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 |
---|---|---|---|---|---|---|---|---|---|
R1-2304372 | Discussion on other aspects of AI/ML for CSI feedback enhancement | other | FUTUREWEI | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2304472 | Other aspects on AI/ML for CSI feedback enhancement | discussion | vivo | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2304522 | Discussion on AI-CSI | discussion | Ericsson | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2304535 | Discussion on other aspects for AI CSI feedback enhancement | discussion | ZTE | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2304551 | Discussion on other aspects on AIML for CSI feedback | discussion | Spreadtrum Communications | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2304654 | Discussion on AI/ML for CSI feedback enhancement | discussion | Huawei, HiSilicon | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2304682 | Other aspects on ML for CSI feedback enhancement | discussion | Nokia, Nokia Shanghai Bell | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2304723 | Discussion on AI/ML for CSI feedback enhancement | discussion | CATT | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2304765 | Views on specification impact for CSI feedback enhancement | discussion | Fujitsu | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2304780 | Discussion on AI/ML for CSI feedback enhancement | discussion | InterDigital, Inc. | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2304814 | Discussion on AI/ML for CSI feedback | discussion | Intel Corporation | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2304843 | On Enhancement of AI/ML based CSI | discussion | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | ||
R1-2304855 | Discussion on AI/ML for CSI feedback enhancement | discussion | China Telecom | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2304869 | Discussion on AI/ML for CSI feedback enhancement |
discussion revision of R1-2303038 |
Panasonic | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2304894 | Further discussion on specification impact for CSI feedback based on AI/ML | discussion | xiaomi | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2304949 | Discussion on AI/ML for CSI feedback enhancement | discussion | AT&T | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2305016 | Discussions on AI-ML for CSI feedback | discussion | CAICT | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2305032 | Considerations on CSI measurement enhancements via AI/ML | discussion | Sony | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2305058 | Discussion on AI/ML based methods for CSI feedback enhancement | discussion | Fraunhofer IIS, Fraunhofer HHI | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2305070 | Discussion on AI/ML for CSI feedback enhancement | discussion | NEC | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2305086 | Discussion on other aspects on AI/ML for CSI feedback enhancement | discussion | CMCC | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2305161 | AI and ML for CSI feedback enhancement | discussion | NVIDIA | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2305203 | Further aspects of AI/ML for CSI feedback | discussion | Lenovo | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2305235 | Discussion on other aspects of AI/ML for CSI enhancement | discussion | Apple | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2305297 | Other aspects on AI/ML for CSI feedback enhancement | discussion | LG Electronics | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2305329 | Other aspects on AI/ML for CSI feedback enhancement | discussion | Qualcomm Incorporated | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2305460 | On sub use cases and other aspects of AI/ML for CSI feedback enhancement | discussion | OPPO | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2305506 | Discussion on potential specification impact for CSI feedback enhancement | discussion | Samsung | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2305592 | Discussion on other aspects on AI/ML for CSI feedback enhancement | discussion | NTT DOCOMO, INC. | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2305656 | Other aspects on AI/ML for CSI feedback enhancement | discussion | MediaTek Inc. | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2305763 | Discussion on AI/ML for CSI feedback enhancement | discussion | ITL | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2305790 | Discussion on other aspects on AI/ML for CSI feedback enhancement | discussion | ETRI | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2305873 | Other aspects on AI/ML for CSI feedback enhancement | discussion | IIT Kanpur | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
not treated | [WTS] [JSN] | |
R1-2306042 | Summary #1 on other aspects of AI/ML for CSI enhancement | discussion | Moderator (Apple) | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
noted | [WTS] [JSN] | |
R1-2306043 | Summary #2 on other aspects of AI/ML for CSI enhancement | discussion | Moderator (Apple) | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
noted | [WTS] [JSN] | |
R1-2306044 | Summary #3 on other aspects of AI/ML for CSI enhancement | discussion | Moderator (Apple) | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
noted | [WTS] [JSN] | |
R1-2306045 | Summary #4 on other aspects of AI/ML for CSI enhancement | discussion | Moderator (Apple) | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
noted | [WTS] [JSN] | |
R1-2306046 | Summary #5 on other aspects of AI/ML for CSI enhancement |
discussion revised to R1-2306047 |
Moderator (Apple) | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
revised | [WTS] [JSN] | |
R1-2306047 | Final summary on other aspects of AI/ML for CSI enhancement |
discussion revision of R1-2306046 |
Moderator (Apple) | FS_NR_AIML_air | Rel-18 |
R1-113 AI: 9.2.2.2 |
noted | [WTS] [JSN] |
39 documents (0.330806016922 seconds)