TY - GEN
T1 - On the Use of Programmable Metasurfaces in Vehicular Networks
AU - Saeed, Taqwa
AU - Aziz, Waqar
AU - Pitsillides, Andreas
AU - Vassiliou, Vasos
AU - Akyildiz, Ian
AU - Taghvaee, Hamidreza
AU - Abadal, Sergi
AU - Liaskos, Christos
AU - Tsioliaridou, Ageliki
AU - Ioannidis, Sotiris
AU - Emoyon-Iredia, Ehizogie
AU - Lestas, Marios
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Metasurface-based intelligent reflecting surfaces constitute a revolutionary technology which can serve the purpose of alleviating the blockage problem in mmwave communication systems. In this work, we consider the hypersurface paradigm complementing the software defined metasurface with an embedded controller network in order to facilitate the dissemination of reconfiguration directives to unit cell controllers. For the first time, we describe the methodology with which to characterize the workload within this embedded network in the case of the metasurface tracking multiple users and we use a vehicular communications setting to showcase the methodology. Beyond that, we demonstrate use cases of the workload analysis. We show how the workload characterization can guide the design of information dissemination schemes achieving significant reduction in the network traffic. Moreover, we show how the workload, as a measure of the consumed power, can be used in designing energy efficient communication protocols through a multi-objective optimization problem maximizing the achieved utilization while at the same time minimizing the workload incurred.
AB - Metasurface-based intelligent reflecting surfaces constitute a revolutionary technology which can serve the purpose of alleviating the blockage problem in mmwave communication systems. In this work, we consider the hypersurface paradigm complementing the software defined metasurface with an embedded controller network in order to facilitate the dissemination of reconfiguration directives to unit cell controllers. For the first time, we describe the methodology with which to characterize the workload within this embedded network in the case of the metasurface tracking multiple users and we use a vehicular communications setting to showcase the methodology. Beyond that, we demonstrate use cases of the workload analysis. We show how the workload characterization can guide the design of information dissemination schemes achieving significant reduction in the network traffic. Moreover, we show how the workload, as a measure of the consumed power, can be used in designing energy efficient communication protocols through a multi-objective optimization problem maximizing the achieved utilization while at the same time minimizing the workload incurred.
UR - http://www.scopus.com/inward/record.url?scp=85122786455&partnerID=8YFLogxK
U2 - 10.1109/SPAWC51858.2021.9593176
DO - 10.1109/SPAWC51858.2021.9593176
M3 - Conference contribution
AN - SCOPUS:85122786455
T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
SP - 521
EP - 525
BT - 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2021
Y2 - 27 September 2021 through 30 September 2021
ER -