Invention Publication
- Patent Title: DATA GATHERING AND DATA SELECTION TO TRAIN A MACHINE LEARNING ALGORITHM
-
Application No.: US18494299Application Date: 2023-10-25
-
Publication No.: US20240064692A1Publication Date: 2024-02-22
- Inventor: Mohammed Ali Mohammed HIRZALLAH , Srinivas YERRAMALLI , Taesang YOO , Rajat PRAKASH , Xiaoxia ZHANG
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Main IPC: H04W64/00
- IPC: H04W64/00 ; G06F18/214 ; H04W72/23

Abstract:
Disclosed are techniques for training a position estimation module. In an aspect, a first network entity obtains a plurality of positioning measurements, obtains a plurality of positions of one or more user equipments (UEs), the plurality of positions determined based on the plurality of positioning measurements, stores the plurality of positioning measurements as a plurality of features and the plurality of positions as a plurality of labels corresponding to the plurality of features, and trains the position estimation module with the plurality of features and the plurality of labels to determine a position of a UE from positioning measurements taken by the UE.
Public/Granted literature
- US12213097B2 Data gathering and data selection to train a machine learning algorithm Public/Granted day:2025-01-28
Information query