US 12,328,151 B2
Machine learning-assisted adaptive antenna tuning
Diego Calzolari, San Diego, CA (US); David Loweth Winslow, San Diego, CA (US); Guilherme Hoefel, San Diego, CA (US); and John Boro, Encinitas, CA (US)
Assigned to QUALCOMM Incorporated, San Diego, CA (US)
Filed by QUALCOMM Incorporated, San Diego, CA (US)
Filed on Jan. 16, 2024, as Appl. No. 18/413,472.
Application 18/413,472 is a continuation of application No. 17/463,290, filed on Aug. 31, 2021, granted, now 11,916,606.
Prior Publication US 2024/0223286 A1, Jul. 4, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. H04B 17/12 (2015.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); H04W 8/24 (2009.01)
CPC H04B 17/12 (2015.01) [G06N 3/045 (2023.01); G06N 3/08 (2013.01); H04W 8/24 (2013.01)] 22 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving one or more operating characteristics of an antenna of a device;
determining, using an antenna model, a target antenna tuner setting based on the one or more operating characteristics, wherein the antenna tuner setting comprises at least one of an aperture tuner setting or an impedance tuner setting; and
implementing the target antenna tuner setting in the antenna.