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Intelligent Reflecting Surface-Aided Wireless Communications: A Tutorial

delete2021-05-01
delete1.5K
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OA
AI
Q
Qingqing Wu
S
Shuowen Zhang
B
Beixiong Zheng
C
Changsheng You
R
Rui Zhang *
DOI:10.1109/TCOMM.2021.3051897delete
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Abstract

Abstract

En 中文
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.
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
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Transactions on Communications cover
IEEE Transactions on Communications
IF:
8.3
Papers:
1.2W
Citations:
3.6W

Organization

N
National University of Singapore
Scholars:
7.6W
Papers: 6.5W
Citations: 11.4W
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