Invention Grant
- Patent Title: Machine learning-assisted use case classification and adaptive antenna tuning
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Application No.: US16671721Application Date: 2019-11-01
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Publication No.: US11533640B2Publication Date: 2022-12-20
- Inventor: David Loweth Winslow , Diego Calzolari , Peyman Hesami
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Agency: Patterson & Sheridan, LLP
- Main IPC: H04W4/00
- IPC: H04W4/00 ; H04W24/02 ; G06N20/00 ; G06K9/62 ; G06N3/08 ; H04W24/06

Abstract:
Certain aspects of the present disclosure provide techniques for adaptively tuning a wireless data transmission system in an electronic device, including: generating a plurality of measurements of an element of the wireless data transmission system in the electronic device; generating a determined use case for the electronic device based on a use case determination model and the plurality of measurements; determining one or more antenna settings associated with the determined use case; tuning the wireless data transmission system based on the one or more antenna settings; and transmitting data via the wireless data transmission system using the one or more antenna settings.
Public/Granted literature
- US20210136601A1 MACHINE LEARNING-ASSISTED USE CASE CLASSIFICATION AND ADAPTIVE ANTENNA TUNING Public/Granted day:2021-05-06
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