Invention Grant
- Patent Title: Predicting wireless measurements based on virtual access points
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Application No.: US17657920Application Date: 2022-04-04
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Publication No.: US12206465B2Publication Date: 2025-01-21
- Inventor: Roohollah Amiri , Srinivas Yerramalli , Taesang Yoo , Mohammed Ali Mohammed Hirzallah , Marwen Zorgui , Mohammad Tarek Fahim , 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
- Agency: QUALCOMM Incorporated
- Main IPC: H04B17/391
- IPC: H04B17/391 ; H04B17/309 ; H04W4/02 ; H04W24/02 ; H04W24/10 ; H04W64/00

Abstract:
Methods and apparatus for predicting wireless measurements based on virtual access points is described. In some embodiments, a location of a user equipment (UE) may be obtained, and given the location of the UE, an output may be generated using a machine learning model, the output including one or more predicted wireless measurements. The output may be indicative of a wireless channel in a multipath environment. In some variants, the machine learning model may have been trained by obtaining a training dataset including multipath components data and ground truth locations of a wireless device, and performing an optimization with respect to the multipath components data and the ground truth locations. In some implementations, a training output including a predicted multipath component may be produced during the training, and the optimization may include an iterative minimization of an error between at least the predicted multipath component and a labeled multipath component.
Public/Granted literature
- US20230318725A1 PREDICTING WIRELESS MEASUREMENTS BASED ON VIRTUAL ACCESS POINTS Public/Granted day:2023-10-05
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