US 12,309,085 B2
Null tones adaptation using reinforcement learning
Mohamed Fouad Ahmed Marzban, San Diego, CA (US); Wooseok Nam, San Diego, CA (US); and Tao Luo, San Diego, CA (US)
Assigned to QUALCOMM Incorporated, San Diego, CA (US)
Filed by QUALCOMM Incorporated, San Diego, CA (US)
Filed on Aug. 19, 2022, as Appl. No. 17/821,064.
Prior Publication US 2024/0063961 A1, Feb. 22, 2024
Int. Cl. H04L 5/00 (2006.01); H04B 17/345 (2015.01); H04L 41/16 (2022.01); H04W 24/10 (2009.01)
CPC H04L 5/0048 (2013.01) [H04B 17/345 (2015.01); H04L 41/16 (2013.01); H04W 24/10 (2013.01)] 26 Claims
OG exemplary drawing
 
1. An apparatus for wireless communication at a user equipment (UE), comprising:
at least one memory; and
at least one processor coupled to the at least one memory and, based at least in part on information stored in the memory, the at least one processor is configured to:
receive, from a network node, a first configuration of a null tone pattern, wherein the first configuration of the null tone pattern includes a set of null tones associated with a set of resources, wherein at least one null tone in the set of null tones corresponds to at least one resource in the set of resources;
measure interference corresponding to the set of resources associated with the null tone pattern;
transmit, to the network node, an indication of an adjusted null tone pattern based on the interference corresponding to the set of resources; and
receive, from the network node based on the indication of the adjusted null tone pattern, a second configuration of the adjusted null tone pattern, wherein the adjusted null tone pattern has at least a different time domain density or a different frequency domain density than the null tone pattern.