Design and Application of Intelligent Reflecting Surface (IRS) for Beyond 5G Wireless Networks: A Review

• Published in: Sensors (Basel, Switzerland) Vol. 22; no. 7; p. 2436
• Main Authors: Okogbaa, Fred Chimzi, Ahmed, Qasim Zeeshan, Khan, Fahd Ahmed, Abbas, Waqas Bin, Che, Fuhu, Zaidi, Syed Ali Raza, Alade, Temitope
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 22.03.2022; MDPI
• Subjects: 5G networks; Bandwidths; Communications equipment; Efficiency; Energy; Energy efficiency; Innovations; intelligent reflecting surfaces (IRS); Internet of Things; IoT; Localization; Mathematical optimization; Millimeter waves; mmWave; Network latency; Network management systems; New technology; Performance degradation; Propagation; Receivers & amplifiers; Review; Spectrum allocation; Tax administration and procedure; Taxation; Telecommunication systems; Transmitters; Unmanned aerial vehicles; URLLC; Wireless communications; Wireless networks; mmWave; URLLC; intelligent reflecting surfaces (IRS); 5G networks; IoT
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s22072436

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.