Efficient Data Transmission With Compressed Channel Estimation in RIS-Assisted mmWave MIMO Systems

To improve wireless connectivity, reconfigurable intelligent surface (RIS) offers an energy-efficient solution in millimeter wave (mmWave) multi-input multi-output (MIMO) systems. However, the achievable spectrum efficiency (SE) has been limited by challenges associated with channel estimation (CE)...

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Bibliographic Details
Published in:IEEE wireless communications letters 2024-11, Vol.13 (11), p.2965-2969
Main Authors: Zhao, Wuqiong, Dai, Yifang, You, You, Zhang, Li, You, Xiaohu, Zhang, Chuan
Format: Article
Language:English
Subjects:
Array signal processing
Beamforming
beamforming design
channel estimation (CE)
Data transmission
millimeter wave (mmWave)
Millimeter wave communication
Millimeter waves
MIMO communication
Radio frequency
Reconfigurable intelligent surface (RIS)
Reconfigurable intelligent surfaces
Reflection
Vectors
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Summary:To improve wireless connectivity, reconfigurable intelligent surface (RIS) offers an energy-efficient solution in millimeter wave (mmWave) multi-input multi-output (MIMO) systems. However, the achievable spectrum efficiency (SE) has been limited by challenges associated with channel estimation (CE) and hybrid beamforming design. To address these issues, we propose an efficient data transmission (DT) scheme with two-stage compressed sensing (CS)-based CE by exploiting the sparse angular domain channel structure and pruning insignificant components. Simulation results demonstrate that the proposed method achieves reduction in pilot overhead and complexity of CE, and higher SE of DT via iterative optimization.
ISSN:2162-2337
2162-2345
DOI:10.1109/LWC.2024.3425150