Wireless 2.0: Towards an Intelligent Radio Environment Empowered by Reconfigurable Meta-Surfaces and Artificial Intelligence

TL;DR

This paper proposes 'Wireless 2.0', a future wireless network paradigm that makes the radio environment controllable and intelligent using reconfigurable metasurfaces and AI techniques, emphasizing data management and learning paradigms.

Contribution

It introduces the concept of intelligent radio environments with reconfigurable metasurfaces and explores AI-based computational methods, including supervised and reinforcement learning, for future wireless networks.

Findings

Overview of intelligent radio environments based on metasurfaces

Discussion on data management and learning paradigms

Identification of open challenges and future research directions

Abstract

We introduce "Wireless 2.0": The future generation of wireless communication networks, where the radio environment becomes controllable, programmable, and intelligent by leveraging the emerging technologies of reconfigurable metasurfaces and artificial intelligence (AI). This paper, in particular, puts the emphasis on AI-based computational methods and commence with an overview of the concept of intelligent radio environments based on reconfigurable meta-surfaces. Later we elaborate on data management aspects, the requirements of supervised learning by examples, and the paradigm of reinforcement learning (RL) to learn by acting. Finally, we highlight numerous open challenges and research directions.