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405042 | KI#2: New Solution: Vertical Federated Learning for customised QoE . |
pCR revision of S2-2404727 |
Apple | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405043 | Solution for KI#1: Training Model to determine location. |
pCR revision of S2-2403961 revised to S2-2405339 |
Nokia | 23.700-84 0.1.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405044 | New Solution on MTLF-based model performance monitoring for AI/ML positioning. |
pCR revision of S2-2404109 revised to S2-2405340 |
China Mobile | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405045 | 23.700-84: KI#1 clean up the EN for solution #6. |
pCR revision of S2-2404602 revised to S2-2405342 |
Qualcomm Incorporated, Ericsson | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405073 | KI#3, New Sol: QoS/policy enhancements assisted by NWDAF. |
pCR revision of S2-2403967 revised to S2-2405343 |
Samsung, SK Telecom | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405074 | KI#4, New Solution: NWDAF Assisted Detection and Mitigation of Signalling Storm. |
pCR revision of S2-2404631 revised to S2-2405346 |
Huawei, HiSilicon | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405075 | Solution for KI#2: Vertical Federated learning considering Internal NWDAF architecture. |
pCR revision of S2-2403962 revised to S2-2405347 |
Nokia | 23.700-84 0.1.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405076 | KI#2, new Solution: VFL involving NWDAF and AF. |
pCR revision of S2-2404477 revised to S2-2405349 |
Ericsson | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405077 | KI#2: New Solution for support registration and discovery enhancement for Vertical Federated Learning. |
pCR revision of S2-2404534 revised to S2-2405562 |
KDDI | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405084 | Updates to Terminology. |
pCR revision of S2-2403966 revised to S2-2405348 |
Samsung | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405085 | KI#1 new solution of Direct AI/ML based positioning with NWDAF assistance. |
pCR revision of S2-2403938 revised to S2-2405563 |
CATT | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405086 | TR 23.700-84: KI#1 New solution about data collection procedure for LMF-side model training. |
pCR revision of S2-2403990 revised to S2-2405350 |
ZTE | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405087 | New solution for KI#1 support the data collection for AI model training based on authorization . |
pCR revision of S2-2404398 revised to S2-2405565 |
Xiaomi | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405088 | Solution to key issue 4: Signalling storm detection and mitigation based on O&M data. |
pCR revision of S2-2404041 revised to S2-2405345 |
OPPO | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405320 | New solution on BDT Policy Recommendations. |
pCR revision of S2-2404507 revised to S2-2405344 |
Lenovo | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405321 | KI#1: Update Solution#1 by resolving ENs and merge with Solution 3. |
pCR revision of S2-2405020 revised to S2-2405330 |
Vivo, Intel, ZTE, NTT DOCOMO, OPPO, Lenovo, China Telecom | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405322 | KI#2: New Solution Vertical Federated Learning . |
pCR revision of S2-2405027 revised to S2-2405337 |
Vivo, Huawei, HiSilicon, Tencent, Tencent Cloud | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405328 | Solution about NF discovery and selection process of VFL. |
pCR revision of S2-2405040 |
ZTE | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405330 | KI#1: Update Solution#1 . |
pCR revision of S2-2405321 revised to S2-2405573 |
Vivo, Intel, ZTE, NTT DOCOMO, OPPO, Lenovo, China Telecom | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405331 | KI#4, New Solution: NWDAF-assisted Network Abnormal Behaviour Mitigation and Prevention. |
pCR revision of S2-2405021 revised to S2-2405559 |
SK Telecom, China Mobile, Dish Network, ETRI, KDDI, KPN N.V., Lenovo, LG Uplus, Rakuten Mobile, Samsung, TOYOTA MOTOR CORPORATION, vivo, OPPO, NTT DOCOMO | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405332 | KI#3 New solution PCF as RL Agent and NWDAF as Interpreter enhancement. |
pCR revision of S2-2405036 |
Ericsson, Interdigital | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405333 | KI#3, New Solution, Sustainability-based QoS policies determination . |
pCR revision of S2-2405037 revised to S2-2405575 |
InterDigital Inc., OPPO,ICS | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405334 | New Solution for KI#4: Registration signalling analytics to support detection and prevention of signalling storm. |
pCR revision of S2-2405038 |
China Telecom, OPPO, Samsung | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405335 | General procedure for NWDAF initiated Vertical Federated Learning between NWDAF(s) and AF(s) . |
pCR revision of S2-2405023 |
China Mobile,OPPO,KDDI, ZTE | 23.700-84 0.1.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405336 | KI#2: New Solution on Support for VFL with NWDAF and AF as Participants. |
pCR revision of S2-2405026 |
Samsung, Futurewei | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405337 | KI#2: New Solution Vertical Federated Learning . |
pCR revision of S2-2405322 |
Vivo, Huawei, HiSilicon, Tencent, Tencent Cloud | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405338 | KI#2: New Solution for support Vertical Federated Learning model training and inference between NWDAF and AF. |
