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 |
|---|---|---|---|---|---|---|---|---|---|
| R2-2508057 | Discussion on RRM measurement prediction | discussion | Xiaomi |
R2-132 AI: 9.3.2 |
available | [WTS] [JSN] | |||
| R2-2508062 | Discussion on RRM measurement prediction | discussion | vivo | NR_AIML_Mob-Core | Rel-20 |
R2-132 AI: 9.3.2 |
available | [WTS] [JSN] | |
| R2-2508095 | Discussion on RRM measurement prediction | discussion | NTT DOCOMO, INC. |
R2-132 AI: 9.3.2 |
available | [WTS] [JSN] | |||
| R2-2508101 | Functionality management for RRM measurement prediction | discussion | CATT, Turkcell | NR_AIML_Mob | Rel-20 |
R2-132 AI: 9.3.2 |
available | [WTS] [JSN] | |
| R2-2508181 | RRM measurement prediction | discussion | LG Electronics Inc. | NR_AIML_Mob | Rel-20 |
R2-132 AI: 9.3.2 |
available | [WTS] [JSN] | |
| R2-2508212 | Discussion on functionality management for RRM measurement prediction | discussion | OPPO | NR_AIML_Mob-Core | Rel-20 |
R2-132 AI: 9.3.2 |
noted | [WTS] [JSN] | |
| R2-2508228 | Discussion on RRM measurement prediction | discussion | Transsion Holdings |
R2-132 AI: 9.3.2 |
available | [WTS] [JSN] | |||
| R2-2508245 | Discussion on UE-side RRM measurement prediction | discussion | NEC | NR_AIML_Mob | Rel-20 |
R2-132 AI: 9.3.2 |
available | [WTS] [JSN] | |
| R2-2508266 | Discussion on RRM measurement prediction | discussion | Fujitsu | NR_AIML_Mob | Rel-20 |
R2-132 AI: 9.3.2 |
available | [WTS] [JSN] | |
| R2-2508336 | RRM measurement prediction | discussion | Lenovo |
R2-132 AI: 9.3.2 |
available | [WTS] [JSN] | |||
| R2-2508371 | Measurement prediction | discussion | Apple | NR_AIML_Mob | Rel-20 |
R2-132 AI: 9.3.2 |
noted | [WTS] [JSN] | |
| R2-2508417 | Discussion on RRM measurement prediction | discussion | ZTE Corporation | NR_AIML_Mob | Rel-20 |
R2-132 AI: 9.3.2 |
noted | [WTS] [JSN] | |
| R2-2508420 | Discussion on RRM measurement prediction | discussion | Tejas Network Limited |
R2-132 AI: 9.3.2 |
available | [WTS] [JSN] | |||
| R2-2508426 | Discussion on RRM measurement prediction | discussion | Samsung | NR_AIML_Mob-Core | Rel-19 |
R2-132 AI: 9.3.2 |
available | [WTS] [JSN] | |
| R2-2508479 | Measurement gap relaxation | discussion | Fraunhofer IIS, Fraunhofer HHI |
R2-132 AI: 9.3.2 |
available | [WTS] [JSN] | |||
| R2-2508496 | LCM for RRM measurement prediction | discussion | China Telecom | NR_AIML_Mob | Rel-20 |
R2-132 AI: 9.3.2 |
available | [WTS] [JSN] | |
| R2-2508532 | Functionality management for RRM measurement prediction | discussion | TURKCELL, CATT | Rel-20 |
R2-132 AI: 9.3.2 |
available | [WTS] [JSN] | ||
| R2-2508552 | RRM measurement prediction for UE-side models | discussion | Qualcomm Incorporated | NR_AIML_Mob | Rel-20 |
R2-132 AI: 9.3.2 |
noted | [WTS] [JSN] | |
| R2-2508580 | Discussion on LCM for RRM prediction and event prediction | discussion | MediaTek Inc. |
R2-132 AI: 9.3.2 |
noted | [WTS] [JSN] | |||
| R2-2508601 | Discussion on RRM measurement prediction | discussion | HONOR | NR_AIML_Mob | Rel-20 |
R2-132 AI: 9.3.2 |
available | [WTS] [JSN] | |
| R2-2508701 | Discussion on RRM measurement prediction | discussion | Huawei, HiSilicon | NR_AIML_Mob | Rel-20 |
R2-132 AI: 9.3.2 |
available | [WTS] [JSN] | |
| R2-2508707 | Functionality management for UE sided model for RRM measurement prediction | discussion | InterDigital Pennsylvania | Rel-20 |
R2-132 AI: 9.3.2 |
available | [WTS] [JSN] | ||
| R2-2508744 | Discussion on RRM Measurement Prediction | discussion | Ericsson | NR_AIML_Mob | Rel-20 |
R2-132 AI: 9.3.2 |
available | [WTS] [JSN] | |
| R2-2508817 | Discussion on RRM Measurement Prediction Functionality Management | discussion | Sharp |
R2-132 AI: 9.3.2 |
available | [WTS] [JSN] | |||
| R2-2508818 | Discussion on RRM Measurement Inference Reporting Configuration | discussion | Sharp |
R2-132 AI: 9.3.2 |
available | [WTS] [JSN] | |||
| R2-2508842 | Discussion on UE sided RRM measurement prediction | discussion | CMCC | NR_AIML_Mob | Rel-20 |
R2-132 AI: 9.3.2 |
available | [WTS] [JSN] | |
| R2-2508931 | Discussion on LCM for RRM prediction | discussion | Spreadtrum, UNISOC | Rel-20 |
R2-132 AI: 9.3.2 |
available | [WTS] [JSN] | ||
| R2-2508958 | Discussion on RRM prediction | discussion | ASUSTeK | NR_AIML_Mob | Rel-19 |
R2-132 AI: 9.3.2 |
available | [WTS] [JSN] | |
| R2-2508981 | Discussion on RRM measurement prediction | discussion | KDDI Corporation | Rel-20 |
R2-132 AI: 9.3.2 |
available | [WTS] [JSN] | ||
| R2-2508982 | Discussion on inference configuration and report for RRM measurement prediction for UE sided model | discussion | KT Corp. | NR_AIML_Mob |
R2-132 AI: 9.3.2 |
available | [WTS] [JSN] | ||
| R2-2509015 | Discussion on functionality management for RRM measurement prediction | discussion | BYD |
R2-132 AI: 9.3.2 |
available | [WTS] [JSN] | |||
| R2-2509060 | On RRM measurement prediction | discussion | Nokia, Nokia Shanghai Bell | Rel-20 |
R2-132 AI: 9.3.2 |
available | [WTS] [JSN] |
32 documents (0.36771011352539 seconds)