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Machine Learning & Wi-Fi: Unveiling the Path Towards AI/ML-Native IEEE 802.11 Networks

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arxiv 2405.11504 v2 pith:FISUJVZF submitted 2024-05-19 cs.NI cs.AI

classification cs.NIcs.AI
keywords wi-fichallengesfuturegenerationlearningmachineml-nativenetworks
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Artificial intelligence (AI) and machine learning (ML) are nowadays mature technologies considered essential for driving the evolution of future communications systems. Simultaneously, Wi-Fi technology has constantly evolved over the past three decades and incorporated new features generation after generation, thus gaining in complexity. As such, researchers have observed that AI/ML functionalities may be required to address the upcoming Wi-Fi challenges that will be otherwise difficult to solve with traditional approaches. This paper discusses the role of AI/ML in current and future Wi-Fi networks and depicts the ways forward. A roadmap towards AI/ML-native Wi-Fi, key challenges, standardization efforts, and major enablers are also discussed. An exemplary use case is provided to showcase the potential of AI/ML in Wi-Fi at different adoption stages.

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  1. On-Device LLM for Context-Aware Wi-Fi Roaming

    cs.LG 2025-05 conditional novelty 6.0 of 10

    An on-device LLM using context prompts and quantization can adjust Wi-Fi roaming thresholds to balance handover frequency and signal quality better than fixed-rule and PPO baselines in small indoor and outdoor tests.

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