Intelligent Reflecting Surface-Aided Wireless Communications: A Tutorial

By Qingqing Wu, Shuowen Zhang, Beixiong Zheng, Changsheng You, Rui Zhang. IEEE Transactions on Communications, 2020

2,761 citations recorded by the source corpus.

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.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/905d6ac39e4021743f46ec0197c9a19180523e43

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

  1. Rui Zhang
  2. Qingqing Wu
  3. Robert Schober
  4. Jie Xu
  5. Yuanwei Liu
  6. Changsheng You
  7. Yong Zeng
  8. Xidong Mu

In Electrical and Electronic Engineering

  1. Rui Zhang
  2. Robert Schober
  3. Emil Björnson
  4. Qingqing Wu
  5. Yuanwei Liu
  6. Changsheng You
  7. Luca Sanguinetti
  8. Jie Xu

Citations in the corpus