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Separate Channel Estimation and Data Detection for Semi-Passive RIS-Empowered Massive MIMO
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DOI：10.1109/LCOMM.2024.3407514.png)
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Abstract
En 中文
This letter investigates the channel estimation and data detection for semi-passive reconfigurable intelligent surface (RIS) assisted millimeter wave massive multiple-input-multiple-output systems. We first achieve the coarse user-to-RIS and RIS-to-base station channels by leveraging partial active elements at the RIS. We then develop a double-layer bilinear generalized approximate message passing (DL-BiGAMP) algorithm to refine the individual channels and recover data symbols. The numerical results demonstrate that the proposed DL-BiGAMP technique can improve the performance of the channel estimation and data detection compared with other counterparts.
Keywords:
Channel estimation
Wireless communication
Millimeter wave communication
Estimation
Vectors
Surface waves
Message passing
data detection
reconfigurable intelligent surface
message passing
Journal
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4.4
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1.3W
Citations:
2.2W