Qualcomm incorporated (20240114477). POSITIONING MODEL PERFORMANCE MONITORING simplified abstract

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POSITIONING MODEL PERFORMANCE MONITORING

Organization Name

qualcomm incorporated

Inventor(s)

Srinivas Yerramalli of San Diego CA (US)

Mohammed Ali Mohammed Hirzallah of San Diego CA (US)

Taesang Yoo of San Diego CA (US)

Jay Kumar Sundararajan of San Diego CA (US)

POSITIONING MODEL PERFORMANCE MONITORING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240114477 titled 'POSITIONING MODEL PERFORMANCE MONITORING

Simplified Explanation

The present disclosure relates to wireless communication and involves obtaining training measurement information and a training position value associated with a user equipment (UE) for training a model using machine learning techniques.

  • Apparatus obtains training measurement information and a training position value associated with a UE.
  • The apparatus provides the training position value and measurement information for training a model using machine learning techniques.
  • The model is trained to output location information based on measurement information.

Potential Applications

This technology could be applied in:

  • Indoor navigation systems
  • Location-based services
  • Asset tracking

Problems Solved

This technology helps in:

  • Improving location accuracy
  • Enhancing user experience in wireless communication
  • Optimizing resource allocation in wireless networks

Benefits

The benefits of this technology include:

  • Increased efficiency in wireless communication
  • Enhanced user satisfaction with location-based services
  • Improved performance of wireless networks

Potential Commercial Applications

This technology could be commercially benefit:

  • Telecommunication companies
  • IoT device manufacturers
  • Navigation app developers

Possible Prior Art

One possible prior art related to this technology is the use of machine learning for improving location accuracy in wireless communication systems.

What are the specific machine learning techniques used for training the model in this technology?

The specific machine learning techniques used for training the model in this technology are not mentioned in the abstract.

How does the apparatus obtain the training measurement information associated with the UE?

The abstract does not provide details on how the apparatus obtains the training measurement information associated with the UE.


Original Abstract Submitted

various aspects of the present disclosure generally relate to wireless communication. in some aspects, an apparatus may obtain a set of training measurement information associated with a user equipment (ue). the apparatus may obtain a training position value associated with the ue. the apparatus may provide the training position value and the set of training measurement information for training of a model using a machine learning (ml) technique, the model being trained to output location information based at least in part on measurement information. numerous other aspects are described.

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