pCR revision of S2-2405028 |
KDDI | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405339 | Solution for KI#1: Training Model to determine location. |
pCR revision of S2-2405043 |
Nokia | 23.700-84 0.1.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405340 | New Solution on MTLF-based model performance monitoring for AI/ML positioning. |
pCR revision of S2-2405044 |
China Mobile | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405341 | New solution for KI#1 support monitoring the performance of AI model . |
pCR revision of S2-2405029 |
Xiaomi, Huawei | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405342 | 23.700-84: KI#1 clean up the EN for solution #6. |
pCR revision of S2-2405045 |
Qualcomm Incorporated, Ericsson, NTT Docomo | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405343 | KI#3, New Sol: QoS/policy enhancements assisted by NWDAF. |
pCR revision of S2-2405073 revised to S2-2405576 |
Samsung, SK Telecom | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405344 | New solution on BDT Policy Recommendations. |
pCR revision of S2-2405320 |
Lenovo | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405345 | Solution to key issue 4: Signalling storm detection and mitigation based on O&M data. |
pCR revision of S2-2405088 |
OPPO, Ericsson | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405346 | KI#4, New Solution: NWDAF Assisted Detection and Mitigation of Signalling Storm. |
pCR revision of S2-2405074 |
Huawei, HiSilicon | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405347 | Solution for KI#2: Vertical Federated learning considering Internal NWDAF architecture. |
pCR revision of S2-2405075 |
Nokia | 23.700-84 0.1.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405348 | Updates to Terminology. |
pCR revision of S2-2405084 revised to S2-2405572 |
Samsung | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405349 | KI#2, new Solution: VFL involving NWDAF and AF. |
pCR revision of S2-2405076 revised to S2-2405561 |
Ericsson | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405350 | TR 23.700-84: KI#1 New solution about data collection procedure for LMF-side model training. |
pCR revision of S2-2405086 revised to S2-2405564 |
ZTE | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405558 | Solution for KI#2: Support for vertical federated learning: Model Training and Inference. |
pCR revision of S2-2405039 |
Lenovo, NTT Docomo | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405559 | KI#4, New Solution: NWDAF-assisted Network Abnormal Behaviour Mitigation and Prevention. |
pCR revision of S2-2405331 revised to S2-2405574 |
SK Telecom, China Mobile, Dish Network, ETRI, KDDI, KPN N.V., Lenovo, LG Uplus, Rakuten Mobile, Samsung, TOYOTA MOTOR CORPORATION, vivo, OPPO, NTT DOCOMO | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] |
S2-2405561 | KI#2, new Solution: VFL involving NWDAF and AF. |
pCR revision of S2-2405349 |
Ericsson | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405562 | KI#2: New Solution for support registration and discovery enhancement for Vertical Federated Learning. |
pCR revision of S2-2405077 |
KDDI | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405563 | KI#1 new solution of Direct AI/ML based positioning with NWDAF assistance. |
pCR revision of S2-2405085 |
CATT | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405564 | TR 23.700-84: KI#1 New solution about data collection procedure for LMF-side model training. |
pCR revision of S2-2405350 |
ZTE | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405565 | New solution for KI#1 support the data collection for AI model training based on authorization . |
pCR revision of S2-2405087 |
Xiaomi | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405566 | KI#4: New Sol: NWDAF analytics for signalling storm prediction. |
pCR revision of S2-2405031 |
NTT DOCOMO, Vivo, Lenovo, Nokia | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405572 | Updates to Terminology. |
pCR revision of S2-2405348 |
Samsung | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405573 | KI#1: Update Solution#1 . |
pCR revision of S2-2405330 |
Vivo, Intel, ZTE, NTT DOCOMO, OPPO, Lenovo, China Telecom | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405574 | KI#4, New Solution: NWDAF-assisted Network Abnormal Behaviour Mitigation and Prevention. |
pCR revision of S2-2405559 |
SK Telecom, China Mobile, Dish Network, ETRI, KDDI, KPN N.V., Lenovo, LG Uplus, Rakuten Mobile, Samsung, TOYOTA MOTOR CORPORATION, vivo, OPPO, NTT DOCOMO | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405575 | KI#3, New Solution, Sustainability-based QoS policies determination . |
pCR revision of S2-2405333 |
InterDigital Inc., OPPO, ICS | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405576 | KI#3, New Sol: QoS/policy enhancements assisted by NWDAF. |
pCR revision of S2-2405343 |
Samsung, SK Telecom | 23.700-84 0.2.0 | FS_AIML_CN | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
S2-2405578 | [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 revision of S2-2405032 revised to S2-2405612 |
vivo, Intel | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] | ||
S2-2405612 | [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 revision of S2-2405578 revised to S2-2405833 |
vivo, Intel | Rel-19 |
S2-162 AI: 19.15 |
revised | [WTS] [JSN] | ||
S2-2405833 | 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 revision of S2-2405612 |
SA WG2 | Rel-19 |
S2-162 AI: 19.15 |
approved | [WTS] [JSN] |
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