Scinovex
article Open AccessTop 1% cited

Intelligent Reflecting Surface-Aided Wireless Communications: A Tutorial

IEEE Transactions on Communications · 2021 · Vol. 69(5) · pp. 3313–3351
Qingqing WuShuowen ZhangBeixiong ZhengChangsheng YouRui Zhang

Abstract

Intelligent reflecting surface (IRS) is an enabling technology to engineer the radio signal propagation in wireless networks. By smartly tuning the signal reflection via a large number of low-cost passive reflecting elements, IRS is capable of dynamically altering wireless channels to enhance the communication performance. It is thus expected that the new IRS-aided hybrid wireless network comprising both active and passive components will be highly promising to achieve a sustainable capacity growth cost-effectively in the future. Despite its great potential, IRS faces new challenges to be efficiently integrated into wireless networks, such as reflection optimization, channel estimation, and deployment from communication design perspectives. In this paper, we provide a tutorial overview of IRS-aided wireless communications to address the above issues, and elaborate its reflection and channel models, hardware architecture and practical constraints, as well as various appealing applications in wireless networks. Moreover, we highlight important directions worthy of further investigation in future work.

Advanced Wireless Communication TechnologiesAdvanced Antenna and Metasurface TechnologiesOptical Wireless Communication TechnologiesWirelessWireless networkComputer scienceChannel (broadcasting)Reflection (computer programming)Software deploymentRadio propagationWi-Fi arrayElectronic engineeringComputer network

Funding

  • National University of Singapore
  • Fundo para o Desenvolvimento das Ciências e da Tecnologia
Citations
2,794
FWCI
213.15
field-weighted impact
References
278
Percentile
100%
vs. same field & year
Citations per year
Cited by
Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond
IEEE Journal on Selected Areas in Communications · 2022 · 2,946 citations
References
Energy and Spectral Efficiency of Very Large Multiuser MIMO Systems
IEEE Transactions on Communications · 2013 · 3,243 citations
Massive MIMO in the UL/DL of Cellular Networks: How Many Antennas Do We Need?
IEEE Journal on Selected Areas in Communications · 2013 · 2,437 citations
Five disruptive technology directions for 5G
IEEE Communications Magazine · 2014 · 3,816 citations
The Gaussian wire-tap channel
IEEE Transactions on Information Theory · 1978 · 2,043 citations
Reconfigurable Reflectarrays and Array Lenses for Dynamic Antenna Beam Control: A Review
IEEE Transactions on Antennas and Propagation · 2013 · 914 citations
Energy-Efficient Resource Allocation for Mobile-Edge Computation Offloading
IEEE Transactions on Wireless Communications · 2016 · 1,534 citations
5G: A Tutorial Overview of Standards, Trials, Challenges, Deployment, and Practice
IEEE Journal on Selected Areas in Communications · 2017 · 2,252 citations
Beyond Massive MIMO: The Potential of Data Transmission With Large Intelligent Surfaces
IEEE Transactions on Signal Processing · 2018 · 942 citations
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.