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 |
|---|---|---|---|---|---|---|---|---|---|
| S5-252355 | Input to draftCR TS28.105 AIML emulation environment |
other revised to S5-252994 |
Nokia | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-252386 | Input to draftCR Rel19 TS 28.105 Use case on model confidence requirement |
other revised to S5-252986 |
Nokia, Nokia Shanghai Bell | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-252387 | Input to draftCR Rel19 TS 28.105 Solution on model confidence requirement | other | Nokia, Nokia Shanghai Bell | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
noted | [WTS] [JSN] | |
| S5-252388 | Input to draftCR Rel19 TS 28.105 Use case and solution on sustainable AIML Inference |
other revised to S5-252995 |
Nokia, Nokia Shanghai Bell | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-252389 | Input to draftCR Rel19 TS 28.105 Use case and solution on sustainable AIML training |
other revised to S5-252829 |
Nokia, Nokia Shanghai Bell | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-252390 | Input to DraftCR Rel19 TS28.105 New use case on Coordination between the ML capabilities |
other revised to S5-252999 |
Nokia, Nokia Shanghai Bell, China mobile, TELUS | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-252422 | Input to draftCR Rel-19 TS 28.105 add use case on AIML prediction latency in training |
other revised to S5-252835 |
China Mobile, Nokia, Nokia Shanghai Bell | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-252423 | Input to draftCR Rel-19 TS 28.105 add use case on AIML prediction latency in inference | other | China Mobile, Nokia, Nokia Shanghai Bell | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
not treated | [WTS] [JSN] | |
| S5-252424 | Input to draftCR Rel-19 TS 28.105 add use case for Management of explanation in AIML training |
other revised to S5-252830 |
China Mobile, Nokia, Nokia Shanghai Bell, Huawei | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-252425 | Input to draftCR Rel-19 TS 28.105 add solution for Management of explanation in AIML training |
other revised to S5-252831 |
China Mobile, Nokia, Nokia Shanghai Bell | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-252426 | Input to draftCR Rel-19 TS 28.105 add solution for AIML prediction latency in training | other | China Mobile, Nokia, Nokia Shanghai Bell | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
not treated | [WTS] [JSN] | |
| S5-252427 | Input to draftCR Rel-19 TS 28.105 add solution for AIML prediction latency in inference | other | China Mobile, Nokia, Nokia Shanghai Bell | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
not treated | [WTS] [JSN] | |
| S5-252431 | Input to DraftCR Rel-19 TS 28.105 Enhancement on AIMLSupportedFunction to support inference in LMF |
other revised to S5-252988 |
ZTE Corporation | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-252432 | Rel-19 CR TS 28.541 Enhancement on LMF NRM to Support the Inference Functionality in LMF |
CR revised to S5-252989 |
ZTE Corporation | 28.541 19.3.0 CR#1538 catB | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] |
| S5-252441 | Input to DraftCR Rel-19 TS 28.105 Add Management Scenario for RL | other | ZTE Corporation | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
not treated | [WTS] [JSN] | |
| S5-252458 | Input to draftCR TS 28.105 Add NRMs on LCM for Federated Learning |
other revised to S5-252832 |
Intel, NEC, ZTE, Samsung, Nokia | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] | ||
| S5-252459 | Input to draftCR TS 28.105 Enhance UC for management of Reinforcement Learning |
other revised to S5-252833 |
Intel, NEC | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] | ||
| S5-252460 | Input to draftCR TS 28.105 Add NRMs on LCM for Reinforcement Learning | other | Intel, ZTE, NEC | Rel-19 |
S5-161 AI: 6.19.1.1 |
merged | [WTS] [JSN] | ||
| S5-252463 | Rel-19 InputToDraftCR TS 28.105 add procedure of management of AIML capabilities for NG-RAN and MDA |
CR revised to S5-252523 |
Huawei | 28.105 19.2.0 CR#282 catB | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] |
| S5-252464 | Rel-19 InputToDraftCR TS 28.105 add solution for exploration in reinforcement learning |
