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

TL;DR

This paper explores how AI and ML can be integrated into Wi-Fi networks to address future challenges, proposing a roadmap for AI/ML-native Wi-Fi and discussing standardization and key enablers.

Contribution

It provides a comprehensive overview of the role of AI/ML in Wi-Fi evolution, including a roadmap, challenges, and an illustrative use case for future network design.

Findings

AI/ML can enhance Wi-Fi performance and adaptability

Standardization efforts are crucial for AI/ML integration

A practical use case demonstrates AI/ML benefits in Wi-Fi

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.