Survey and analysis of the integration of Wi-Fi and machine learning
Обзор и анализ интеграции Wi-Fi и машинного обучения
2026-01-01
SCID: 54.1/x9pw5wgy
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AI/ML integrationIEEE 802.11 TIGWi-Fi networksWi-Fi system architecturemachine learning
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Abstract (AI)
This paper conducts a survey and analysis of Wi-Fi solutions that incorporate AI/ML technologies. Firstly, it outlines the challenges associated with Wi-Fi technology characteristics and the evolution of the latest specifications. Secondly, it examines the feasibility of using AI/ML to improve Wi-Fi performance and user experience, along with the AI/ML use cases defined by the IEEE 802.11 TIG. Afterwards, the paper proposes system architecture for integrating AI/ML into Wi-Fi networks and analyzes typical use cases for practical Wi-Fi deployments. Finally, it presents an overview of the current constraints in applying AI/ML to Wi-Fi systems and discusses potential directions for future technological development.
Key Findings
1
AI/ML is considered feasible for improving Wi-Fi network performance and user experience, including use cases identified by the IEEE 802.11 TIG.
2
Current constraints limiting AI/ML adoption in Wi-Fi systems are identified, with future directions for technological development discussed.
3
The paper proposes a system architecture for integrating AI/ML capabilities into Wi-Fi networks and analyzes representative deployment scenarios.
4
The paper surveys Wi-Fi solutions incorporating AI/ML and relates them to Wi-Fi’s evolving technical specifications and characteristic challenges.
Research Object
Wi-Fi networks and systems incorporating AI/ML technologies
Research Subject
The feasibility, use cases, architecture, performance improvements, user-experience benefits, constraints, and future development directions of integrating AI/ML into Wi-Fi
Publication Details
Publication Date
2026-01-01
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