CR revised to S5-252524 |
Huawei | 28.105 19.2.0 CR#283 catB | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] |
| S5-252465 | Rel-19 InputToDraftCR TS 28.105 add use case for Management of explanation in AIML inference |
CR revised to S5-252525 |
Huawei | 28.105 19.2.0 CR#284 catB | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] |
| S5-252466 | Rel-19 InputToDraftCR TS 28.105 add solution for Management of explanation in AIML inference |
CR revised to S5-252526 |
Huawei | 28.105 19.2.0 CR#285 catB | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] |
| S5-252467 | Rel-19 InputToDraftCR TS 28.105 enhance the description for managing AIML based capabilities |
CR revised to S5-252527 |
Huawei | 28.105 19.2.0 CR#286 catF | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] |
| S5-252468 | Rel-19 InputToDraftCR TS 28.105 update the ML model lifecycle management capabilities |
CR revised to S5-252528 |
Huawei | 28.105 19.2.0 CR#287 catF | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] |
| S5-252523 | Input to draftCR TS 28.105 for add procedure of management of AIML capabilities for NG-RAN and MDA |
other revision of S5-252463 |
Huawei | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
not treated | [WTS] [JSN] | |
| S5-252524 | Input to draftCR TS 28.105 for add solution for exploration in reinforcement learning |
other revision of S5-252464 revised to S5-252834 |
Huawei, Samsung | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-252525 | Input to draftCR TS 28.105 for add use case for Management of explanation in AIML inference |
other revision of S5-252465 revised to S5-252996 |
Huawei, Orange, CMCC, Nokia, Verizon, NTT DOCOMO, Deutsche Telekom | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-252526 | Input to draftCR TS 28.105 for add solution for Management of explanation in AIML inference |
other revision of S5-252466 revised to S5-252997 |
Huawei, Orange, Deutsche Telekom | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-252527 | Input to draftCR TS 28.105 for enhance the description for managing AIML based capabilities |
other revision of S5-252467 |
Huawei | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
not treated | [WTS] [JSN] | |
| S5-252528 | Input to draftCR TS 28.105 for update the ML model lifecycle management capabilities |
other revision of S5-252468 |
Huawei | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
not treated | [WTS] [JSN] | |
| S5-252556 | Input to draftCR TS 28.105 Pre-specialised training and Fine-tuning use cases |
other revised to S5-252828 |
NEC, Intel, China Mobile, ZTE, Huawei | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-252557 | DraftCR Rel-19 TS 28.105 AIML management – phase 2 | draftCR | NEC, Intel | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
approved | [WTS] [JSN] | |
| S5-252559 | Input to DraftCR Rel-19 TS 28.105 Add Procedure for ML Model Training | other | ZTE Corporation | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
noted | [WTS] [JSN] | |
| S5-252560 | Input to DraftCR Rel-19 TS 28.105 Update on the use case of managing ML models in use in a live network |
other revised to S5-252998 |
ZTE Corporation | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-252561 | DP on the NRM Design for AIMLInferenceFunction | discussion | ZTE Corporation | AIML_MGT_Ph2 |
S5-161 AI: 6.19.1.1 |
not treated | [WTS] [JSN] | ||
| S5-252562 | Input to DraftCR Rel-19 TS 28.105 Enhancement on AIMLInferenceFunction NRM | other | ZTE Corporation | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
not treated | [WTS] [JSN] | |
| S5-252563 | Input to DraftCR Rel-19 TS 28.105 Add Procedure Diagram for FL Server selection and determination | other | ZTE Corporation, NEC, Intel | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
noted | [WTS] [JSN] | |
| S5-252568 | Rel-19 Input to draftCR TS 28.105 Add addtional attributes on distributed training |
other revised to S5-252836 |
CATT | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-252572 | Rel-19 Input to Draft CR TS 28.105 Pre-specialised training and Fine-tuning | other | China Mobile, ZTE | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
