US 12,140,689 B2
Network-based sidelink-aware radio frequency fingerprinting (RFFP) positioning
Mohammed Ali Mohammed Hirzallah, San Diego, CA (US); Taesang Yoo, San Diego, CA (US); Srinivas Yerramalli, San Diego, CA (US); Rajat Prakash, San Diego, CA (US); Xiaoxia Zhang, San Diego, CA (US); Marwen Zorgui, San Diego, CA (US); and Roohollah Amiri, San Diego, CA (US)
Assigned to QUALCOMM Incorporated, San Diego, CA (US)
Filed by QUALCOMM Incorporated, San Diego, CA (US)
Filed on Jan. 18, 2022, as Appl. No. 17/648,218.
Prior Publication US 2023/0228835 A1, Jul. 20, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G01S 5/02 (2010.01); G06N 3/08 (2023.01); H04W 24/10 (2009.01); H04W 64/00 (2009.01)
CPC G01S 5/02521 (2020.05) [G06N 3/08 (2013.01); H04W 24/10 (2013.01); H04W 64/00 (2013.01)] 30 Claims
OG exemplary drawing
 
1. A method of positioning performed by a network entity, comprising:
receiving, from at least one network node, a measurement report including one or more radio frequency fingerprint (RFFP) measurements obtained by the at least one network node, wherein the one or more RFFP measurements include at least one RFFP measurement of at least one sidelink channel between a first user equipment (UE) and a second UE; and
determining one or more locations of a target UE based on the one or more RFFP measurements and a machine learning module, wherein the machine learning module is trained based on previously collected RFFP measurements of one or more downlink channels, RFFP measurements of one or more uplink channels, RFFP measurements of one or more sidelink channels, locations of one or more sidelink anchor UEs, locations of one or more base stations, or any combination thereof.