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".
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| tdoc | Title | Type / Revs | Source | Spec / CR | S/WID | Release | Meeting | Status | Links |
|---|---|---|---|---|---|---|---|---|---|
| S5-241224 | draftCR TR 28.908 add new separate clause for Rel-19 use cases | draftCR | NEC, Intel | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
noted | [WTS] [JSN] | |
| S5-241295 | Rel-19 pCR TR28.908 Assurance of AIML data quality | draftCR | Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
not treated | [WTS] [JSN] | |
| S5-241296 | Rel-19 pCR TR28.908 Relating MLentity to supported usecases | draftCR | Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
not treated | [WTS] [JSN] | |
| S5-241297 | Rel-19 pCR TR28.908 ML training feasibility check | draftCR | Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
not treated | [WTS] [JSN] | |
| S5-241298 | Rel-19 pCR TR28.908 AIML synthetic Data |
draftCR revised to S5-242139 |
Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
revised | [WTS] [JSN] | |
| S5-241299 | Rel-19 pCR TR28.908 Use case on Timely AIML inference | draftCR | Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
not treated | [WTS] [JSN] | |
| S5-241300 | Rel-19 pCR TR28.908 Add conclusions | draftCR | Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
not treated | [WTS] [JSN] | |
| S5-241301 | Rel-19 pCR TR28.908 AIML energy consumption metric | draftCR | Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
merged | [WTS] [JSN] | |
| S5-241302 | Rel-19 pCR TR28.908 AIML energy consumption dependencies | draftCR | Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
not treated | [WTS] [JSN] | |
| S5-241303 | Rel-19 pCR TR28.908 AIML net energy saving |
draftCR revised to S5-242140 |
Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
revised | [WTS] [JSN] | |
| S5-241304 | Rel-19 pCR TR28.908 EfficientReTraining | draftCR | Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
not treated | [WTS] [JSN] | |
| S5-241305 | Rel-19 pCR TR28.908 clusters for ML joint training | draftCR | Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
not treated | [WTS] [JSN] | |
| S5-241345 | Rel-19 pCR TR 28.908 Federated Learning Training initiation | draftCR | Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
merged | [WTS] [JSN] | |
| S5-241346 | Rel-19 pCR TR 28.908 Training Data Statistical Properties |
draftCR revised to S5-242097 |
Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
revised | [WTS] [JSN] | |
| S5-241492 | Add use case for management of Federated Learning |
CR revised to S5-242143 |
Intel | 28.908 18.0.0 CR#1 catB | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-241662 | Add use case of AI emulation for TR 28.908 | CR | China Mobile | 28.908 18.0.0 CR#2 catB | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
not treated | [WTS] [JSN] |
| S5-241663 | Add use case of performance monitoring for TR 28.908 | CR | China Mobile | 28.908 18.0.0 CR#3 catB | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
not treated | [WTS] [JSN] |
| S5-241664 | Add use case of FL for TR 28.908 | CR | China Mobile | 28.908 18.0.0 CR#4 catB | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
merged | [WTS] [JSN] |
| S5-241667 | Rel-19 pCR TR 28.908 Add use case on ML entity distributed training | draftCR | CATT | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
noted | [WTS] [JSN] | |
| S5-241691 | R19 pCR TR 28.908 Add new requirements for evaluation of energy consumption and energy efficiency impacts associated with AIML solutions | draftCR | China Unicom | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
merged | [WTS] [JSN] | |
| S5-241713 | Rel-19 DP Alignment of AIML terminology with other 3GPP groups | discussion | Huawei | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
noted | [WTS] [JSN] | |
| S5-241714 | Rel-19 CR TR 28.908 add the relation between ML model and ML entity | CR | Huawei | 28.908 18.0.0 CR#5 catB | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
not pursued | [WTS] [JSN] |
| S5-241739 | Rel-19 DP on impact from Generative AI capability | discussion | China Mobile Group Device Co. | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
not treated | [WTS] [JSN] | |
| S5-241740 | Rel-19 pCR TR 28.908 Confidence Threshold | draftCR | Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
not treated | [WTS] [JSN] | |
| S5-241741 | Rel-19 CR to TR 28.908 Add use cases on ML pre-training |
CR revised to S5-242144 |
China Mobile Group Device Co. | 28.908 18.0.0 CR#6 catB | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-241763 | Rel-19 CR to TR 28.908 Add use cases on ML fine-tuning |
CR revised to S5-242145 |
China Mobile Group Device Co. | 28.908 18.0.0 CR#7 catB | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
revised | [WTS] [JSN] |
| S5-241783 | Rel-19 pCR TR 28.908 add use case, requirements and solution for FL Server Determination and FL Client Selection | draftCR | ZTE Corporation | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
merged | [WTS] [JSN] | |
| S5-241784 | Rel-19 pCR TR 28.908 add use case, requirements and solution for energy consumption control |
draftCR revised to S5-242141 |
ZTE Corporation | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
revised | [WTS] [JSN] | |
| S5-241785 | Rel-19 pCR TR 28.908 add use case, requirements and solution for model complexity |
draftCR revised to S5-242142 |
ZTE Corporation | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
revised | [WTS] [JSN] | |
| S5-241960 | Report from breakout session on AI/ML | report | SA5 Vice-Chair (Nokia) | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
noted | [WTS] [JSN] | |
| S5-242060 | DP on Study on Artificial Intelligence / Machine Learning (AI/ML) Lifecycle Management (LCM) Phase 2 | discussion | NEC | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
endorsed | [WTS] [JSN] | |
| S5-242097 | Rel-19 pCR TR 28.908 Training Data Statistical Properties |
draftCR revision of S5-241346 |
Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
noted | [WTS] [JSN] | |
| S5-242139 | Rel-19 pCR TR28.9xx AIML synthetic Data |
other revision of S5-241298 |
Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
noted | [WTS] [JSN] | |
| S5-242140 | Rel-19 pCR TR28.9xx AIML net energy saving |
other revision of S5-241303 |
Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
noted | [WTS] [JSN] | |
| S5-242141 | Rel-19 draftCR TR 28.908 add use case, requirements and solution for energy consumption control |
draftCR revision of S5-241784 revised to S5-242357 |
ZTE Corporation | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
noted | [WTS] [JSN] | |
| S5-242142 | Rel-19 pCR TR 28.908 add use case, requirements and solution for model complexity |
draftCR revision of S5-241785 |
ZTE Corporation | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
noted | [WTS] [JSN] | |
| S5-242143 | Add use case for management of Federated Learning |
CR revision of S5-241492 |
Intel | 28.908 18.0.0 CR#11 catB | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
not pursued | [WTS] [JSN] |
| S5-242144 | Rel-19 CR to TR 28.908 Add use cases on ML pre-training |
CR revision of S5-241741 |
China Mobile, Ericsson, Intel, NEC, CATT, Nokia, ZTE, HUAWEI | 28.908 18.0.0 CR#61 catB | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
not pursued | [WTS] [JSN] |
| S5-242145 | Rel-19 CR to TR 28.908 Add use cases on ML fine-tuning |
CR revision of S5-241763 |
China Mobile, Ericsson, Intel, NEC, CATT, Nokia, ZTE, HUAWEI | 28.908 18.0.0 CR#71 catB | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
not pursued | [WTS] [JSN] |
| S5-242150 | Rel-19 pCR TR28.9xx R19 Study usecases for continuation from 28.908 | other | Nokia, Ericsson, Intel, NEC | FS_AIML_MGT_Ph2 | Rel-19 |
S5-154 AI: 6.19.1 |
approved | [WTS] [JSN] |
40 documents (0.31423211097717 seconds)