Design and application of intelligent reflecting surface (IRS) for beyond 5G wireless networks: a review

Okogbaa, F.C., Ahmed, Q.Z., Khan, F.A., Abbas, W.B., Che, F., Zaidi, S.A.R. and Alade, T. ORCID: 0000-0002-8292-7613, 2022. Design and application of intelligent reflecting surface (IRS) for beyond 5G wireless networks: a review. Sensors, 22 (7): 2436. ISSN 1424-8220

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Abstract

The existing sub-6 GHz band is insufficient to support the bandwidth requirement of emerging data-rate-hungry applications and Internet of Things devices, requiring ultrareliable low latency communication (URLLC), thus making the migration to millimeter-wave (mmWave) bands inevitable. A notable disadvantage of a mmWave band is the significant losses suffered at higher frequencies that may not be overcome by novel optimization algorithms at the transmitter and receiver and thus result in a performance degradation. To address this, Intelligent Reflecting Surface (IRS) is a new technology capable of transforming the wireless channel from a highly probabilistic to a highly deterministic channel and as a result, overcome the significant losses experienced in the mmWave band. This paper aims to survey the design and applications of an IRS, a 2-dimensional (2D) passive metasurface with the ability to control the wireless propagation channel and thus achieve better spectral efficiency (SE) and energy efficiency (EE) to aid the fifth and beyond generation to deliver the required data rate to support current and emerging technologies. It is imperative that the future wireless technology evolves toward an intelligent software paradigm, and the IRS is expected to be a key enabler in achieving this task. This work provides a detailed survey of the IRS technology, limitations in the current research, and the related research opportunities and possible solutions.

Item Type: Journal article
Publication Title: Sensors
Creators: Okogbaa, F.C., Ahmed, Q.Z., Khan, F.A., Abbas, W.B., Che, F., Zaidi, S.A.R. and Alade, T.
Publisher: MDPI
Date: 22 March 2022
Volume: 22
Number: 7
ISSN: 1424-8220
Identifiers:
NumberType
10.3390/s22072436DOI
1531446Other
Rights: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Divisions: Schools > School of Science and Technology
Record created by: Laura Ward
Date Added: 05 Apr 2022 10:01
Last Modified: 05 Apr 2022 10:01
URI: http://irep.ntu.ac.uk/id/eprint/46053

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