Wireless Energy Harvesting For Autonomous Reconfigurable Intelligent Surfaces

Konstantinos Ntontin, Alexandros Apostolos A. Boulogeorgos, Emil Bjornson, Wallace Alves Martins, Steven Kisseleff, Sergi Abadal, Eduard Alarcon, Anastasios Papazafeiropoulos, Fotis Lazarakis, Symeon Chatzinotas

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In the current contribution, we examine the feasibility of fully-energy-autonomous operation of reconfigurable intelligent surfaces (RIS) through wireless energy harvesting (EH) from incident information signals. Towards this, we first identify the main RIS energy-consuming components and present a suitable and accurate energy-consumption model that is based on the recently proposed integrated controller architecture and includes the energy consumption needed for channel estimation. Building on this model, we introduce a novel RIS architecture that enables EH through RIS unit-cell (UC) splitting. Subsequently, we introduce an EH policy, where a subset of the UCs is used for beamsteering, while the remaining UCs absorb energy. In particular, we formulate a subset al.ocation optimization problem that aims at maximizing the signal-to-noise ratio (SNR) at the receiver without violating the RIS’s energy consumption demands. As a problem solution, we present low-complexity heuristic algorithms. The presented numerical results reveal the feasibility of the proposed architecture and the efficiency of the presented algorithms with respect to both the optimal and very high-complexity brute-force approach and the one corresponding to random subset selection. Furthermore, the results reveal how important the placement of the RIS as close to the transmitter as possible is, for increasing the harvesting effectiveness.
Original languageEnglish
Pages (from-to)114-129
Number of pages16
JournalIEEE Transactions on Green Communications and Networking
Issue number1
Early online date24 Aug 2022
Publication statusPublished - 30 Mar 2023


  • autonomous operation
  • Energy consumption
  • Energy harvesting
  • Millimeter wave communication
  • Radio frequency
  • Reconfigurable intelligent surfaces
  • Relays
  • Signal to noise ratio
  • simultaneous energy harvesting and beamsteering
  • unit-cell splitting architecture
  • Wireless communication


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