US 12,316,396 B2
Wireless channel rendering using neural networks
Tribhuvanesh Orekondy, Biel (CH); Arash Behboodi, Amsterdam (NL); Hao Ye, San Diego, CA (US); and Joseph Binamira Soriaga, San Diego, CA (US)
Assigned to QUALCOMM Incorporated, San Diego, CA (US)
Filed by QUALCOMM Incorporated, San Diego, CA (US)
Filed on Sep. 23, 2022, as Appl. No. 17/935,006.
Prior Publication US 2024/0113795 A1, Apr. 4, 2024
Int. Cl. H04B 17/391 (2015.01)
CPC H04B 17/391 (2015.01) 26 Claims
OG exemplary drawing
 
1. A computer-implemented method, comprising:
estimating a representation of a channel using a machine learning model trained to generate the estimated representation of the channel based on a location of a transmitter in a spatial environment, a location of a receiver in the spatial environment, and information about the spatial environment; and
taking one or more actions based on the estimated representation of the channel;
wherein the machine learning model comprises:
a first sub-model configured to encode the information about the spatial environment into an embedding representation of the spatial environment; and
a second sub-model trained to generate the estimated representation of the channel as a continuous representation based on the embedding representation of the spatial environment, the location of the transmitter in the spatial environment, and the location of the receiver in the spatial environment.