US 12,232,218 B2
Techniques for downloading models in wireless communications
Rajeev Kumar, San Diego, CA (US); Gavin Bernard Horn, La Jolla, CA (US); Xipeng Zhu, San Diego, CA (US); and Aziz Gholmieh, Del Mar, CA (US)
Assigned to QUALCOMM Incorporated, San Diego, CA (US)
Filed by QUALCOMM Incorporated, San Diego, CA (US)
Filed on Aug. 11, 2022, as Appl. No. 17/886,381.
Prior Publication US 2024/0056798 A1, Feb. 15, 2024
Int. Cl. H04W 8/24 (2009.01); H04W 48/10 (2009.01); H04W 72/23 (2023.01)
CPC H04W 8/245 (2013.01) [H04W 48/10 (2013.01); H04W 72/23 (2023.01)] 30 Claims
OG exemplary drawing
 
1. An apparatus for wireless communication, comprising:
a processor;
memory coupled with the processor; and
instructions stored in the memory and operable, when executed by the processor, to cause the apparatus to:
receive, from a network node, a list of supported models or model structures (MS) identifiers (IDs) per machine learning function name (MLFN) or machine learning feature (MLF) at the network node;
update a capability at the apparatus to an updated capability based on the list of supported models or MS IDs per MLFN or MLF at the network node; and
download, from a model repository, one or more models or MSs per MLFN or MLF based on the updated capability and available resources at the apparatus.