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JCM 2025 Vol.20(1): 1-11
DOI: 10.12720/jcm.20.1.1-11

Effect of Adaptive Intelligent Reflective Surfaces on SINR in a Wireless Communication System

Mahmoud Z. Iskandarani
Department of Robotics and Artificial Intelligence Engineering, Faculty of Engineering, Al-Ahliyya Amman University, Amman, Jordan
Email: m.iskandarani@ammanu.edu.jo

Manuscript received October 13, 2024; revised November 30, 2024; accepted December 14, 2024; published January 15, 2025.

Abstract—It has been determined that Intelligent Reflecting Surfaces (IRS) are a revolutionary technology that can create a smart, optimizable environment for wireless communication. This work examines an adaptive IRSassisted communication system that uses multi-hop signal reflection to help a Base Station (BS) communication. A multi-hop cascaded Line-of-Sight (LOS) link between the Base Station (BS) and the user is created by employing LOS link between neighboring IRSs. A group of IRSs are chosen to reflect the BS's signal in turn, increasing the received signal strength at the user. The work presents a closed-form solutions for the best active and cooperative passive beamforming at the BS and particular IRSs, respectively, in order to improve channel communication. Bit Error Rate (BER) and Signal to Interference Plus Noise Ratio (SINR) is calculated considering different number of IRSs and base stations. This, should uncover a key issue between minimizing the multi-reflection path loss and maximizing the multiplicative passive beamforming gain in the ideal beam routing design. The obtained results through simulation, showed an increase in SINR and reduction in BER as a function of increasing transmitter power, reflection coefficient, and number of intelligent reflecting surfaces. Mathematical models are also established relating transmitter power to both reflection coefficient and number of reflecting surfaces.

Keywords—intelligent reflecting surface, beamforming, beam routing, data transmission, communication, Signal to Interference Plus Noise Ratio (SINR), Bit Error Rate (BER)

Cite: Mahmoud Z. Iskandarani, “Effect of Adaptive Intelligent Reflective Surfaces on SINR in a Wireless Communication System," Journal of Communications, vol. 20, no. 1, pp. 1-11, 2025.

Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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