US Patent Application 17804513. MACHINE LEARNING FOR MANAGEMENT OF POSITIONING TECHNIQUES AND RADIO FREQUENCY USAGE simplified abstract

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MACHINE LEARNING FOR MANAGEMENT OF POSITIONING TECHNIQUES AND RADIO FREQUENCY USAGE

Organization Name

Cisco Technology, Inc.

Inventor(s)

Gino M. Corleto of Pattensen (DE)

Robert E. Barton of Richmond (CA)

Jerome Henry of Pittsboro NC (US)

Malcolm M. Smith of Richardson TX (US)

MACHINE LEARNING FOR MANAGEMENT OF POSITIONING TECHNIQUES AND RADIO FREQUENCY USAGE - A simplified explanation of the abstract

This abstract first appeared for US patent application 17804513 titled 'MACHINE LEARNING FOR MANAGEMENT OF POSITIONING TECHNIQUES AND RADIO FREQUENCY USAGE

Simplified Explanation

The patent application describes techniques for improving networking in a physical space using mobile devices.

  • The system receives an indication that a mobile device is in a specific region of the physical space.
  • It determines one or more current external factors that may affect the positioning accuracy in the physical space.
  • A machine learning model is used to predict the accuracy of different positioning techniques based on the indication and external factors.
  • The system then selects the most accurate positioning technique from a set of available techniques.
  • The innovation aims to enhance networking capabilities in different physical spaces by optimizing the selection of positioning techniques.


Original Abstract Submitted

Techniques for improved networking are provided. An indication that a mobile device is in a first region of a physical space is received, and one or more current exogenous factors are determined for the physical space. Positioning technique accuracy is predicted for each respective positioning technique of a plurality of positioning techniques by processing the indication of the first region and the one or more current exogenous factors using a machine learning model. A first positioning technique of the plurality of positioning techniques is selected based on the predicted positioning technique accuracies.

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