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 |
|---|---|---|---|---|---|---|---|---|---|
| S5-246363 | pCR TR 28.858 add conclusion and recommendations |
pCR revised to S5-247061 |
NEC, Intel, China Unicom, Telecom Italia, ZTE | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-246364 | pCR TR 28.858 rapporteur corrections and cleanup |
pCR revised to S5-247062 |
NEC, Intel | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-246484 | Rel-19 pCR TR 28.858 Clarifications to the description and use case for ML model transfer or delivery |
pCR revised to S5-247068 |
Nokia | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-246485 | Rel-19 pCR TR 28.858 Add evaluation for remedial action management |
pCR revised to S5-247315 |
Nokia | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-246486 | Rel-19 pCR TR 28.858 Add evaluation for sustainable AIML |
pCR revised to S5-247092 |
Nokia | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-246487 | Rel-19 pCR TR 28.858 Enhance solution and add evaluation for ML explainability in training | pCR | Nokia, NTT DOCOMO | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-246488 | Rel-19 pCR TR 28.858 Add solution and evaluation for ML explainability in inference |
pCR revised to S5-247094 |
Nokia, NTT DOCOMO | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-246489 | Rel-19 pCR TR 28.858 Enhance solution and add evaluation for management of FL | pCR | Nokia | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-246490 | Rel-19 pCR TR 28.858 Enhance solution and evaluation for management of RL |
pCR revised to S5-247089 |
Nokia | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-246491 | pCR TR 28.858 add clarifications on ML fine-tuning use case | pCR | NEC, Intel | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-246492 | pCR TR 28.858 add clarifications on ML pre-training use case |
pCR revised to S5-247087 |
NEC, Intel | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-246493 | Rel-19 pCR TR 28.858 Add solution and evaluation for AIML prediction latency |
pCR revised to S5-247069 |
Nokia | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-246543 | Rel-19 pCR TR 28.858 add the use case of Managing NWDAF inference function | pCR | Huawei, China Mobile, AsiaInfo, China Unicom, Deutsche Telekom | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-246544 | Rel-19 pCR TR 28.858 add use case of managing NG-RAN AIML-based Network Slicing | pCR | Huawei, Ericsson, ZTE, Intel, AsiaInfo, CATT, China Unicom, Deutsche Telekom | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-246545 | Rel-19 pCR TR 28.858 add use case of managing NG-RAN AIML-based Coverage and Capacity Optimization | pCR | Huawei, Ericsson, ZTE, Intel, AsiaInfo, CATT, China Unicom, Deutsche Telekom | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-246546 | Rel-19 pCR TR 28.858 add evaluation and conclusions for conflict management of reinforcement learning |
pCR revised to S5-247091 |
Huawei | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-246547 | Rel-19 pCR TR 28.858 add conclusions for Exploration in Reinforcement | pCR | Huawei | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-246587 | Rel-19 pCR TR 28.858 Editor’s Note modification for ML model training | pCR | DOCOMO Beijing Labs | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-246588 | Rel-19 pCR TR 28.858 Editor’s Note modification for AI/ML inference | pCR | DOCOMO Beijing Labs | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-246595 | Rel-19 pCR 28.858 Solution enhancement and evaluation for ML model in live network |
pCR revised to S5-247067 |
Samsung R&D Institute UK | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-246643 | Rel-19 pCR TR 28.858 Add evaluation for ML model distributed training | pCR | CATT | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-246646 | Rel-19 pCR TR 28.858 Add Conclusion for Pre-training | pCR | China Mobile, ZTE | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-246650 | Rel-19 pCR TR 28.858 add the use case of Managing NWDAF inference function | pCR | Huawei, China Mobile, AsiaInfo, China Unicom, Deutsche Telekom | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
withdrawn | [WTS] [JSN] |
| S5-246651 | Rel-19 pCR TR 28.858 add use case of managing NG-RAN AIML-based Network Slicing | pCR | Huawei, Ericsson, ZTE, Intel, AsiaInfo, CATT, China Unicom, Deutsche Telekom | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
withdrawn | [WTS] [JSN] |
| S5-246652 | Rel-19 pCR TR 28.858 add use case of managing NG-RAN AIML-based Coverage and Capacity Optimization | pCR | Huawei, Ericsson, ZTE, Intel, AsiaInfo, CATT, China Unicom, Deutsche Telekom | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
withdrawn | [WTS] [JSN] |
| S5-246653 | Rel-19 pCR TR 28.858 add evaluation and conclusions for conflict management of reinforcement learning | pCR | Huawei | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
withdrawn | [WTS] [JSN] |
| S5-246654 | Rel-19 pCR TR 28.858 add conclusions for network performance management of reinforcement learning | pCR | Huawei | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
withdrawn | [WTS] [JSN] |
| S5-246660 | Rel-19 pCR TR 28.858 Add Evaluation and Conclusion for Fine-tuning | pCR | China Mobile, ZTE | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-246682 | Rel-19 pCR TR 28.858 add the use case of Managing NWDAF inference function | pCR | Huawei | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
