TY - GEN
T1 - Workload characterization of programmable metasurfaces
AU - Saeed, Taqua
AU - Abadal, Sergi
AU - Liaskos, Christos
AU - Pitsillides, Andreas
AU - Taghvaee, Hamidreza
AU - Cabellos-Aparicio, Albert
AU - Lestas, Marios
AU - Alarcón, Eduard
N1 - Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/9/25
Y1 - 2019/9/25
N2 - Metasurfaces are envisaged to play a key role in next-generation wireless systems due to their powerful control over electromagnetic waves. The last decade has witnessed huge advances in this regard, shifting from static to programmable metasurfaces. The HyperSurface (HSF) paradigm takes one step further by integrating a network of controllers within the device with the aim of adding intelligence, connectivity, and autonomy. However, little is known about the traffic that this network will have to support as the target electromagnetic function or boundary conditions change. In this paper, we lay down the foundations of a methodology to characterize the workload of programmable metasurfaces and then employ it to analyze the case of beam steering HSFs. We observe that traffic is bursty and highly dependent on the position of the target. These results will enable the early-stage evaluation of intra-HSF networks, as well as the estimation of the system performance and cost.
AB - Metasurfaces are envisaged to play a key role in next-generation wireless systems due to their powerful control over electromagnetic waves. The last decade has witnessed huge advances in this regard, shifting from static to programmable metasurfaces. The HyperSurface (HSF) paradigm takes one step further by integrating a network of controllers within the device with the aim of adding intelligence, connectivity, and autonomy. However, little is known about the traffic that this network will have to support as the target electromagnetic function or boundary conditions change. In this paper, we lay down the foundations of a methodology to characterize the workload of programmable metasurfaces and then employ it to analyze the case of beam steering HSFs. We observe that traffic is bursty and highly dependent on the position of the target. These results will enable the early-stage evaluation of intra-HSF networks, as well as the estimation of the system performance and cost.
KW - Integrated Network
KW - Programmable Metasurface
KW - Traffic Analysis
UR - http://www.scopus.com/inward/record.url?scp=85073800850&partnerID=8YFLogxK
U2 - 10.1145/3345312.3345470
DO - 10.1145/3345312.3345470
M3 - Conference contribution
AN - SCOPUS:85073800850
T3 - Proceedings of the 6th ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2019
BT - Proceedings of the 6th ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2019
PB - Association for Computing Machinery, Inc
T2 - 6th ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2019
Y2 - 25 September 2019 through 27 September 2019
ER -