Machine Learning
and Wi-Fi
ABOUT THE TUTORIAL

IEEE 802.11 networks (aka Wi-Fi) and Artificial Intelligence and Machine Learning (AI/ML) are called to redefine the next generation of wireless unlicensed communications systems. On one hand, next-generation Wi-Fi networks are required to address critical design limitations to meet the stringent requirements of future Internet-based applications like eXtended Reality (XR) or multisense communications. AIML has largely shown outstanding results in countless applications (e.g., image recognition, chatbots), thus becoming a cornerstone technology for many areas. Now, the use of AIML as a key technology for driving the evolution of IEEE 802.11 networks is under study. The benefits that AIML can bring to Wi-Fi go from providing the so eagerly desired reliability and extremely high performance to addressing the technical innovations in new standards. In this tutorial, we begin with an overview of recent Wi-Fi evolution and a primer on AI/ML techniques, and how these technologies can benefit from one another. Next, we present the state of the art on how researchers have foreseen the integration of ML and Wi-Fi through relevant use cases. We also showcase existing libraries to perform joint ML and Wi-Fi research. Moreover, to reinforce the concepts lectured, and for the sake of making the tutorial more interactive, we provide a hands-on activity whereby participants will train and use ML models to address key Wi-Fi problems on-site, using some of the most popular ML libraries. Finally, we outline future research areas.

EVENTS AND VENUES
Mobicom 2023 (2-6 Oct 2023)

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IEEE Future Networks Webinar: Improving Wi-Fi with Machine Learning (19 Oct 2023)

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ICMLCN 2024 5 May 2024, 12:00 pm (UCT)

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AUTHORS