Machine learning for management of positioning techniques and radio frequency usage

Abstract

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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