Invention Grant
- Patent Title: Broadcasting known data to train artificial neural networks
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Application No.: US17176755Application Date: 2021-02-16
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Publication No.: US11646838B2Publication Date: 2023-05-09
- Inventor: Hamed Pezeshki , Tao Luo , Sony Akkarakaran , Jingchao Bao , Ajay Gupta , Taesang Yoo , Vinod Viswanatha Menon , Wooseok Nam
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Agency: Seyfarth Shaw LLP
- Main IPC: H04L5/00
- IPC: H04L5/00 ; H04L12/18 ; H04W76/28 ; H04W4/06 ; H04W36/00 ; H04W72/30

Abstract:
A method of wireless communication, executed by a user equipment (UE), receives, from a base station, a broadcast or multicast message including a known payload, as well as a configuration for the known payload. The method also trains an artificial neural network with the known payload. A method of wireless communication, executed by a base station, configures a known payload for multiple UEs and signals, to the UEs, an indication of which physical channel will include the known payload, as well as time/frequency resources of the known payload. The method also broadcasts or multicasts the known payload to facilitate neural network training at the UEs.
Public/Granted literature
- US20210266125A1 BROADCASTING KNOWN DATA TO TRAIN ARTIFICIAL NEURAL NETWORKS Public/Granted day:2021-08-26
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