4.7 Article

A Survey on Channel Estimation and Practical Passive Beamforming Design for Intelligent Reflecting Surface Aided Wireless Communications

Journal

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
Volume 24, Issue 2, Pages 1035-1071

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/COMST.2022.3155305

Keywords

Wireless communication; 5G mobile communication; 6G mobile communication; Wireless sensor networks; Hardware; Tutorials; Array signal processing; Intelligent reflecting surface (IRS); wireless communications; channel estimation; passive beamforming; passive beam training; imperfect channel state information; hardware constraints; imperfections; discrete phase-shift; amplitude; phase-dependent amplitude; mutual coupling

Funding

  1. Ministry of Education, Singapore [T2EP50120-0024]
  2. Advanced Research and Technology Innovation Centre (ARTIC) of National University of Singapore [R-261-518-005-720]

Ask authors/readers for more resources

Intelligent reflecting surface (IRS) is a key technology for smart and reconfigurable wireless communication environments. It provides a cost-effective way to combat wireless channel impairments by controlling signal reflection in real time. However, efficient integration and practical design issues pose challenges for IRS research, requiring innovative solutions.
Intelligent reflecting surface (IRS) has emerged as a key enabling technology to realize smart and reconfigurable radio environment for wireless communications, by digitally controlling the signal reflection via a large number of passive reflecting elements in real time. Different from conventional wireless communication techniques that only adapt to but have no or limited control over dynamic wireless channels, IRS provides a new and cost-effective means to combat the wireless channel impairments in a proactive manner. However, despite its great potential, IRS faces new and unique challenges in its efficient integration into wireless communication systems, especially its channel estimation and passive beamforming design under various practical hardware constraints. In this paper, we provide a comprehensive survey on the up-to-date research in IRS-aided wireless communications, with an emphasis on the promising solutions to tackle practical design issues. Furthermore, we discuss new and emerging IRS architectures and applications as well as their practical design problems to motivate future research.

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