Abstract
Wi-Fi® 8 envisions machine learning (ML) -based techniques (among others) to provide better predictability to the Wi-Fi experience. Presented herein are techniques that can be utilized to compute and display such W-Fi experience prediction, which can enable users to know which spot in a given location (e.g., a bar, restaurant, food court, airport, etc.) may provide the best Wi-Fi coverage for their application needs.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Gandhi, Indermeet; Henry, Jerome; Barton, Robert; and Thubert, Pascal, "MACHINE LEARNING TECHNIQUES TO FACILITATE WI-FI NETWORK SELECTION AND PATH MANAGEMENT", Technical Disclosure Commons, (August 21, 2022)
https://www.tdcommons.org/dpubs_series/5322
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