Practical Channel Estimation and Phase Shift Design for Intelligent Reflecting Surface Empowered MIMO Systems

In this paper, channel estimation techniques and phase shift design for intelligent reflecting surface (IRS)-empowered single-user multiple-input multiple-output (SU-MIMO) systems are proposed. The two novel channel estimation techniques proposed in the paper, single-path approximated channel (SPAC)...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2022-08, Vol.21 (8), p.6226-6241
Main Authors: Kim, Sucheol, Lee, Hyeongtaek, Cha, Jihoon, Kim, Sung-Jin, Park, Jaeyong, Choi, Junil
Format: Article
Language:English
Subjects:
Approximation
Channel estimation
Channels
Estimation
Intelligent reflecting surface (IRS)
MIMO communication
Parameter estimation
Phase shift
phase shift design
Quantization (signal)
Reconfigurable intelligent surfaces
single-user multiple-input multiple-output (SU-MIMO)
spectral efficiency
Training
training overhead
Transmission line matrix methods
Uplink
Wireless communication
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Summary:In this paper, channel estimation techniques and phase shift design for intelligent reflecting surface (IRS)-empowered single-user multiple-input multiple-output (SU-MIMO) systems are proposed. The two novel channel estimation techniques proposed in the paper, single-path approximated channel (SPAC) and selective emphasis on rank-one matrices (SEROM), have low training overhead to enable practical IRS-empowered SU-MIMO systems. SPAC is mainly based on parameter estimation by approximating IRS-related channels as dominant single-path channels. SEROM exploits IRS phase shifts as well as training signals for channel estimation and easily adjusts its training overhead. A closed-form solution for IRS phase shift design is also developed to maximize spectral efficiency where the solution only requires basic linear operations. Numerical results show that SPAC and SEROM combined with the proposed IRS phase shift design achieve high spectral efficiency even with low training overhead compared to existing methods.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2022.3147825