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 |
|---|---|---|---|---|---|---|---|---|---|
| S5-245274 | Rel-19 pCR TR 28.858 Add possible solutions on ML entity distributed training management |
pCR revision of S5-244256 revised to S5-246003 |
CATT | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245275 | Rel-19 pCR TR 28.858 Update use case on ML entity distributed training |
pCR revised to S5-246002 |
CATT | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245299 | Rel-19 pCR TR 28.858 add the use case of Managing NWDAF inference function |
pCR revised to S5-245999 |
Huawei | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245300 | Rel-19 pCR TR 28.858 add use case of managing NG-RAN AIML-based Network Slicing |
pCR revised to S5-246000 |
Huawei | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245301 | Rel-19 pCR TR 28.858 add use case of managing NG-RAN AIML-based Coverage and Capacity Optimization |
pCR revised to S5-246001 |
Huawei | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245302 | Rel-19 pCR TR 28.858 add the use case of Data collection for UE-side model training | pCR | Huawei | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-245303 | Rel-19 pCR TR 28.858 Update the use case of ML training data statistics |
pCR revised to S5-245993 |
Huawei | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245304 | Rel-19 pCR TR 28.858 Update the use case of ML model training for multiple contexts |
pCR revised to S5-246259 |
Huawei | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245305 | Rel-19 pCR TR 28.858 Update the use case of Managing ML Model Transfer in RAN | pCR | Huawei | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-245306 | Rel-19 pCR TR 28.858 add use cases, requirements for network performance management of reinforcement learning | pCR | Huawei | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-245307 | Rel-19 pCR TR 28.858 add possible solutions and evaluations for reinforcement learning management | pCR | Huawei | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-245308 | Rel-19 pCR TR 28.858 add use cases, requirements for conflict management of reinforcement learning |
pCR revised to S5-246257 |
Huawei | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245309 | Rel-19 pCR TR 28.858 add possible solutions for conflict management of reinforcement learning |
pCR revised to S5-246256 |
Huawei | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245395 | Rel-19 pCR TR 28.858 add solution for AI emulation |
pCR revised to S5-245990 |
China Mobile | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245416 | Rel-19 pCR TR 28.858 improve ML-knowledge-based transfer learning use case |
pCR revised to S5-245994 |
Nokia | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245460 | Rel-19 pCR TR 28.858 Update the Description of Management of Reinforcement Learning Use Case |
pCR revised to S5-246254 |
ZTE Corporation | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245461 | Rel-19 pCR TR 28.858 Add New Requirements and Possible Solution to the Reinforcement Learning Use Case |
pCR revised to S5-246255 |
ZTE Corporation | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245462 | Rel-19 pCR TR 28.858 Add Possible Solution, Evaluation and Conclusion for Managing ML Model Transfer in RAN | pCR | ZTE Corporation | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-245463 | Rel-19 pCR TR 28.858 Add Term and Concept for HFL and VFL | pCR | ZTE Corporation | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-245464 | Rel-19 pCR TR 28.858 Update Description and Add New Requirements to Management of Federated Learning Use Case |
pCR revised to S5-246004 |
ZTE Corporation | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245465 | Rel-19 pCR TR 28.858 Add Possible Solution for Management of Federated Learning | pCR | ZTE Corporation | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-245479 | pCR 28.858 Updates to Coordination between the ML capabilities |
pCR revised to S5-245991 |
Nokia, Nokia Shanghai Bell | 28.858 0.2.0 | AIML_MGT | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245480 | Rel-19 pCR TR 28.858 Add evaluation for ML model confidence |
pCR revised to S5-246261 |
Nokia | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245482 | Rel-19 pCR TR 28.858 Add solution for ML remedial action management |
pCR revised to S5-246262 |
Nokia | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245483 | Rel-19 pCR TR 28.858 Add solution for Management of Reinforcement Learning | pCR | Nokia | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-245484 | Rel-19 pCR TR 28.858 Add solution for ML training aspects of sustainable AIML |
pCR revised to S5-246265 |
Nokia | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245485 | Rel-19 pCR TR 28.858 Add solution for ML inference aspects of sustainable AIML |
pCR revised to S5-245992 |
Nokia | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245487 | Rel-19 pCR TR 28.858 Add use case to support efficient retraining |
pCR revised to S5-246278 |
Nokia | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245489 | Rel-19 pCR TR 28.858 AIML prediction latency |
pCR revised to S5-246263 |
Nokia | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245490 | Discussion on ML explainability | discussion | Nokia, Verizon | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
noted | [WTS] [JSN] | |
| S5-245491 | Rel-19 pCR TR 28.858 ML explainability |
pCR revised to S5-245719 |
Nokia, Verizon | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245492 | Rel-19 pCR TR 28.858 Add evaluation for ML model training for multiple contexts |
