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arXiv · 1811.09946

A Learning Approach to Wi-Fi Access

Thomas Sandholm·Bernardo A. Huberman
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Abstract

We show experimentally that workload-based AP-STA associations can improve system throughput significantly. We present a predictive model that guides optimal resource allocations in dense Wi-Fi networks and achieves 72-77% of the optimal throughput with varying training data set sizes using a 3-day trace of real cable modem traffic.

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Thomas Sandholm, Bernardo A. Huberman. 2018-11-25. A Learning Approach to Wi-Fi Access. https://arxiv.org/abs/1811.09946

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