merged | [WTS] [JSN] | |
| S5-252573 | Rel-19 Input to draftCR TS 28.105 Pre-specialised training and Fine-tuning NRM |
other revised to S5-253019 |
China Mobile, ZTE, NEC, Intel, Huawei | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-252648 | Input to DraftCR Rel-19 TS 28.105 Fix wrong reference and add RRC report | other | Ericsson España S.A. | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
approved | [WTS] [JSN] | |
| S5-252649 | DP on use cases of Pre-training and Fine tuning | discussion | Ericsson España S.A. | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
noted | [WTS] [JSN] | |
| S5-252688 | Rel-19 Input to draftCR TS 28.105 add note for ML model lifecycle |
other revised to S5-253000 |
China Mobile | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-252689 | Rel-19 Input to draftCR TS 28.105 corrections of ML-Knowledge-based Transfer Learning |
other revised to S5-252837 |
China Mobile | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-252733 | Rel-19 InputToDraftCR TS 28.105 Add solution for ML model training for multiple contexts | CR | Samsung Electronics France SA | 28.105 19.2.0 CR#288 catB | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
not pursued | [WTS] [JSN] |
| S5-252735 | Rel-19 InputToDraftCR TS 28.105 Add solution for management of Federated Learning | CR | Samsung Electronics France SA | 28.105 19.2.0 CR#289 catB | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
merged | [WTS] [JSN] |
| S5-252818 | DraftCR TS28.105 | draftCR | NEC | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
available | [WTS] [JSN] | |
| S5-252828 | Input to draftCR TS 28.105 Pre-specialised training and Fine-tuning use cases |
other revision of S5-252556 |
NEC, Intel, China Mobile, ZTE, Huawei | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
approved | [WTS] [JSN] | |
| S5-252829 | Input to draftCR Rel19 TS 28.105 Use case and solution on sustainable AIML training |
other revision of S5-252389 |
Nokia, Nokia Shanghai Bell | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
noted | [WTS] [JSN] | |
| S5-252830 | Input to draftCR Rel-19 TS 28.105 add use case for Management of explanation in AIML training |
other revision of S5-252424 |
China Mobile, Nokia, Nokia Shanghai Bell, Huawei | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
noted | [WTS] [JSN] | |
| S5-252831 | Input to draftCR Rel-19 TS 28.105 add solution for Management of explanation in AIML training |
other revision of S5-252425 |
China Mobile, Nokia, Nokia Shanghai Bell | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
noted | [WTS] [JSN] | |
| S5-252832 | Input to draftCR TS 28.105 Add NRMs on LCM for Federated Learning |
other revision of S5-252458 |
Intel, NEC, ZTE, Samsung, Nokia | Rel-19 |
S5-161 AI: 6.19.1.1 |
noted | [WTS] [JSN] | ||
| S5-252833 | Input to draftCR TS 28.105 Enhance UC for management of Reinforcement Learning |
other revision of S5-252459 revised to S5-253092 |
Intel, NEC | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] | ||
| S5-252834 | Input to draftCR TS 28.105 for add solution for exploration in reinforcement learning |
other revision of S5-252524 revised to S5-253107 |
Huawei,Samsung,NEC,Nokia,ZTE | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-252835 | Input to draftCR Rel-19 TS 28.105 add use case on AIML prediction latency in training |
other revision of S5-252422 |
China Mobile, Nokia, Nokia Shanghai Bell | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
noted | [WTS] [JSN] | |
| S5-252836 | Rel-19 Input to draftCR TS 28.105 Add addtional attributes on distributed training |
other revision of S5-252568 |
CATT | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
approved | [WTS] [JSN] | |
| S5-252837 | Rel-19 Input to draftCR TS 28.105 corrections of ML-Knowledge-based Transfer Learning |
other revision of S5-252689 revised to S5-253106 |
China Mobile | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-252986 | Input to draftCR Rel19 TS 28.105 Use case on model confidence requirement |
other revision of S5-252386 |
Nokia, Nokia Shanghai Bell | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
noted | [WTS] [JSN] | |
