Bayesian optimization to improve WiFi performance

Publication of the LIP in the ACM MSWiM Conference proceedings on October 24, 2022. Communication of the CNRS-INS2I on April 14, 2023. "This site can't be reached, check your Internet connection". Who has never complained about his WiFi network? In order to provide a more reliable (and therefore less frustrating) wireless access to the Internet, Anthony Bardou, PhD candidate at ENS de Lyon and Thomas Begin, Professor at Claude Bernard Lyon 1 University, both members of the Parallel Computation Laboratory (LIP - CNRS/ENS de Lyon/Claude Bernard Lyon 1 University), have developed an algorithm that allows a WiFi network to adapt to its environment by learning to self-configure through trial and error. After only a few seconds of testing, WiFi networks implementing this algorithm show a much higher throughput, more evenly distributed among users. Work presented at the 25th International ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems (MSWiM '22) and published in the conference proceedings. WLANs, which have overtaken wired networks to become the primary means of connecting devices to the Internet, are prone to performance issues due to the scarcity of space in the radio spectrum.