Channel estimation for FDD massive MIMO system by exploiting the sparse structures in angular domain

Channel estimation for FDD massive MIMO system by exploiting the sparse structures in angular domain

Abstract Massive multiple-input multiple-output (MIMO) is a powerful supporting technology to meet the energy/spectral efficiency and reliability requirement of Internet of Things (IoT) network. However, the gain of massive MIMO relies on the availability of channel state information (CSI). In this...

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Bibliographic Details
Main Authors: Yurong Wang, Xiaochen Xia, Kui Xu, Wei Xie, Minghai Wang
Format: Article
Language:English
Published: SpringerOpen 2019-02-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
FDD massive MIMO
Channel estimation
Structured prior
Sparse Bayesian learning
Normalized mean square error
Online Access:http://link.springer.com/article/10.1186/s13638-019-1353-0

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http://link.springer.com/article/10.1186/s13638-019-1353-0

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