| S5-252987 | Rel-19 InputToDraftCR TS 28.105 Add solution for ML model training for multiple contexts | other | Samsung Electronics France SA | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
approved | [WTS] [JSN] | |
| S5-252988 | Input to DraftCR Rel-19 TS 28.105 Enhancement on AIMLSupportedFunction to support inference in LMF |
other revision of S5-252431 |
ZTE Corporation, Ericsson | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
approved | [WTS] [JSN] | |
| S5-252989 | Rel-19 CR TS 28.541 Enhancement on LMF NRM to Support the Inference Functionality in LMF |
CR revision of S5-252432 revised to S5-253090 |
ZTE Corporation, Ericsson | 28.541 19.3.0 CR#15381 catB | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] |
| S5-252993 | Input to DraftCR Rel-19 TS 28.105 Add Procedure Diagram for FL Server selection and determination | other | ZTE Corporation, NEC, Intel | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
withdrawn | [WTS] [JSN] | |
| S5-252994 | Input to draftCR TS28.105 AIML emulation environment |
other revision of S5-252355 |
Nokia | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
noted | [WTS] [JSN] | |
| S5-252995 | Input to draftCR Rel19 TS 28.105 Use case and solution on sustainable AIML Inference |
other revision of S5-252388 |
Nokia, Nokia Shanghai Bell | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
noted | [WTS] [JSN] | |
| S5-252996 | Input to draftCR TS 28.105 for add use case for Management of explanation in AIML inference |
other revision of S5-252525 |
HUAWEI, Orange, CMCC, Nokia, Verizon, NTT DOCOMO, Deutsche Telekom, Ericsson, NEC | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
approved | [WTS] [JSN] | |
| S5-252997 | Input to draftCR TS 28.105 for add solution for Management of explanation in AIML inference |
other revision of S5-252526 |
HUAWEI, Orange, Deutsche Telekom, Ericsson,Nokia,Nokia Shanghai Bell | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
approved | [WTS] [JSN] | |
| S5-252998 | Input to DraftCR Rel-19 TS 28.105 Update on the use case of managing ML models in use in a live network |
other revision of S5-252560 revised to S5-253104 |
ZTE Corporation | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-252999 | Input to DraftCR Rel19 TS28.105 New use case on Coordination between the ML capabilities |
other revision of S5-252390 |
Nokia, Nokia Shanghai Bell, China mobile, TELUS | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
noted | [WTS] [JSN] | |
| S5-253000 | Rel-19 Input to draftCR TS 28.105 add note for ML model lifecycle |
other revision of S5-252688 |
China Mobile, ZTE | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
approved | [WTS] [JSN] | |
| S5-253019 | Rel-19 Input to draftCR TS 28.105 Pre-specialised training and Fine-tuning NRM |
other revision of S5-252573 |
China Mobile, ZTE, NEC, Intel, Huawei, Rakuten, DTAG, China Unicom, Verizon | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
approved | [WTS] [JSN] | |
| S5-253090 | Rel-19 CR TS 28.541 Enhancement on LMF NRM to Support the Inference Functionality in LMF |
CR revision of S5-252989 |
ZTE Corporation | 28.541 19.3.0 CR#15382 catB | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
agreed | [WTS] [JSN] |
| S5-253092 | Input to draftCR TS 28.105 Enhance UC for management of Reinforcement Learning |
other revision of S5-252833 |
Intel, NEC | Rel-19 |
S5-161 AI: 6.19.1.1 |
approved | [WTS] [JSN] | ||
| S5-253104 | Input to DraftCR Rel-19 TS 28.105 Update on the use case of managing ML models in use in a live network |
other revision of S5-252998 |
ZTE Corporation | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
approved | [WTS] [JSN] | |
| S5-253106 | Rel-19 Input to draftCR TS 28.105 corrections of ML-Knowledge-based Transfer Learning |
other revision of S5-252837 |
China Mobile | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
approved | [WTS] [JSN] | |
| S5-253107 | Input to draftCR TS 28.105 for add solution for exploration in reinforcement learning |
other revision of S5-252834 |
Huawei,Samsung,NEC,Nokia,ZTE | AIML_MGT_Ph2 | Rel-19 |
S5-161 AI: 6.19.1.1 |
approved | [WTS] [JSN] |
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