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 |
|---|---|---|---|---|---|---|---|---|---|
| R1-2203142 | Evaluation on AI/ML for beam management | discussion | Huawei, HiSilicon | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
not treated | [WTS] [JSN] | |
| R1-2203250 | Evaluation assumptions on AI/ML for beam management | discussion | ZTE | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
noted | [WTS] [JSN] | |
| R1-2203255 | Model and data-driven beam predictions in high-speed railway scenarios | discussion | PML | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
not treated | [WTS] [JSN] | |
| R1-2203283 | Evaluations on AI-BM | discussion | Ericsson | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
not treated | [WTS] [JSN] | |
| R1-2203374 | Discussion for evaluation on AI/ML for beam management | discussion | InterDigital, Inc. | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
not treated | [WTS] [JSN] | |
| R1-2203453 | Discussion on evaluation on AI/ML for beam management | discussion | CATT | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
not treated | [WTS] [JSN] | |
| R1-2203552 | Evaluation on AI/ML for beam management | discussion | vivo | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
not treated | [WTS] [JSN] | |
| R1-2203810 | Evaluation on AI/ML for beam management | discussion | xiaomi | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
not treated | [WTS] [JSN] | |
| R1-2203899 | Evaluation on AI ML for Beam management | discussion | Samsung | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
not treated | [WTS] [JSN] | |
| R1-2204017 | Evaluation methodology and preliminary results on AI/ML for beam management | discussion | OPPO | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
not treated | [WTS] [JSN] | |
| R1-2204059 | Evaluation methodology of beam management with AI/ML | discussion | Beijing Jiaotong University | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
not treated | [WTS] [JSN] | |
| R1-2204102 | Discussion on evaluation of AI/ML for beam management use case | other | FUTUREWEI | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
not treated | [WTS] [JSN] | |
| R1-2204151 | Evaluation on AI/ML for beam management | discussion | LG Electronics | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
not treated | [WTS] [JSN] | |
| R1-2204182 | Some discussions on evaluation on AI-ML for Beam management | discussion | CAICT | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
not treated | [WTS] [JSN] | |
| R1-2204240 | Evaluation on AI based Beam Management | discussion | Apple | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
not treated | [WTS] [JSN] | |
| R1-2204297 | Discussion on evaluation on AI/ML for beam management | discussion | CMCC | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
not treated | [WTS] [JSN] | |
| R1-2204377 | Discussion on evaluation on AI/ML for beam management | discussion | NTT DOCOMO, INC. | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
noted | [WTS] [JSN] | |
| R1-2204419 | Evaluation on AI/ML for beam management | discussion | Lenovo | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
not treated | [WTS] [JSN] | |
| R1-2204573 | Evaluation on ML for beam management | discussion | Nokia, Nokia Shanghai Bell | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
not treated | [WTS] [JSN] | |
| R1-2204795 | Evaluation for beam management | discussion | Intel Corporation | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
not treated | [WTS] [JSN] | |
| R1-2204842 | On evaluation assumptions of AI and ML for beam management | discussion | NVIDIA | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
not treated | [WTS] [JSN] | |
| R1-2204862 | Evaluation methodology aspects on AI/ML for beam management | discussion | AT&T | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
not treated | [WTS] [JSN] | |
| R1-2205026 | Evaluation on AIML for beam management | discussion | Qualcomm Incorporated | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
not treated | [WTS] [JSN] | |
| R1-2205078 | Evaluation on AI/ML for beam management | discussion | Fujitsu Limited | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
not treated | [WTS] [JSN] | |
| R1-2205102 | AI-assisted Target Cell Prediction for Inter-cell Beam Management | discussion | MediaTek Inc. | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
not treated | [WTS] [JSN] | |
| R1-2205269 | Feature lead summary #1 evaluation of AI/ML for beam management | discussion | Moderator (Samsung) | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
noted | [WTS] [JSN] | |
| R1-2205270 | Feature lead summary #2 evaluation of AI/ML for beam management |
discussion revised to R1-2205271 |
Moderator (Samsung) | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
revised | [WTS] [JSN] | |
| R1-2205271 | Feature lead summary #3 evaluation of AI/ML for beam management |
discussion revision of R1-2205270 revised to R1-2205641 |
Moderator (Samsung) | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
revised | [WTS] [JSN] | |
| R1-2205641 | Feature lead summary #4 evaluation of AI/ML for beam management |
discussion revision of R1-2205271 |
Moderator (Samsung) | FS_NR_AIML_Air | Rel-18 |
R1-109-e AI: 9.2.3.1 |
noted | [WTS] [JSN] |
29 documents (0.31912207603455 seconds)