Exploiting the Clustered Sparsity for Channel Estimation in Hybrid Analog-Digital Massive MIMO Systems

Exploiting the Clustered Sparsity for Channel Estimation in Hybrid Analog-Digital Massive MIMO Systems

Although the hybrid analog–digital processing reduces the hardware complexity to realize massive multiple-input multiple-output system, it increases the difficulty of channel estimation significantly since the base station cannot obtain enough training samples with the limited number of r...

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Bibliographic Details
Main Authors: Yurong Wang, Aijun Liu, Xiaochen Xia, Kui Xu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Hybrid analog-digital massive MIMO
channel estimation
clustered sparse Bayesian learning
data-aided
normalized mean square error
achievable sum-rate
Online Access:https://ieeexplore.ieee.org/document/8580599/

Internet

https://ieeexplore.ieee.org/document/8580599/

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