MAC Revivo: Artificial Intelligence Paves the Way
Journal:
arXiv
Published Date:
Oct 21, 2024
Abstract
The vast adoption of Wi-Fi and/or Bluetooth capabilities in Internet of
Things (IoT) devices, along with the rapid growth of deployed smart devices,
has caused significant interference and congestion in the industrial,
scientific, and medical (ISM) bands. Traditional Wi-Fi Medium Access Control
(MAC) design faces significant challenges in managing increasingly complex
wireless environments while ensuring network Quality of Service (QoS)
performance. This paper explores the potential integration of advanced
Artificial Intelligence (AI) methods into the design of Wi-Fi MAC protocols. We
propose AI-MAC, an innovative approach that employs machine learning algorithms
to dynamically adapt to changing network conditions, optimize channel access,
mitigate interference, and ensure deterministic latency. By intelligently
predicting and managing interference, AI-MAC aims to provide a robust solution
for next generation of Wi-Fi networks, enabling seamless connectivity and
enhanced QoS. Our experimental results demonstrate that AI-MAC significantly
reduces both interference and latency, paving the way for more reliable and
efficient wireless communications in the increasingly crowded ISM band.
