Modeling, simulating and configuring programmable wireless environments for multi-user multi-objective networking. Liaskos, C., Tsioliaridou, A., Nie, S., Pitsillides, A., Ioannidis, S., & Akyildiz, I. 2018. abstract bibtex —Programmable wireless environments enable the software-defined propagation of waves within them, yielding exceptional performance potential. Several building-block technologies have been implemented and evaluated at the physical layer. The present work contributes a network-layer scheme to configure such environments for multiple users and objectives, and for any physical-layer technology. Supported objectives include any combination of Quality of Service and power transfer optimization, eavesdropping and Doppler effect mitigation, in multi-cast or uni-cast settings. Additionally, a graph-based model of programmable environments is proposed, which incorporates core physical observations and efficiently separates physical and networking concerns. Evaluation takes place in a specially developed, free simulation tool, and in a variety of environments. Performance gains over regular propagation are highlighted, reaching important insights on the user capacity of programmable environments.
@misc{
title = {Modeling, simulating and configuring programmable wireless environments for multi-user multi-objective networking},
type = {misc},
year = {2018},
source = {arXiv},
keywords = {HyperSurfaces,Metasurfaces,Mobility,Performance,Programmable,Security,Smart Environments,Software control,Wireless},
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created = {2021-09-27T02:37:46.169Z},
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abstract = {—Programmable wireless environments enable the software-defined propagation of waves within them, yielding exceptional performance potential. Several building-block technologies have been implemented and evaluated at the physical layer. The present work contributes a network-layer scheme to configure such environments for multiple users and objectives, and for any physical-layer technology. Supported objectives include any combination of Quality of Service and power transfer optimization, eavesdropping and Doppler effect mitigation, in multi-cast or uni-cast settings. Additionally, a graph-based model of programmable environments is proposed, which incorporates core physical observations and efficiently separates physical and networking concerns. Evaluation takes place in a specially developed, free simulation tool, and in a variety of environments. Performance gains over regular propagation are highlighted, reaching important insights on the user capacity of programmable environments.},
bibtype = {misc},
author = {Liaskos, C. and Tsioliaridou, A. and Nie, S. and Pitsillides, A. and Ioannidis, S. and Akyildiz, I.}
}
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