pCR revised to S5-246260 |
Nokia | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245493 | pCR 28.858 Add description for GenAI | pCR | HUAWEI Technologies Japan K.K. | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
noted | [WTS] [JSN] |
| S5-245531 | Rel-19 pCR TR 28.858 Add Evaluation and Conclusion for Pre-training |
pCR revised to S5-246251 |
China Mobile Com. Corporation, ZTE | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245532 | Rel-19 pCR TR 28.858 Add Evaluation and Conclusion for Fine-tuning | pCR | China Mobile Com. Corporation, ZTE | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
noted | [WTS] [JSN] |
| S5-245552 | pCR TR 28.858 Add possible solution for management of Federated Learning |
pCR revised to S5-245780 |
Intel, ZTE, Nokia, China Mobile, NEC, HUAWEI | 28.858 0.1.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245556 | pCR 28.858 Correct use of specification |
pCR revised to S5-246253 |
HUAWEI Technologies Japan K.K. | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245663 | Rel-19 pCR 28.858 Solution for managing ML Model in live network |
pCR revised to S5-245996 |
Samsung, AT&T | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245681 | Rel-19 pCR 28.858 Generative AI | pCR | Samsung R&D Institute India | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
noted | [WTS] [JSN] |
| S5-245685 | PCR TR 28.858 Add missing Terms and abbreviations | pCR | Ericsson-LG Co., LTD | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-245686 | PCR TR 28.858 Pre-training Potential Solution and Evaluation | pCR | Ericsson-LG Co., LTD | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-245687 | PCR TR 28.858 Fine-Tunning Potential Solution and Evaluation | pCR | Ericsson-LG Co., LTD | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
noted | [WTS] [JSN] |
| S5-245688 | PCR TR 28.858 Adding ML Authentication UseCase |
pCR revised to S5-246258 |
Ericsson-LG Co., LTD | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245719 | Rel-19 pCR TR 28.858 ML explainability |
pCR revision of S5-245491 revised to S5-245840 |
Nokia, Verizon, NTT DOCOMO | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245780 | pCR TR 28.858 Add possible solution for management of Federated Learning |
pCR revision of S5-245552 revised to S5-246248 |
Intel, ZTE, Nokia, China Mobile, NEC, HUAWEI, Ericsson | 28.858 0.1.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245840 | Rel-19 pCR TR 28.858 ML explainability |
pCR revision of S5-245719 revised to S5-246266 |
Nokia, Verizon, NTT DOCOMO, Deutsche Telekom | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245853 | WF: Study on AI/ML management – phase 2 | discussion | NEC, Intel | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
noted | [WTS] [JSN] | |
| S5-245855 | pCR TR 28.858 clarifications into ML model transfer use case |
pCR revised to S5-245998 |
NEC, Intel | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245856 | pCR TR 28.858 clarifications and corrections into ML-Knowledge-based Transfer Learning |
pCR revised to S5-245995 |
NEC, Intel | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245857 | pCR TR 28.858 clarifications and corrections into AI/ML inference emulation | pCR | NEC, Intel | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-245858 | pCR TR 28.858 add terms and abbreviations |
pCR revised to S5-246264 |
NEC, Intel | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245859 | pCR TR 28.858 add reference to TS 28.105 for Rel-19 terms and definitions | pCR | NEC, Intel | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-245860 | pCR TR 28.858 add clarifications on ML pre-training use case |
pCR revised to S5-246252 |
NEC, Intel | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245861 | pCR TR 28.858 add clarifications on ML fine-tuning use case |
pCR revised to S5-246250 |
NEC, Intel | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245862 | DP Rel-18 and Rel-19 AIML related terms and definitions | pCR | NEC, Intel | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
endorsed | [WTS] [JSN] |
| S5-245950 | Draft TR 28.858 | draft TR | NEC | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] | |
| S5-245990 | Rel-19 pCR TR 28.858 add solution for AI emulation |
pCR revision of S5-245395 |
China Mobile, Nokia | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-245991 | pCR 28.858 Updates to Coordination between the ML capabilities |
pCR revision of S5-245479 |
Nokia, Nokia Shanghai Bell | 28.858 0.2.0 | AIML_MGT | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-245992 | Rel-19 pCR TR 28.858 Add solution for ML inference aspects of sustainable AIML |
pCR revision of S5-245485 revised to S5-246284 |
Nokia | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-245993 | Rel-19 pCR TR 28.858 Update the use case of ML training data statistics |
pCR revision of S5-245303 |
Huawei | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-245994 | Rel-19 pCR TR 28.858 improve ML-knowledge-based transfer learning use case |
pCR revision of S5-245416 |
Nokia | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-245995 | pCR TR 28.858 clarifications and corrections into ML-Knowledge-based Transfer Learning |
pCR revision of S5-245856 |
NEC, Intel | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-245996 | Rel-19 pCR 28.858 Solution for managing ML Model in live network |
pCR revision of S5-245663 |
Samsung, AT&T | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
noted | [WTS] [JSN] |
| S5-245997 | Clarification on model transfer from OEM Model transfer/delivery to UE |
LS out LS To: RAN2 |
