Title:
IDENTIFICATION OF UE MOBILITY STATES, AMBIENT CONDITIONS, OR BEHAVIORS BASED ON MACHINE LEARNING AND WIRELESS PHYSICAL CHANNEL CHARACTERISTICS
Document Type and Number:
WIPO Patent Application WO/2023/216043
Kind Code:
A1
Abstract:
A UE may measure a plurality of wireless channel features over a period of time. The UE may train a machine learning model associated with UE mobility state identification based on a wireless channel feature set. The wireless channel feature set may be based on at least one of a training technique associated with the machine learning model, availability of an HST flag, or an RRC state of the UE. The UE may identify a UE mobility state of the UE based on the plurality of wireless channel features and the machine learning model. The machine learning model may include at least one of an LSTM, an RNN, or a transformer. The UE may communicate with a network node based on the identified UE mobility state.
Inventors:
MAO JIE (US)
YU HONG (US)
CHIN TOM (US)
WU NANRUN (US)
LI WEI (US)
WANG XINYU (US)
ZHU JIE (US)
YU HONG (US)
CHIN TOM (US)
WU NANRUN (US)
LI WEI (US)
WANG XINYU (US)
ZHU JIE (US)
Application Number:
PCT/CN2022/091603
Publication Date:
November 16, 2023
Filing Date:
May 09, 2022
Export Citation:
Assignee:
QUALCOMM INC (US)
MAO JIE (CN)
YU HONG (CN)
CHIN TOM (US)
WU NANRUN (CN)
LI WEI (CN)
WANG XINYU (CN)
ZHU JIE (CN)
MAO JIE (CN)
YU HONG (CN)
CHIN TOM (US)
WU NANRUN (CN)
LI WEI (CN)
WANG XINYU (CN)
ZHU JIE (CN)
International Classes:
H04W64/00
Domestic Patent References:
| WO2022005353A1 | 2022-01-06 | |||
| WO2017148511A1 | 2017-09-08 | |||
| WO2022000365A1 | 2022-01-06 |
Foreign References:
| US20210336687A1 | 2021-10-28 | |||
| CN111819892A | 2020-10-23 |
Attorney, Agent or Firm:
NTD PATENT & TRADEMARK AGENCY LTD. (CN)
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