Investigating the Data Rate of Intelligent Reflecting Surfaces with Mutual Coupling and EMI

Hassouna, S., Jamshed, M. A., Ur-Rehman, M. , Imran, M. A. and Abbasi, Q. H. (2023) Investigating the Data Rate of Intelligent Reflecting Surfaces with Mutual Coupling and EMI. In: IEEE Wireless Communications and Networking Conference (WCNC2023), Glasgow, Scotland, UK, 26-29 March 2023, ISBN 9781665491228 (doi: 10.1109/WCNC55385.2023.10118853)

Abstract

In wireless communications, various study findings have shown that a reconfigurable intelligent surface (RIS) may successfully alter wireless wave parameters like phase and amplitude without requiring sophisticated signal processing and decoding at the receiver. However, it is necessary to take into account designing the surface under a realistic frequency selective fading channel. Because of this, we chose a wideband OFDM multi-user communication system based on an actual RIS setup that considers mutual coupling (MC) and electromagnetic interference (EMI). We used Hadamard matrix in the pilot transmissions to estimate the uncontrollable and the controllable channels. The best pilot configuration was selected to initialize the gradient descent method in order to calculate the optimal reflection coefficient that maximize the data rate for each user in the presence of EMI and MC. Simulation results revealed that the data rate has been degraded when considering EMI and MC for around 30 Mbits/s for each user. This confirms that both EMI and MC must be given considerable attention in our research due to their inevitable effects on the system performance.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Imran, Professor Muhammad and Ur Rehman, Dr Masood and Jamshed, Dr Muhammad Ali and Hassouna, Saber and Abbasi, Professor Qammer
• Authors: Hassouna, S., Jamshed, M. A., Ur-Rehman, M., Imran, M. A., and Abbasi, Q. H.
• College/School: College of Science and Engineering; College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity; College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• ISSN: 1558-2612
• ISBN: 9781665491228
• Copyright Holders: Copyright © 2023, IEEE
• First Published: First published in 2023 IEEE Wireless Communications and Networking Conference (WCNC)
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

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