Qualcomm incorporated (20240098453). POSITIONING MODEL BASED ON MULTIPLE TRANSMISSION POINT AND/OR MULTIPLE BANDWIDTH CONFIGURATIONS simplified abstract

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POSITIONING MODEL BASED ON MULTIPLE TRANSMISSION POINT AND/OR MULTIPLE BANDWIDTH CONFIGURATIONS

Organization Name

qualcomm incorporated

Inventor(s)

Mohammed Ali Mohammed Hirzallah of San Diego CA (US)

Xiaoxia Zhang of San Diego CA (US)

Marwen Zorgui of San Diego CA (US)

Srinivas Yerramalli of San Diego CA (US)

POSITIONING MODEL BASED ON MULTIPLE TRANSMISSION POINT AND/OR MULTIPLE BANDWIDTH CONFIGURATIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240098453 titled 'POSITIONING MODEL BASED ON MULTIPLE TRANSMISSION POINT AND/OR MULTIPLE BANDWIDTH CONFIGURATIONS

Simplified Explanation

The patent application describes a method for training a positioning model using radio frequency fingerprint positioning (RFFP) measurements associated with known positioning parameters of a user equipment (UE) and transmission point configurations.

  • Obtaining a plurality of RFFP measurements linked to known positioning parameters of a UE and transmission point configurations.
  • Training a positioning model to estimate positioning parameters of the UE based on the collected RFFP measurements and known parameters.

Potential Applications

This technology could be applied in indoor positioning systems, asset tracking, and location-based services.

Problems Solved

This technology addresses the challenge of accurately determining the location of a UE in complex indoor environments with multiple transmission points.

Benefits

- Improved accuracy in indoor positioning - Enhanced user experience for location-based services - Efficient asset tracking in indoor spaces

Potential Commercial Applications

"Enhancing Indoor Positioning Systems for Improved User Experience"

Possible Prior Art

One possible prior art could be the use of fingerprinting techniques in indoor positioning systems.

Unanswered Questions

How does this method handle changes in the environment that may affect the radio frequency fingerprints?

The patent application does not specify how the positioning model adapts to changes in the environment that could impact the accuracy of the positioning estimates.

What is the computational complexity of training the positioning model with a large number of RFFP measurements and transmission point configurations?

The patent application does not provide information on the computational resources required for training the positioning model with a significant amount of data.


Original Abstract Submitted

in an aspect, a method performed by a network node includes obtaining a plurality of radio frequency fingerprint positioning (rffp) measurements associated with known positioning parameters associated with a known location of a user equipment (ue), wherein each rffp measurement of the plurality of rffp measurements is further associated with a transmission point configuration of a plurality of transmission point configurations; and training a positioning model to provide an estimate of one or more positioning parameters associated with a location of the ue, wherein the training of the positioning model is based on the plurality of rffp measurements, known positioning parameters associated with the known location, and the plurality of transmission point configurations.