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

Francesc Wilhelmi, Szymon Szott, Katarzyna Kosek-Szott, Boris Bellalta
5/19/2024
cs.NIcs.AI

No official code found. Best implementation: mlwifitutorial/towards_ai-native_wifi (3 stars, CC-BY-4.0, last commit 2025-12-03).

Abstract

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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Code Implementations(1)

mlwifitutorial/towards_ai-native_wifiCommunity100%
CC-BY-4.0

Materials for the paper "Machine Learning & Wi-Fi: Unveiling the Path towards AI-native IEEE 802.11 Networks"

31Java, ShellMar 28, 202410 months agoCC-BY-4.0

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Cite this paper

@article{wilhelmi2024machine,
  title  = {Machine Learning & Wi-Fi: Unveiling the Path Towards AI/ML-Native IEEE 802.11 Networks},
  author = {Francesc Wilhelmi and Szymon Szott and Katarzyna Kosek-Szott and Boris Bellalta},
  year   = {2024},
  eprint = {2405.11504},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2405.11504v2}
}

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