TY - JOUR
T1 - Exploration of intercell wireless millimeter-wave communication in the landscape of intelligent metasurfaces
AU - Tasolamprou, Anna C.
AU - Pitilakis, Alexandros
AU - Abadal, Sergi
AU - Tsilipakos, Odysseas
AU - Timoneda, Xavier
AU - Taghvaee, Hamidreza
AU - Sajjad Mirmoosa, Mohammad
AU - Liu, Fu
AU - Liaskos, Christos
AU - Tsioliaridou, Ageliki
AU - Ioannidis, Sotiris
AU - Kantartzis, Nikolaos V.
AU - Manessis, Dionysios
AU - Georgiou, Julius
AU - Cabellos-Aparicio, Albert
AU - Alarcon, Eduard
AU - Pitsillides, Andreas
AU - Akyildiz, Ian F.
AU - Tretyakov, Sergei A.
AU - Economou, Eleftherios N.
AU - Kafesaki, Maria
AU - Soukoulis, Costas M.
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Mm-wave communications
KW - antennas and propagation
KW - artificially intelligent materials
KW - intercell wireless networks
KW - millimeter wave wireless communications
KW - mm-wave devices
KW - software defined metasurfaces
UR - http://www.scopus.com/inward/record.url?scp=85077963757&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2019.2933355
DO - 10.1109/ACCESS.2019.2933355
M3 - Article
AN - SCOPUS:85077963757
SN - 2169-3536
VL - 7
SP - 122931
EP - 122948
JO - IEEE Access
JF - IEEE Access
M1 - 8788546
ER -