Autonomous Reconfigurable Intelligent Surfaces Through Wireless Energy Harvesting
Konstantinos Ntontin, Alexandros-Apostolos A. Boulogeorgos, Emil, Bj\"ornson, Dimitrios Selimis, Wallace Alves Martins, Sergi Abadal, Angeliki, Alexiou, Fotis Lazarakis, Steven Kisseleff, and Symeon Chatzinotas

TL;DR
This paper explores the design of autonomous reconfigurable intelligent surfaces powered by energy harvesting from signals, optimizing placement and configuration to maximize signal quality while ensuring self-sustainability.
Contribution
It introduces an energy harvesting model for RIS, formulates an optimization problem for placement and configuration, and validates autonomous operation through numerical analysis.
Findings
RIS can operate autonomously with proper energy harvesting
Optimal placement and configuration improve SNR
Power consumption ranges enable self-sustaining RIS operation
Abstract
In this paper, we examine the potential for a reconfigurable intelligent surface (RIS) to be powered by energy harvested from information signals. This feature might be key to reap the benefits of RIS technology's lower power consumption compared to active relays. We first identify the main RIS power-consuming components and then propose an energy harvesting and power consumption model. Furthermore, we formulate and solve the problem of the optimal RIS placement together with the amplitude and phase response adjustment of its elements in order to maximize the signal-to-noise ratio (SNR) while harvesting sufficient energy for its operation. Finally, numerical results validate the autonomous operation potential and reveal the range of power consumption values that enables it.
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Energy Harvesting in Wireless Networks · Indoor and Outdoor Localization Technologies
