Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come

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 pre...

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Veröffentlicht in:	EURASIP journal on wireless communications and networking Jg. 2019; H. 1; S. 1 - 20
Hauptverfasser:	Renzo, Marco Di, Debbah, Merouane, Phan-Huy, Dinh-Thuy, Zappone, Alessio, Alouini, Mohamed-Slim, Yuen, Chau, Sciancalepore, Vincenzo, Alexandropoulos, George C., Hoydis, Jakob, Gacanin, Haris, Rosny, Julien de, Bounceur, Ahcene, Lerosey, Geoffroy, Fink, Mathias
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 23.05.2019 Springer Nature B.V SpringerOpen
Schlagworte:	6G wireless Backscattering Cellular radio Communications Engineering Computer Science Emerging Intelligent Algorithms for Edge-of-Things Computing Emission Engineering Environmental AI Environmental impact Information Systems Applications (incl.Internet) Information Theory Networks Object recognition Operators Power consumption Radio equipment Radio waves Radios Reconfigurable intelligent meta-surfaces Reconfiguration Redesign Review Signal,Image and Speech Processing Smart radio environments Smart sensors Thin films Wireless communications Wireless networks Reconfigurable intelligent meta-surfaces 6G wireless Smart radio environments Environmental AI
ISSN:	1687-1499, 1687-1472, 1687-1499
Online-Zugang:	Volltext
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