withdrawn | [WTS] [JSN] |
| S5-246683 | Rel-19 pCR TR 28.858 add use case of managing NG-RAN AIML-based Network Slicing | pCR | Huawei | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
withdrawn | [WTS] [JSN] |
| S5-246684 | Rel-19 pCR TR 28.858 add use case of managing NG-RAN AIML-based Coverage and Capacity Optimization | pCR | Huawei | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
withdrawn | [WTS] [JSN] |
| S5-246685 | 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 |
S5-158 AI: 6.19.1 |
withdrawn | [WTS] [JSN] |
| S5-246686 | Rel-19 pCR TR 28.858 Update the use case of ML training data statistics | pCR | Huawei | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
withdrawn | [WTS] [JSN] |
| S5-246687 | Rel-19 pCR TR 28.858 Update the use case of ML model training for multiple contexts | pCR | Huawei | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
withdrawn | [WTS] [JSN] |
| S5-246688 | 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 |
S5-158 AI: 6.19.1 |
withdrawn | [WTS] [JSN] |
| S5-246689 | 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 |
S5-158 AI: 6.19.1 |
withdrawn | [WTS] [JSN] |
| S5-246690 | 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 |
S5-158 AI: 6.19.1 |
withdrawn | [WTS] [JSN] |
| S5-246691 | Rel-19 pCR TR 28.858 add use cases, requirements for conflict management of reinforcement learning | pCR | Huawei | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
withdrawn | [WTS] [JSN] |
| S5-246692 | Rel-19 pCR TR 28.858 add possible solutions for conflict management of reinforcement learning | pCR | Huawei | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
withdrawn | [WTS] [JSN] |
| S5-246719 | Rel-19 pCR TR 28.858 enhance the overview to support the NG-RAN and 5GC |
pCR revised to S5-247098 |
Huawei Technologies (Korea) | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-246727 | R19 pCR TR 28.858 Add Evaluation on Sustainable AIML | pCR | ZTE Corporation | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-246728 | R19 pCR TR 28.858 Add Potential Solution and Evaluation of Managing ML Model Delivery | pCR | ZTE Corporation | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-246729 | R19 pCR TR 28.858 Add Evaluation on Management of Federated Learning |
pCR revised to S5-247086 |
ZTE Corporation | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-246730 | R19 pCR TR 28.858 Update the Reinforcement Learning Use Case |
pCR revised to S5-247090 |
ZTE Corporation | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-246785 | pCR TR 28.858 add some description for Coordination between the ML capabilities | pCR | China Mobile | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
not pursued | [WTS] [JSN] |
| S5-246808 | pCR TR 28.858 add clarifications and corrections to the Scope |
pCR revised to S5-247063 |
NEC, Intel | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-246809 | pCR TR 28.858 add clarifications and corrections to the Terms |
pCR revised to S5-247064 |
NEC, Intel | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-246848 | PCR TR 28.858 Add Conclusion for ML Authentication | pCR | Ericsson India Private Limited | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-246850 | PCR TS 28.858 Add Evaluation for RL | pCR | Ericsson India Private Limited | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-246853 | PCR TR 28.858 Correct Model Confidence Evaluation |
pCR revised to S5-247085 |
Ericsson India Private Limited | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-246854 | PCR TR 28.858 Correct model training for multiple contexts |
pCR revised to S5-247088 |
Ericsson India Private Limited | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-246855 | DP Model Training or multiple Contexts (related to TR 28.858) | discussion | Ericsson India Private Limited | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
noted | [WTS] [JSN] | |
| S5-246856 | PCR TR 28.858 Correct Pre-Training term definition | pCR | Ericsson India Private Limited | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-246857 | PCR TR 28.858 Correct Fine-Tunning term definition |
pCR revised to S5-247065 |
Ericsson India Private Limited | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-246859 | PCR TR 28.858 Remove Unused clause | pCR | Ericsson India Private Limited | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-246877 | Rel 19 pCR TR 28.858 Add evaluation for sustainable AIML | pCR | Ericsson Japan K.K. | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-246890 | Rel-19 pCR TR 28.858 Enhance solution for managing ML models in use in a live network | pCR | Nokia | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-246914 | Rel 19 pCR TR 28.858 ML-Knowledge-based Transfer Learning Evaluation |
pCR revised to S5-247066 |
Ericsson-LG Co., LTD | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-247034 | Draft TR 28.858 | draft TR | NEC | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
approved | [WTS] [JSN] | |
| S5-247049 | Presentation of TR 28.858 to SA for Information and Approval | TS or TR cover | NEC | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
agreed | [WTS] [JSN] | |
| S5-247061 | pCR TR 28.858 add conclusion and recommendations |
pCR revision of S5-246363 |
