Title: Reconfigurable intelligent surfaces with energy harvesting from a water flow and adaptive power

Authors: Faisal Alanazi

Addresses: Prince Sattam Bin Abdulaziz University, Al-Kharj, KSA

Abstract: In this paper, we derive the performance of reconfigurable intelligent surfaces (RIS) with adaptive transmit power (ATP) and energy harvesting from a water flow. The harvested power from a water flow depends on the power of three of water velocity that has a Gaussian distribution. We consider cognitive radio networks (CRN) where the secondary source (SS) harvests power from a water flow to send packets to the secondary destination (SD). Transmission is made with ATP to minimise the interference at the primary destination (PD). Our analysis takes into account the interference at primary and secondary nodes. We select the harvesting time to maximise the throughput.

Keywords: adaptive transmit power; ATP; energy harvesting from a water flow; reconfigurable intelligent surface; RIS; throughput maximisation.

DOI: 10.1504/IJAHUC.2024.138719

International Journal of Ad Hoc and Ubiquitous Computing, 2024 Vol.46 No.1, pp.33 - 37

Received: 08 Nov 2023
Accepted: 24 Jan 2024
Published online: 29 May 2024 *

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