Qualcomm Incorporated

Peyman Hesami

Diego Calzolari

Mustafa Saglam

Tomas Galvez Santaella

Ning He

David Loweth Winslow

Robert Shuicheong Chan

Sagar Kakade

Ashrafur Reza

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.

Machine learning-assisted use case classification and adaptive antenna tuning

Methods, systems, and devices for wireless communications are described. In some systems, a user equipment (UE) may implement a dynamic threshold for antenna switching. The dynamic threshold may improve the percentage of time that a UE operates using an 'optimal' antenna (e.g., an antenna with the highest reference signal received power (RSRP)) as compared to a static threshold. For example, a UE may communicate with another device using a first antenna. The UE may track a current communication measurement for the first antenna (e.g., an RSRP value) and may perform an antenna switching test based on the measurement. For the test, the UE may update the dynamic threshold for antenna switching based on a machine learning agent, where the agent may include a neural network that determines the updated dynamic threshold value. The UE may perform a comparison with the dynamic threshold to determine whether to switch operating antennas.

Dynamic thresholds for antenna switching diversity

Aspects of the present disclosure relate to techniques for switching antennas in devices that have multiple antennas for communicating via aggregation of multiple carriers.

Opportunistic antenna switch diversity (ASDIV) in carrier aggregation

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San Diego, CA, United States of America

Peyman Hesami