Machine Learning and Wi-Fi: Unveiling the Path Toward AI/ML-Native IEEE 802.11 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 article discusses the role of AI/ML in current and future Wi-Fi networks, and depicts the ways forward. A roadmap toward 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.
Authors
- Szymon Szott (ORCID: https://orcid.org/0000-0001-5884-5581)
- Katarzyna Kosek‐Szott (ORCID: https://orcid.org/0000-0001-7609-9420)
- Francesc Wilhelmi (ORCID: https://orcid.org/0000-0003-3936-535X)
- Boris Bellalta (ORCID: https://orcid.org/0000-0002-7826-3703)
Institutions
- Jagiellonian University (PL)
- Universitat Pompeu Fabra (ES)
- Nokia (Germany) (DE)
- AGH University of Krakow (PL)
Publication Details
- Journal
- IEEE Communications Magazine
- Published
- 2024-10-22
- DOI
- https://doi.org/10.1109/mcom.001.2400292
- Citations
- 8
- Primary Topic
- Wireless Body Area Networks
- Type
- article
- Field-Weighted Citation Impact
- 1.48
Funders
- Ministerio de Ciencia, Innovación y Universidades
- Agence Nationale de la Recherche
- Agencia Estatal de Investigación
- CHIST-ERA