Title: Intelligent omni-surfaces with power adaptation for cognitive radio networks

Authors: Majed Abdouli; Emna Bouazizi; Ameen Banjar

Addresses: College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia ' College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia ' College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia

Abstract: In this paper, we evaluate the throughput of intelligent omni surfaces (IOS) with power adaptation (PA) for cognitive radio networks (CRN). The power of secondary transmitter S_T is adapted to control the interference at primary receiver P_R. The signal transmitted by S_T is dedicated to users U_t and U_r in the transmitting and reflecting space of IOS. IOS phase shifts are optimised to enhance the SINR at U_t and U_r. IOS with power adaptation has not been yet proposed for 6G wireless systems and offers a significant increase in throughput and data rates. IOS with 32 elements offers up to 30 dB gain versus IOS with eight elements (N = 8). IOS with N = 256 elements offers up to 75 dB gain versus N = 8. The main motivation, novelty and challenge of this paper is to consider IOS with power adaption. IOS for Cognitive radio networks (CRN) and power adaptation has not been yet suggested and it is shown to offer a significant performance enhancement.

Keywords: intelligent omni surface; IOS; 6G; power adaptation; PA.

DOI: 10.1504/IJAHUC.2024.138746

International Journal of Ad Hoc and Ubiquitous Computing, 2024 Vol.46 No.1, pp.38 - 43

Received: 21 Dec 2023
Accepted: 29 Jan 2024
Published online: 29 May 2024 *

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