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Zero-Energy Reconfigurable Intelligent Surfaces (zeRIS)

Dimitrios Tyrovolas, Sotiris A. Tegos, Vasilis K. Papanikolaou, Yue Xiao, Prodromos‐Vasileios Mekikis, Panagiotis D. Diamantoulakis, Sotiris Ioannidis, Christos Liaskos, George K. Karagiannidis

2023IEEE Transactions on Wireless Communications49 citationsDOIOpen Access PDF

Abstract

A primary objective of the forthcoming sixth generation (6G) of wireless networking is to support demanding applications, while ensuring energy efficiency. Programmable wireless environments (PWEs) have emerged as a promising solution, leveraging reconfigurable intelligent surfaces (RISs), to control wireless propagation and deliver exceptional quality-of-service. In this paper, we analyze the performance of a network supported by <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">zero-energy RISs (zeRISs)</i> , which harvest energy for their operation and contribute to the realization of PWEs. Specifically, we investigate joint energy-data rate outage probability and the energy efficiency of a zeRIS-assisted communication system by employing three harvest-and-reflect (HaR) methods, i) power splitting, ii) time switching, and iii) element splitting. Furthermore, we consider two zeRIS deployment strategies, namely BS-side zeRIS and UE-side zeRIS. Simulation results validate the provided analysis and examine which HaR method performs better depending on the zeRIS placement. Finally, valuable insights and conclusions for the performance of zeRIS-assisted wireless networks are drawn from the presented results.

Topics & Concepts

Computer scienceWirelessWireless networkEnergy (signal processing)Efficient energy useQuality of serviceSoftware deploymentEnergy harvestingComputer networkRealization (probability)AlgorithmTelecommunicationsElectrical engineeringMathematicsEngineeringStatisticsOperating systemAdvanced Wireless Communication TechnologiesEnergy Harvesting in Wireless NetworksUnderwater Vehicles and Communication Systems
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