Huawei | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
withdrawn | [WTS] [JSN] | |
| S5-245998 | pCR TR 28.858 clarifications into ML model transfer use case |
pCR revision of S5-245855 |
NEC, Intel, Huawei, ZTE, Deutsche Telekom | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-245999 | Rel-19 pCR TR 28.858 add the use case of Managing NWDAF inference function |
pCR revision of S5-245299 |
Huawei | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
noted | [WTS] [JSN] |
| S5-246000 | Rel-19 pCR TR 28.858 add use case of managing NG-RAN AIML-based Network Slicing |
pCR revision of S5-245300 |
Huawei | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
noted | [WTS] [JSN] |
| S5-246001 | Rel-19 pCR TR 28.858 add use case of managing NG-RAN AIML-based Coverage and Capacity Optimization |
pCR revision of S5-245301 |
Huawei | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
noted | [WTS] [JSN] |
| S5-246002 | Rel-19 pCR TR 28.858 Update use case on ML entity distributed training |
pCR revision of S5-245275 |
CATT | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-246003 | Rel-19 pCR TR 28.858 Add possible solutions on ML entity distributed training management |
pCR revision of S5-245274 |
CATT | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-246004 | Rel-19 pCR TR 28.858 Update Description and Add New Requirements to Management of Federated Learning Use Case |
pCR revision of S5-245464 |
ZTE Corporation | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-246248 | pCR TR 28.858 Add possible solution for management of Federated Learning |
pCR revision of S5-245780 |
Intel, ZTE, Nokia, China Mobile, NEC, HUAWEI, Ericsson | 28.858 0.1.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-246250 | pCR TR 28.858 add clarifications on ML fine-tuning use case |
pCR revision of S5-245861 |
NEC, Intel | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
noted | [WTS] [JSN] |
| S5-246251 | Rel-19 pCR TR 28.858 Add Evaluation and Conclusion for Pre-training |
pCR revision of S5-245531 |
China Mobile Com. Corporation, Ericsson-LG Co, ZTE, NEC, Nokia | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-246252 | pCR TR 28.858 add clarifications on ML pre-training use case |
pCR revision of S5-245860 |
NEC, Intel | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
noted | [WTS] [JSN] |
| S5-246253 | pCR 28.858 Correct use of specification |
pCR revision of S5-245556 |
HUAWEI Technologies Japan K.K. | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-246254 | Rel-19 pCR TR 28.858 Update the Description of Management of Reinforcement Learning Use Case |
pCR revision of S5-245460 |
ZTE Corporation | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-246255 | Rel-19 pCR TR 28.858 Add New Requirements and Possible Solution to the Reinforcement Learning Use Case |
pCR revision of S5-245461 |
ZTE Corporation, Huawei, Nokia, Samsung | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-246256 | Rel-19 pCR TR 28.858 add possible solutions for conflict management of reinforcement learning |
pCR revision of S5-245309 |
Huawei, Nokia | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-246257 | Rel-19 pCR TR 28.858 add use cases, requirements for conflict management of reinforcement learning |
pCR revision of S5-245308 |
Huawei, Nokia, ZTE | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-246258 | PCR TR 28.858 Adding ML Authentication UseCase |
pCR revision of S5-245688 |
Ericsson-LG Co., LTD | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-246259 | Rel-19 pCR TR 28.858 Update the use case of ML model training for multiple contexts |
pCR revision of S5-245304 |
Huawei | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-246260 | Rel-19 pCR TR 28.858 Add evaluation for ML model training for multiple contexts |
pCR revision of S5-245492 |
Nokia | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-246261 | Rel-19 pCR TR 28.858 Add evaluation for ML model confidence |
pCR revision of S5-245480 |
Nokia | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-246262 | Rel-19 pCR TR 28.858 Add solution for ML remedial action management |
pCR revision of S5-245482 |
Nokia | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-246263 | Rel-19 pCR TR 28.858 AIML prediction latency |
pCR revision of S5-245489 |
Nokia, ZTE | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-246264 | pCR TR 28.858 add terms and abbreviations |
pCR revision of S5-245858 |
NEC, Intel | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-246265 | Rel-19 pCR TR 28.858 Add solution for ML training aspects of sustainable AIML |
pCR revision of S5-245484 revised to S5-246285 |
Nokia | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-246266 | Rel-19 pCR TR 28.858 ML explainability |
pCR revision of S5-245840 |
Nokia, Verizon, NTT DOCOMO, Deutsche Telekom | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-246278 | Rel-19 pCR TR 28.858 Add use case to support efficient retraining |
pCR revision of S5-245487 |
Nokia | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
noted | [WTS] [JSN] |
| S5-246284 | Rel-19 pCR TR 28.858 Add solution for ML inference aspects of sustainable AIML |
pCR revision of S5-245992 |
Nokia, ZTE | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-246285 | Rel-19 pCR TR 28.858 Add solution for ML training aspects of sustainable AIML |
pCR revision of S5-246265 |
Nokia, ZTE | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-246292 | LS on AI/ML Model transfer/delivery to UE |
LS out LS To: RAN2, RAN1 |
NEC | FS_AIML_MGT_Ph2 | Rel-19 |
S5-157 AI: 6.19.1 |
approved | [WTS] [JSN] |
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