The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 04, 2022

Filed:

Dec. 18, 2020
Applicant:

Qualcomm Incorporated, San Diego, CA (US);

Inventors:

Hamed Pezeshki, San Diego, CA (US);

Tao Luo, San Diego, CA (US);

Taesang Yoo, San Diego, CA (US);

Mahmoud Taherzadeh Boroujeni, San Diego, CA (US);

Arumugam Chendamarai Kannan, San Diego, CA (US);

Jingchao Bao, San Diego, CA (US);

Sony Akkarakaran, Poway, CA (US);

Ajay Gupta, San Diego, CA (US);

Assignee:

QUALCOMM Incorporated, San Diego, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 23/02 (2006.01); H04B 7/0456 (2017.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
H04B 7/0473 (2013.01); G06N 3/08 (2013.01); H04B 7/0478 (2013.01); H04B 7/0482 (2013.01);
Abstract

Wireless communications systems and methods related to indicating antenna configuration information and neural network information are disclosed. Neural network information may be selected for an encoder side based on an antenna configuration of a first device housing the encoder. This information may be transmitted with the antenna configuration information to a second device, which may jointly train the neural network with the first device. The first device may further transmit one or more weights after the training, which are stored with the antenna configuration information at the second device as well. When a third device with similar antenna configuration as the first device establishes communication with the second device, the second device may transmit neural network information, as well as weights, to the third device. The third device may use this information, instead of default information, to speed up neural network initialization and training.


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