Abstract
Generally, the present disclosure is directed to selecting a best network access point when multiple are available (e.g., including cell towers, WiFi access points, etc.). In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict a best network access point based on device usage data.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Price, Thomas and Lerba, Eytan, "Machine Learning to Select Best Network Access Point", Technical Disclosure Commons, (December 12, 2017)
https://www.tdcommons.org/dpubs_series/936
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