View source for US Patent Application 18192937. NETWORK-ASSISTED AND ROUND-TRIP RADIO FREQUENCY FINGERPRINT-BASED (RFFP) POSITION ESTIMATION simplified abstract

=NETWORK-ASSISTED AND ROUND-TRIP RADIO FREQUENCY FINGERPRINT-BASED (RFFP) POSITION ESTIMATION=


==Organization Name==

[[QUALCOMM Incorporated]]


==Inventor(s)==

[[Mohammed Ali Mohammed Hirzallah of San Diego CA (US)]]


[[Srinivas Yerramalli of San Diego CA (US)]]


[[Taesang Yoo of San Diego CA (US)]]


[[Rajat Prakash of San Diego CA (US)]]


==NETWORK-ASSISTED AND ROUND-TRIP RADIO FREQUENCY FINGERPRINT-BASED (RFFP) POSITION ESTIMATION - A simplified explanation of the abstract==


*This abstract for appeared for US patent application  number 18192937 Titled 'NETWORK-ASSISTED AND ROUND-TRIP RADIO FREQUENCY FINGERPRINT-BASED (RFFP) POSITION ESTIMATION'

==Simplified Explanation==

The abstract describes a system where a user's device sends a signal to transmission reception points (TRPs) to determine its position. The TRPs or a location management function analyze the signal using machine learning models to extract features and estimate the user's position. The system also includes methods for estimating position using round-trip signals from the user's device or from the network.


==Original Abstract Submitted==

In an aspect, a user equipment (UE) transmits an uplink reference signal for positioning (RS-P) to one or more transmission reception points (TRPs). The TRP(s) or an location management function (LMF) extracts features from one or more uplink radio frequency fingerprint (RFFPs) of the uplink RS-P by one or more network components via one or more network-based machine learning (ML) feature extraction models, and sends the extracted features to the UE for position estimation. Other aspects are directed to UE-based round-trip RFFP position estimation session of a UE. Other aspects are directed to network-based round-trip RFFP position estimation of a UE. The UE-based round-trip RFFP position estimation and the network-based round-trip RFFP position estimation may be based on an uplink RFFP (e.g., SRS) of an uplink reference signal for positioning (RS-P) and a downlink RFFP of a downlink RS-P (e.g., DL PRS)