ABSense: Sensing Electromagnetic Waves on Metasurfaces via Ambient Compilation of Full Absorption
Date
2019Author
Liaskos, C.Pirialakos, G.
Pitilakis, A.
Abadal, S.
Tsioliaridou, A.
Tasolamprou, A.
Tsilipakos, O.
Kantartzis, N.
Ioannidis, S.
Alarcon, E.
Cabellos, A.
Kafesaki, M.
Pitsillides, Andreas
Kossifos, K.
Georgiou, Julius
Akyildiz, I. F.
Place of publication
Dublin, IrelandSource
ACM NanoCom 2019, 6th ACM International Conference on Nanoscale Computing and CommunicationGoogle Scholar check
Metadata
Show full item recordAbstract
Metasurfaces constitute effective media for manipulating and transforming impinging EM waves. Related studies have explored a series of impactful MS capabilities and applications in sectors such as wireless communications, medical imaging and energy harvesting. A key-gap in the existing body of work is that the attributes of the EM waves to-be-controlled (e.g., direction, polarity, phase) are known in advance. The present work proposes a practical solution to the EM wave sensing problem using the intelligent and networked MS counterparts-the HyperSurfaces (HSFs), without requiring dedicated field sensors. An nano-network embedded within the HSF iterates over the possible MS configurations, finding the one that fully absorbs the impinging EM wave, hence maximizing the energy distribution within the HSF. Using a distributed consensus approach, the nano-network then matches the found configuration to the most probable EM wave traits, via a static lookup table that can be created during the HSF manufacturing. Realistic simulations demonstrate the potential of the proposed scheme. Moreover, we show that the proposed workflow is the first-of-its-kind embedded EM compiler, i.e., an autonomic HSF that can translate high-level EM behavior objectives to the corresponding, low-level EM actuation commands.