Machine learning approach to mitigate hand blockage in millimeter wave systems

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United States of America Patent

PATENT NO 11764853
APP PUB NO 20230170967A1
SERIAL NO

17537197

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Abstract

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The present disclosure provides for beam selection by a mobile device based on a sensor state of the mobile in order to mitigate hand blockage. The mobile device detects, during operation of the mobile device, a sensor state caused by a hand of an operator on the mobile device. The mobile device selects for communication, while operating in the sensor state, a refined beam set corresponding to the sensor state based on reference signals. The mobile device trains a machine learning model based on a set of training data including pairs of the sensor state and the refined beam set to select a first set of beam weights from a second set of beam weights based on a detected sensor state. The mobile device selects for communication a hand blockage state including the first set of beam weights for a current detected sensor state based on the machine learning model.

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Patent Owner(s)

  • QUALCOMM INCORPORATED

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Li, Junyi Fairless Hills, US 3155 27892
Luo, Tao San Diego, US 5001 28987
Raghavan, Vasanthan West Windsor Township, US 340 1064
Tassoudji, Mohammad Ali San Diego, US 99 549

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