Title: Throughput optimisation of intelligent omni-surfaces with hybrid solar and RF energy harvesting

Authors: Faisal Alanazi

Addresses: Electrical Engineering Department, College of Engineering, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia

Abstract: This contribution computes the throughput of intelligent omni-surfaces (IOS) when the source recovers power from the sun and radio frequency (RF) signals to be able to transmit data to two users U_t and U_r. U_t and U_r are located at the transmit and reflect spaces of IOS. We compute the harvested energy as well as its SINR. The harvesting process is optimised to maximise the throughput. We investigate the impact of harvesting time t and the number of reflectors of IOS denoted by N. IOS with N = 64 reflectors offers 48 dB versus N = 8. The results are valid for any size of the PV system. Hybrid solar and RF energy harvesting offers 32 dB gain and 3 dB gain versus RF and solar energy harvesting.

Keywords: intelligent omni-surfaces; IOS; solar energy; RF energy harvesting; SINR; Rayleigh channels.

DOI: 10.1504/IJAHUC.2024.140439

International Journal of Ad Hoc and Ubiquitous Computing, 2024 Vol.46 No.4, pp.203 - 208

Received: 01 Feb 2024
Accepted: 21 Apr 2024
Published online: 09 Aug 2024 *

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