Qualcomm incorporated (20240337721). DATA COLLECTION AND TRAINING FOR A NETWORK POSITIONING MODEL simplified abstract

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DATA COLLECTION AND TRAINING FOR A NETWORK POSITIONING MODEL

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)

DATA COLLECTION AND TRAINING FOR A NETWORK POSITIONING MODEL - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240337721 titled 'DATA COLLECTION AND TRAINING FOR A NETWORK POSITIONING MODEL

The abstract describes a patent application where a network node receives sounding reference signals (SRSS) from a wireless device, measures them, and outputs estimated positioning labels, training associated information, or labeling assistance information for a positioning model.

  • The network node can train the positioning model using the measured SRSS and other data.
  • It can transmit the data to a network entity for training the positioning model.
  • The innovation involves improving positioning accuracy in wireless networks by utilizing SRSS data effectively.

Potential Applications:

  • Enhanced location tracking in indoor environments.
  • Improved navigation systems in urban areas with high signal interference.

Problems Solved:

  • Addressing inaccuracies in wireless device positioning.
  • Enhancing the efficiency of location-based services.

Benefits:

  • More precise location data for various applications.
  • Better user experience with location-based services.

Commercial Applications:

  • Optimizing retail store layouts based on customer movement patterns.
  • Enhancing emergency response systems with accurate location tracking.

Prior Art: Prior research in wireless positioning systems and signal processing techniques can provide insights into similar technologies.

Frequently Updated Research: Stay updated on advancements in wireless communication protocols and signal processing algorithms for improved positioning accuracy.

Questions about Wireless Positioning Technology: 1. How does this technology improve location accuracy in indoor environments? 2. What are the potential challenges in implementing this technology in real-world scenarios?

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Original Abstract Submitted

a network node may receive a set of sounding reference signals (srss) from a wireless device. the network node may measure the set of srss. the network node may output at least one of a set of estimated positioning labels, training associated information, or labeling assistance information associated with the set of measured srss for a positioning model. in one example, the network node may output the data by training the positioning model based on at least one of the set of estimated positioning labels, the training associated information, the labeling assistance information, or the set of measured srss. in another example, the network node may output the data by transmitting, for a network entity, at least one of the set of estimated positioning labels, the training associated information, or the set of measured srss for training the positioning model.

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