NEC, Intel, China Unicom, Telecom Italia, ZTE | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-247062 | pCR TR 28.858 rapporteur corrections and cleanup |
pCR revision of S5-246364 |
NEC, Intel | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-247063 | pCR TR 28.858 add clarifications and corrections to the Scope |
pCR revision of S5-246808 |
NEC, Intel | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-247064 | pCR TR 28.858 add clarifications and corrections to the Terms |
pCR revision of S5-246809 |
NEC, Intel, Ericsson, Huawei, ZTE, Nokia | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-247065 | PCR TR 28.858 Correct Fine-Tunning term definition |
pCR revision of S5-246857 |
Ericsson India Private Limited | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-247066 | Rel 19 pCR TR 28.858 ML-Knowledge-based Transfer Learning Evaluation |
pCR revision of S5-246914 |
Ericsson-LG Co., LTD, Nokia | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-247067 | Rel-19 pCR 28.858 Solution enhancement and evaluation for ML model in live network |
pCR revision of S5-246595 |
Samsung R&D Institute UK | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-247068 | Rel-19 pCR TR 28.858 Clarifications to the description and use case for ML model transfer or delivery |
pCR revision of S5-246484 |
Nokia, ZTE | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-247069 | Rel-19 pCR TR 28.858 Add solution and evaluation for AIML prediction latency |
pCR revision of S5-246493 |
Nokia | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-247085 | PCR TR 28.858 Correct Model Confidence Evaluation |
pCR revision of S5-246853 revised to S5-247331 |
Ericsson India Private Limited | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-247086 | R19 pCR TR 28.858 Add Evaluation on Management of Federated Learning |
pCR revision of S5-246729 |
ZTE Corporation | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-247087 | pCR TR 28.858 add clarifications on ML pre-training use case |
pCR revision of S5-246492 |
NEC, Intel | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-247088 | PCR TR 28.858 Correct model training for multiple contexts |
pCR revision of S5-246854 revised to S5-247329 |
Ericsson India Private Limited | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-247089 | Rel-19 pCR TR 28.858 Enhance solution and evaluation for management of RL |
pCR revision of S5-246490 |
Nokia | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-247090 | R19 pCR TR 28.858 Update the Reinforcement Learning Use Case |
pCR revision of S5-246730 revised to S5-247330 |
ZTE Corporation, Nokia, Huawei | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-247091 | Rel-19 pCR TR 28.858 add evaluation and conclusions for conflict management of reinforcement learning |
pCR revision of S5-246546 |
Huawei, Ericsson, Nokia | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-247092 | Rel-19 pCR TR 28.858 Add evaluation for sustainable AIML |
pCR revision of S5-246486 |
Nokia, ZTE, NTT DOCOMO, Ericsson | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-247093 | Rel-19 pCR TR 28.858 Enhance solution and add evaluation for ML explainability in training | pCR | Nokia, NTT DOCOMO | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
withdrawn | [WTS] [JSN] |
| S5-247094 | Rel-19 pCR TR 28.858 Add solution and evaluation for ML explainability in inference |
pCR revision of S5-246488 |
Nokia, NTT DOCOMO, , Huawei, Verizon | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-247095 | Rel-19 pCR TR 28.858 add the use case of Managing NWDAF inference function | pCR | Huawei, China Mobile, AsiaInfo, China Unicom, Deutsche Telekom, Telecom Italia | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
withdrawn | [WTS] [JSN] |
| S5-247096 | Rel-19 pCR TR 28.858 add use case of managing NG-RAN AIML-based Coverage and Capacity Optimization | pCR | Huawei, Ericsson, ZTE, Intel, AsiaInfo, CATT, China Unicom, Deutsche Telekom | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
withdrawn | [WTS] [JSN] |
| S5-247097 | Rel-19 pCR TR 28.858 add use case of managing NG-RAN AIML-based Network Slicing | pCR | Huawei, ZTE, Intel, AsiaInfo, CATT, China Unicom, Deutsche Telekom | 28.858 0.2.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
withdrawn | [WTS] [JSN] |
| S5-247098 | Rel-19 pCR TR 28.858 enhance the overview to support the NG-RAN and 5GC |
pCR revision of S5-246719 |
Huawei, Ericsson, Intel, ZTE, China Mobile, AsiaInfo, China Unicom, Deutsche Telekom, China Telecom Corporation, Telecom Italia, NEC | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-247315 | Rel-19 pCR TR 28.858 Add evaluation for remedial action management |
pCR revision of S5-246485 |
Nokia | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-247329 | PCR TR 28.858 Correct model training for multiple contexts |
pCR revision of S5-247088 |
Ericsson India Private Limited | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-247330 | R19 pCR TR 28.858 Update the Reinforcement Learning Use Case |
pCR revision of S5-247090 |
ZTE Corporation, Nokia, Huawei, Ericsson | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
approved | [WTS] [JSN] |
| S5-247331 | PCR TR 28.858 Correct Model Confidence Evaluation |
pCR revision of S5-247085 |
Ericsson India Private Limited | 28.858 0.3.0 | FS_AIML_MGT_Ph2 | Rel-19 |
S5-158 AI: 6.19.1 |
approved | [WTS] [JSN] |
87 documents (0.41225385665894 seconds)