Towards an AI/ML-defined Radio for Wi-Fi: Overview, Challenges, and Roadmap

TL;DR

This paper explores the concept of AI/ML-defined radios specifically for Wi-Fi, discussing their potential benefits, challenges, and a development roadmap to facilitate their future adoption.

Contribution

It introduces the AI/ML-defined radio concept for Wi-Fi, outlining its advantages, challenges, and proposing a roadmap for development and integration.

Findings

AI/ML-defined radios can optimize Wi-Fi performance.

Challenges include hardware complexity and standardization.

A roadmap for development and adoption is proposed.

Abstract

Will AI/ML-defined radios become a reality in the near future? In this paper, we introduce the concept of an AI/ML-defined radio - a radio architecture specifically designed to support AI/ML-based optimization and decision-making in communication functions - and depict its promised benefits and potential challenges. Additionally, we discuss a potential roadmap for the development and adoption of AI/ML-defined radios, and highlight the enablers for addressing their associated challenges. While we offer a general overview of the AI/ML-defined radio concept, our focus throughout the paper remains on Wi-Fi, a wireless technology that may significantly benefit from the integration of AI/ML-defined radios, owing to its inherent decentralized management and operation within unlicensed frequency bands.