Investigating the Data Rate of Intelligent Reflecting Surface Under Different Deployments

Hassouna, S., Rains, J., Kazim, J. U. R. , Ur Rehman, M. , Imran, M. A. and Abbasi, Q. H. (2022) Investigating the Data Rate of Intelligent Reflecting Surface Under Different Deployments. In: 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Denver, CO, USA, 10-15 Jul 2022, pp. 1578-1579. ISBN 9781665496582 (doi: 10.1109/AP-S/USNC-URSI47032.2022.9886560)

Abstract

Intelligent reflecting surface (IRS) is capable to control the scattering, reflection, and refraction characteristics of the electromagnetic signals. The IRS is usually deployed near the distributed users for the purpose of enhancement the local coverage which is completely different from that for the active relay, almost placed in the middle of the transmitter and receiver for balancing the signal to noise ratio (SNRs) of the two-hop links, that process and amplify the source signal before forwarding it to the receiver. We have studied the deployment of IRS for different locations in SISO wideband system with single antenna at the AP and each user. We used the communication setup considered in the IEEE signal processing Cup 2021 to investigate the user data rate enhancement under different IRS deployments. Simulation results have shown that the data rate improved when the IRS is placed either near the users or the AP. However, the data rate has been reduced when placing the IRS in the middle between the AP and the users.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Kazim, Mr Jalil and Imran, Professor Muhammad and Ur Rehman, Dr Masood and Rains, Mr James and Hassouna, Saber and Abbasi, Professor Qammer
• Authors: Hassouna, S., Rains, J., Kazim, J. U. R., Ur Rehman, M., Imran, M. A., and Abbasi, Q. H.
• College/School: College of Science and Engineering > School of 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: 1947-1491
• ISBN: 9781665496582
• Published Online: 21 September 2022
• Copyright Holders: Copyright © 2022 IEEE
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

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