Machine Learning & Wi-Fi: Unveiling the Path Towards AI/ML-Native IEEE 802.11 Networks
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 8 of its 17 references that are in the map. First posted on arXiv 19 May 2024.
Builds on
8 of 17 references.
References · 8
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- 2023Large Generative AI Models for Telecom: The Next Big Thing?cited by 52
- 2021Wi-Fi Meets ML: A Survey on Improving IEEE 802.11 Performance with Machine Learningcited by 20
- 2018Potential and Pitfalls of Multi-Armed Bandits for Decentralized Spatial Reuse in WLANscited by 7
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Citing papers per year: 2025: 1.
1 paper.
- 2025On-Device LLM for Context-Aware Wi-Fi Roamingcited by 2
- 2025On-Device LLM for Context-Aware Wi-Fi Roaming7 May 2025