US 12,225,390 B2
Machine learning model sharing between wireless nodes
Hamed Pezeshki, San Diego, CA (US); Tao Luo, San Diego, CA (US); and Yan Zhou, San Diego, CA (US)
Assigned to QUALCOMM Incorporated, San Diego, CA (US)
Filed by QUALCOMM Incorporated, San Diego, CA (US)
Filed on Nov. 9, 2021, as Appl. No. 17/454,096.
Claims priority of provisional application 63/112,318, filed on Nov. 11, 2020.
Prior Publication US 2022/0150727 A1, May 12, 2022
Int. Cl. H04W 24/02 (2009.01); H04L 41/14 (2022.01); H04L 41/16 (2022.01)
CPC H04W 24/02 (2013.01) [H04L 41/145 (2013.01); H04L 41/16 (2013.01)] 30 Claims
OG exemplary drawing
 
1. An apparatus for wireless communications by a user equipment (UE), comprising:
one or more memories comprising instructions; and
one or more processors configured, individually or in any combination, to execute the instructions and cause the apparatus to:
transmit, to a network entity, an indication that identifies one or more machine learning models that are associated with one or more transmission and reception points (TRPs) of a plurality of TRPs, wherein the indication includes, for each of the one or more machine learning models, an identifier associated with a corresponding machine learning model of the one or more machine learning models; and
transmit a notification to switch from a first machine learning model of the one or more machine learning models, the first machine learning model associated with a first TRP of the plurality of TRPs, to a second machine learning model of the one or more machine learning models, the second machine learning model associated with a second TRP of the plurality of TRPs.