US 12,445,872 B2
Online training and augmentation of neural networks for channel state feedback
Pavan Kumar Vitthaladevuni, San Diego, CA (US); Taesang Yoo, San Diego, CA (US); Naga Bhushan, San Diego, CA (US); June Namgoong, San Diego, CA (US); Jay Kumar Sundararajan, San Diego, CA (US); Krishna Kiran Mukkavilli, San Diego, CA (US); Tingfang Ji, San Diego, CA (US); Wanshi Chen, San Diego, CA (US); and Hwan Joon Kwon, San Diego, CA (US)
Assigned to QUALCOMM Incorporated, San Diego, CA (US)
Filed by QUALCOMM Incorporated, San Diego, CA (US)
Filed on Aug. 6, 2021, as Appl. No. 17/396,248.
Claims priority of provisional application 63/067,208, filed on Aug. 18, 2020.
Prior Publication US 2022/0060917 A1, Feb. 24, 2022
Int. Cl. H04W 24/08 (2009.01); G06N 3/045 (2023.01); H04W 36/00 (2009.01)
CPC H04W 24/08 (2013.01) [G06N 3/045 (2023.01); H04W 36/0005 (2013.01)] 26 Claims
OG exemplary drawing
 
1. A method for wireless communications at a user equipment (UE), comprising:
transmitting, to one or more network entities, a request for a plurality of sets of neural network weights corresponding to a plurality of neural networks, wherein transmitting the request for the plurality of sets of neural network weights is based at least in part on a change in one or more channel conditions at the UE;
receiving the plurality of sets of neural network weights in response to the request;
selecting, using a first neural network at the UE, a set of neural network weights from the plurality of sets of neural network weights, the selected set of neural network weights corresponding to a second neural network of the plurality of neural networks;
updating the selected set of neural network weights corresponding to the second neural network according to one or more measurements identified at the UE; and
transmitting, to the one or more network entities, an identifier corresponding to the second neural network and the updated selected set of neural network weights corresponding to the second neural network.