4.7 Article

Intelligent Reflecting Surface-Aided Wireless Communications: A Tutorial

Journal

IEEE TRANSACTIONS ON COMMUNICATIONS
Volume 69, Issue 5, Pages 3313-3351

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCOMM.2021.3051897

Keywords

Wireless networks; Antennas; Relays; MIMO communication; Fading channels; Wireless sensor networks; Reliability; Intelligent reflecting surface (IRS); smart and reconfigurable environment; IRS-aided wireless communication; IRS channel model; IRS hardware architecture and practical constraints; IRS reflection optimization; IRS channel estimation; IRS deployment; IRS applications

Funding

  1. National University of Singapore [SRG2020-00024-IOTSC, FDCT 0108/2020/A]
  2. [R-261-518-005-720]

Ask authors/readers for more resources

Intelligent reflecting surface (IRS) is a technology that can alter wireless signal propagation in wireless networks by dynamically changing wireless channels to enhance communication performance. The future hybrid wireless network aided by IRS, comprising both active and passive components, is expected to achieve sustainable capacity growth cost-effectively.
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.

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