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 |
---|---|---|---|---|---|---|---|---|---|
R2-2402168 | Discussion on RRM measurement prediction | discussion | OPPO | FS_NR_AIML_Mob | Rel-19 |
R2-125-bis AI: 8.3.2 |
available | [WTS] [JSN] | |
R2-2402250 | AI/ML RRM measurement prediction | discussion | TCL | Rel-19 |
R2-125-bis AI: 8.3.2 |
available | [WTS] [JSN] | ||
R2-2402275 | Discussion on RRM measurement predicton | discussion | Fujitsu | FS_NR_AIML_Mob | Rel-19 |
R2-125-bis AI: 8.3.2 |
available | [WTS] [JSN] | |
R2-2402285 | Evaluation on Measurement Gap Reduction with AI Prediction | discussion | MediaTek Inc. | FS_NR_AIML_Mob | Rel-19 |
R2-125-bis AI: 8.3.2 |
noted | [WTS] [JSN] | |
R2-2402296 | Evaluation on AI/ML in Spatial/Temporal Prediction for RRM Measurement | discussion | MediaTek Inc. | FS_NR_AIML_Mob | Rel-19 |
R2-125-bis AI: 8.3.2 |
available | [WTS] [JSN] | |
R2-2402303 | Consideration on RRM measurement prediction |
discussion revised to R2-2403670 |
CATT | FS_NR_AIML_Mob | Rel-19 |
R2-125-bis AI: 8.3.2 |
revised | [WTS] [JSN] | |
R2-2402315 | Artificial Intelligence/Machine Learning for mobility in NR | discussion | BJTU |
R2-125-bis AI: 8.3.2 |
available | [WTS] [JSN] | |||
R2-2402343 | Discussion on RRM measurement prediction | discussion | Spreadtrum Communications | Rel-19 |
R2-125-bis AI: 8.3.2 |
available | [WTS] [JSN] | ||
R2-2402403 | Areas of interest for RRM measurement prediction | discussion | Intel Corporation | FS_NR_AIML_Mob | Rel-19 |
R2-125-bis AI: 8.3.2 |
noted | [WTS] [JSN] | |
R2-2402410 | RRM measurement prediction | discussion | Qualcomm Incorporated | Rel-19 |
R2-125-bis AI: 8.3.2 |
available | [WTS] [JSN] | ||
R2-2402516 | Discussion on AI/ML based RRM measurement prediction in NR | discussion | China Telecom | Rel-19 |
R2-125-bis AI: 8.3.2 |
available | [WTS] [JSN] | ||
R2-2402552 | Initial consideration on RRM measurement prediction | discussion | CMCC | FS_NR_AIML_Mob | Rel-19 |
R2-125-bis AI: 8.3.2 |
noted | [WTS] [JSN] | |
R2-2402559 | Discussion on RRM measurement prediction | discussion | vivo | FS_NR_AIML_Mob | Rel-19 |
R2-125-bis AI: 8.3.2 |
noted | [WTS] [JSN] | |
R2-2402589 | Discussion on RRM measurement prediction | discussion | Samsung | FS_NR_AIML_Mob | Rel-19 |
R2-125-bis AI: 8.3.2 |
available | [WTS] [JSN] | |
R2-2402595 | Discussion on AI based RRM measurement prediction | discussion | NEC | FS_NR_AIML_Mob | Rel-19 |
R2-125-bis AI: 8.3.2 |
available | [WTS] [JSN] | |
R2-2402687 | Discussion on AI aided RRM measurement prediction | discussion | HONOR | FS_NR_AIML_Mob | Rel-19 |
R2-125-bis AI: 8.3.2 |
available | [WTS] [JSN] | |
R2-2402733 | Consideration on types of RRM measurement prediction | discussion | Lenovo | Rel-19 |
R2-125-bis AI: 8.3.2 |
available | [WTS] [JSN] | ||
R2-2402748 | Discussion on RRM measurement prediction | discussion | ZTE Corporation | FS_NR_AIML_Mob | Rel-19 |
R2-125-bis AI: 8.3.2 |
noted | [WTS] [JSN] | |
R2-2403109 | Discussion on RRM measurement prediction | discussion | Huawei, HiSilicon | FS_NR_AIML_Mob | Rel-19 |
R2-125-bis AI: 8.3.2 |
available | [WTS] [JSN] | |
R2-2403124 | RRM measurement prediction | discussion | Fraunhofer HHI, Fraunhofer IIS |
R2-125-bis AI: 8.3.2 |
available | [WTS] [JSN] | |||
R2-2403254 | AI/ML based RRM measurement predictions | discussion | Ericsson | FS_NR_AIML_Mob | Rel-19 |
R2-125-bis AI: 8.3.2 |
available | [WTS] [JSN] | |
R2-2403281 | On the measurement prediction use-case | discussion | Nokia | FS_NR_AIML_Mob | Rel-19 |
R2-125-bis AI: 8.3.2 |
available | [WTS] [JSN] | |
R2-2403418 | Potential scenarios for RRM measurement prediction | discussion | Kyocera | Rel-19 |
R2-125-bis AI: 8.3.2 |
available | [WTS] [JSN] | ||
R2-2403497 | Consideration on AI/ML based RRM measurement prediction | discussion | Xiaomi | FS_NR_AIML_Mob | Rel-19 |
R2-125-bis AI: 8.3.2 |
noted | [WTS] [JSN] | |
R2-2403554 | RRM measurement prediction | discussion | Interdigital Inc. | FS_NR_AIML_Mob | Rel-19 |
R2-125-bis AI: 8.3.2 |
available | [WTS] [JSN] | |
R2-2403622 | Cell-level measurement prediction | discussion | LG Electronics Inc. | FS_NR_AIML_Mob |
R2-125-bis AI: 8.3.2 |
available | [WTS] [JSN] | ||
R2-2403670 | Consideration on RRM measurement prediction |
discussion revision of R2-2402303 |
CATT, Turkcell | FS_NR_AIML_Mob | Rel-19 |
R2-125-bis AI: 8.3.2 |
available | [WTS] [JSN] |
27 documents (0.33676099777222 seconds)