2026-04-13T05:02:06Zhttps://recercat.cat/oai/requestoai:recercat.cat:10230/716882025-10-30T00:44:17Zcom_2072_6col_2072_452952
2025-10-30T00:44:17Z
urn:hdl:10230/71688
Machine learning and Wi-Fi: unveiling the path toward AI/ML-Native IEEE 802.11 networks
Wilhelmi Roca, Francesc
Szott, Szymon
Kosek-Szott, Katarzyna
Bellalta, Boris
Wireless fidelity
Artificial intelligence
IEEE 802.11 standard
Computational modeling
3GPP
Costs
Standards
Data models
Protocols
Computer architecture
Machine learning
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.
This paper is supported by the CHIST-ERA Wireless AI 2022 call MLDR project (ANR-23-CHR4-0005), partially funded by AEI and NCN under projects PCI2023-145958-2 and 2023/05/Y/ST7/00004, respectively. B. Bellalta's contribution is supported by Wi-XR PID2021-123995NB-I00 (MCIU/AEI/FEDER,UE) and MdM CEX2021-001195-M/AEI/10.13039/501100011033.
2025-10-30T00:44:17Z
2025-10-30T00:44:17Z
2025-10-29T09:25:39Z
2025-10-29T09:25:39Z
2025
2025-10-29T09:25:39Z
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://hdl.handle.net/10230/71688
IEEE Communications Magazine. 2025 Jul;63(7):114-20
info:eu-repo/grantAgreement/ES/2PE/PID2021-123995NB-I00
info:eu-repo/grantAgreement/ES/3PE/PCI2023-145958-2
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
Institute of Electrical and Electronics Engineers (IEEE)