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Exploration of Intercell Wireless Millimeter-Wave Communication in the Landscape of Intelligent Metasurfaces

 
: Tasolamprou, A.C.; Pitilakis, A.; Abadal, S.; Tsilipakos, O.; Timoneda, X.; Taghvaee, H.; Mirmoosa, M.S.; Liu, F.; Liaskos, C.; Tsioliaridou, A.; Ioannidis, S.; Kantartzis, N.V.; Manessis, D.; Georgiou, J.; Cabellos-Aparicio, A.; Alarcon, E.; Pitsillides, A.; Akyildiz, I.F.; Tretyakov, S.A.; Economou, E.N.; Kafesaki, M.; Soukoulis, C.M.

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Volltext ()

IEEE access 7 (2019), S.122931-122948
ISSN: 2169-3536
European Commission EC
H2020; 736876; VISORSURF
A Hardware Platform for Software-driven Functional Metasurfaces
Englisch
Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer IZM ()

Abstract
Software-defined metasurfaces are electromagnetically ultra-thin, artificial components that can provide engineered and externally controllable functionalities. The control over these functionalities is enabled by the metasurface tunability, which is implemented by embedded electronic circuits that modify locally the surface resistance and reactance. Integrating controllers within the metasurface able them to intercommunicate and adaptively reconfigure, thus imparting a desired electromagnetic operation, opens the path towards the creation of an artificially intelligent (AI) fabric where each unit cell can have its own sensing, programmable computing, and actuation facilities. In this work we take a crucial step towards bringing the AI metasurface technology to emerging applications, in particular exploring the wireless mm-wave intercell communication capabilities in a software-defined HyperSurface designed for operation in the microwave regime. We examine three different wireless communication channels within the landscape of the reflective metasurface: Firstly, in the layer where the control electronics of the HyperSurface lie, secondly inside a dedicated layer enclosed between two metallic plates, and, thirdly, inside the metasurface itself. For each case we examine the physical implementation of the mm-wave transceiver nodes, we quantify communication channel metrics, and we identify complexity vs. performance trade-offs.

: http://publica.fraunhofer.de/dokumente/N-565607.html