User equipment (UE)-based sidelink-aware radio frequency fingerprinting (RFFP) positioning

A first user equipment (UE), comprising:

• means for obtaining one or more first radio frequency fingerprint (RFFP) measurements of at least one or more first sidelink channels received at the first UE;
• and
• means for determining one or more locations of a target UE based on the one or more first 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.

A non-transitory computer-readable medium storing computer-executable instructions that, when executed by a first user equipment (UE), cause the first UE to:

• obtain one or more first radio frequency fingerprint (RFFP) measurements of at least one or more first sidelink channels received at the first UE;
• and
• determine one or more locations of a target UE based on the one or more first 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.