Machine learning based channel precoder selection for downlink

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United States of America

PATENT NO 12224885
SERIAL NO

18447942

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ATTORNEY / AGENT: (SPONSORED)

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Abstract

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Methods, systems, and devices for wireless communications are described. A user equipment (UE) may transmit neural network (NN) capability information to a network entity. The network entity may train the NN model by selecting a NN-based precoder and generating associated coefficients. The network entity may transmit an indication of the precoder coefficients to the UE. The network entity may transmit demodulation reference signals (DMRSs) that have not been precoded and a physical downlink shared channel (PDSCH) signal that has been narrowband-precoded according to the indicated precoder. The UE may then perform and input a channel estimation to the NN model. The NN model may output the narrowband precoder, which the UE may use to generate a narrowband channel estimate and demodulate the narrowband precoded PDSCH signal. In some examples, the network entity may update NN coefficients and may indicate the updated NN coefficients to the UE.

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Patent Owner(s)

  • QUALCOMM INCORPORATED

International Classification(s)

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Bar-Or, Tillinger Amit Tel-Aviv, IL 158 128
Dallal, Yehonatan Kfar Saba, IL 149 141
Horn, Idan Michael Hod Hasharon, IL 203 128
Landis, Shay Hod Hasharon, IL 405 566
Pick, Jacob Mevaseret Zion, IL 43 42

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