Wireless 2.0: Toward an Intelligent Radio Environment Empowered by Reconfigurable Meta-Surfaces and Artificial Intelligence
Haris Gacanin, Marco Di Renzo
Abstract
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.
Topics & Concepts
WirelessComputer scienceReinforcement learningArtificial intelligenceWireless networkComputer architectureHuman–computer interactionEngineeringSystems engineeringTelecommunicationsAdvanced Wireless Communication TechnologiesAntenna Design and AnalysisIndoor and Outdoor Localization Technologies