Machine Learning & Wi-Fi: Unveiling the Path Towards AI/ML-Native IEEE 80211 Networks
<|reference_start|>Machine Learning & Wi-Fi: Unveiling the Path Towards AI/ML-Native IEEE 80211 Networks: 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.<|reference_end|>
@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},
    journal={arXiv preprint arXiv:2405.11504},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.11504},
    primaryClass={cs.NI cs.AI}
}