US 12,461,189 B2
User equipment (UE)-based radio frequency fingerprint (RFFP) positioning with downlink positioning reference signals
Mohammed Ali Mohammed Hirzallah, San Diego, CA (US); Xiaoxia Zhang, San Diego, CA (US); Roohollah Amiri, San Diego, CA (US); Srinivas Yerramalli, San Diego, CA (US); Marwen Zorgui, San Diego, CA (US); Mohammad Tarek Fahim, San Diego, CA (US); Taesang Yoo, San Diego, CA (US); and Rajat Prakash, San Diego, CA (US)
Assigned to QUALCOMM Incorporated, San Diego, CA (US)
Filed by QUALCOMM Incorporated, San Diego, CA (US)
Filed on Apr. 29, 2022, as Appl. No. 17/661,534.
Prior Publication US 2023/0350002 A1, Nov. 2, 2023
Int. Cl. G01S 5/02 (2010.01); H04W 4/029 (2018.01)
CPC G01S 5/02525 (2020.05) [G01S 5/0236 (2013.01); G01S 5/0278 (2013.01); H04W 4/029 (2018.02)] 48 Claims
OG exemplary drawing
 
1. A method of wireless communication performed by a user equipment (UE), comprising:
transmitting one or more provide capabilities messages to a location server, the one or more provide capabilities messages indicating at least a first set of capabilities of the UE to engage in a downlink radio frequency fingerprint (DL-RFFP) positioning procedure and including a first flag indicating whether the UE is capable of using a network-provided machine learning model for the DL-RFFP positioning procedure, and wherein the first set of capabilities indicates:
a list of machine learning model formats supported by the UE,
a maximum number of parameters for the network-provided machine learning model supported by the UE,
one or more parameters related to inferences using the network-provided machine learning model, or
any combination thereof; and
receiving one or more positioning assistance data messages for the DL-RFFP positioning procedure from the location server, the one or more positioning assistance data messages based at least on the first set of capabilities.