Invention Grant
- Patent Title: Machine learning based dynamic demodulator selection
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Application No.: US17388942Application Date: 2021-07-29
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Publication No.: US11979822B2Publication Date: 2024-05-07
- Inventor: Jacob Pick , Shay Landis , Shlomit Shaked
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Agency: Arent Fox Schiff LLP
- Main IPC: H04W48/18
- IPC: H04W48/18 ; H04L5/00 ; H04W72/542 ; H04W76/25

Abstract:
A user equipment may be configured to perform demodulator selection based on ML model coefficients trained by a base station. In some aspects, the user equipment may transmit a dynamic demodulator indication to a base station, transmit channel information to the base station, and receive, in response to the dynamic demodulator indication, updated coefficient information based on the channel information. Further, the user equipment may select a demodulator based on the updated coefficient information, and communicate with the base station via the demodulator in response to the selection of the demodulator.
Public/Granted literature
- US20230035125A1 MACHINE LEARNING BASED DYNAMIC DEMODULATOR SELECTION Public/Granted day:2023-02-02
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