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

作者：Haris Gacanin, Marco Di Renzo · 发表于：IEEE Vehicular Technology Magazine · 年份：2020 · DOI：10.1109/mvt.2020.3017927 · 被引用次数：82 · 研究领域：Advanced Wireless Communication Technologies、Antenna Design and Analysis、Indoor and Outdoor Localization Technologies

In this article, we introduce Wireless 2.0, the future generation of wireless communication networks, in which the radio environment becomes controllable and intelligent by leveraging the emerging technologies of reconfigurable metasurfaces (RMSs) and artificial intelligence (AI). In particular, we emphasize AI-based computational methods and commence with an overview of the concept of intelligent radio environments (IREs) based on RMSs. Then, we elaborate on data management aspects, the requirements of supervised learning by examples, and the paradigm of reinforcement learning to learn by acting. Finally, we highlight numerous open challenges and research directions.