Title: Throughput and delay analysis of intelligent omni surfaces with wind energy harvesting for 6G

Authors: Emna Bouazizi; Majed Abdouli

Addresses: College of Computing and Information Technology at Khulais, University of Jeddah, Jeddah, Saudi Arabia ' College of Computing and Information Technology at Khulais, University of Jeddah, Jeddah, Saudi Arabia

Abstract: This contribution computes the throughput and the delay of intelligent omni surfaces (IOS) when the source recovers power from the wind to be able to broadcast data to two users U_t and U_r. U_t and U_r are located at the transmitted and reflected spaces of IOS. We derive the statistics of the recovered energy as well as that of the SINR. The harvesting time is chosen wisely to enhance the throughput. We investigate the effects of average wind speed and the number of reflectors of IOS denoted by N. IOS with N = 64 reflectors offers 43 dB enhancement versus N = 8. The results are valid for a Rayleigh channel.

Keywords: wind energy harvesting; intelligent omni surfaces; IOS; throughput optimisation; Rayleigh channels.

DOI: 10.1504/IJAHUC.2024.140660

International Journal of Ad Hoc and Ubiquitous Computing, 2024 Vol.47 No.1, pp.17 - 21

Received: 30 Jan 2024
Accepted: 08 May 2024
Published online: 29 Aug 2024 *

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