Smart Radio Environments Empowered by AI Reconfigurable Meta-Surfaces: An Idea Whose Time Has Come
Marco Di Renzo, Merouane Debbah, Dinh-Thuy Phan-Huy, Alessio Zappone,, Mohamed-Slim Alouini, Chau Yuen, Vincenzo Sciancalepore, George C., Alexandropoulos, Jakob Hoydis, Haris Gacanin, Julien de Rosny, Ahcene, Bounceu, Geoffroy Lerosey, and Mathias Fink

TL;DR
This paper discusses the emerging concept of smart radio environments enabled by AI-powered reconfigurable meta-surfaces, which can customize radio wave propagation, reduce power consumption, and revolutionize future wireless networks.
Contribution
It introduces the idea of using intelligent reconfigurable meta-surfaces to control wireless environments, enabling more sustainable and adaptable wireless communication systems.
Findings
Meta-surfaces can sense and reconfigure radio waves.
Smart environments can reduce power consumption.
Potential for seamless, sustainable wireless connectivity.
Abstract
Future wireless networks are expected to constitute a distributed intelligent wireless communications, sensing, and computing platform, which will have the challenging requirement of interconnecting the physical and digital worlds in a seamless and sustainable manner. Currently, two main factors prevent wireless network operators from building such networks: 1) the lack of control of the wireless environment, whose impact on the radio waves cannot be customized, and 2) the current operation of wireless radios, which consume a lot of power because new signals are generated whenever data has to be transmitted. In this paper, we challenge the usual "more data needs more power and emission of radio waves" status quo, and motivate that future wireless networks necessitate a smart radio environment: A transformative wireless concept, where the environmental objects are coated with…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Antenna Design and Analysis · Opportunistic and Delay-Tolerant Networks
