Hassouna, S., Jamshed, M. A., Ur Rehman, M. , Imran, M. A. and Abbasi, Q. H. (2023) Configuring reconfigurable intelligent surfaces using a practical codebook approach. Scientific Reports, 13, 11869. (doi: 10.1038/s41598-023-31596-7) (PMID:37481647)
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Abstract
It is proven that the scattering, reflection, and refraction properties of electromagnetic signals can be adapted and managed by using reconfigurable intelligent surfaces (RISs). In this paper, we have investigated the performance of a single-input-single-output (SISO) wideband system in terms of achievable data rate by optimizing the phases of RIS elements and performing a fair power allocation for each subcarrier over the entire bandwidth. A new beamforming codebook is developed from which the maximizing signal-to-noise (SNR) configuration is selected. The channel state information (CSI) along with the selected maximizing SNR configuration is then used by the proposed power algorithm to obtain the optimal configuration of the RIS. To validate our proposed method, it is compared with state-of-the-art semidefinite relaxation (SDR) scheme in terms of performance, complexity and run-time consumption. Our method shows dramatically lower computational complexity than the SDR method and achieves an order of 2.5 increase in the achievable data rate with an optimized RIS compared with an un-configured surface.
| Item Type: | Articles |
|---|---|
| Additional Information: | This work was supported in parts by Engineering and Physical Sciences Research Council (EPSRC) Grants: EP/T021063/1. |
| 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 > School of Engineering College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity |
| Journal Name: | Scientific Reports |
| Publisher: | Nature Research |
| ISSN: | 2045-2322 |
| ISSN (Online): | 2045-2322 |
| Copyright Holders: | Copyright © 2023 The Authors |
| First Published: | First published in Scientific Reports 13:11869 |
| Publisher Policy: | Reproduced under a Creative Commons License |
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