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Practical Channel Estimation and Phase Shift Design for Intelligent Reflecting Surface Empowered MIMO Systems
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DOI：10.1109/TWC.2022.3147825.png)
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Abstract
En 中文
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.
Keywords:
Channel estimation
Training
Estimation
Wireless communication
Uplink
Transmission line matrix methods
Quantization (signal)
Intelligent reflecting surface (IRS)
channel estimation
training overhead
phase shift design
spectral efficiency
single-user multiple-input multiple-output (SU-MIMO)
Journal
IF:
10.7
Papers:
1.3W
Citations:
5.3W