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

arXiv: https://arxiv.org/abs/2405.12675 · HTML: https://mlsanity.com/paper/2405.12675/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 May 2024.

## Built on by (most cited first, 1 of 1)

- [Studying the Role of Synthetic Data for Machine Learning-based Wireless Networks Traffic Forecasting](https://mlsanity.com/paper/2601.07646/) (2026)

## Abstract (arXiv)

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.