EM-based parameter iterative approach for sparse Bayesian channel estimation of massive MIMO system

EM-based parameter iterative approach for sparse Bayesian channel estimation of massive MIMO system

Abstract One of the main challenges for a massive multi-input multi-output (MIMO) system is to obtain accurate channel state information despite the increasing number of antennas at the base station. The Bayesian learning channel estimation methods have been developed to reconstruct the sparse chann...

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Bibliographic Details
Main Authors: Sulin Mei, Yong Fang
Format: Article
Language:English
Published: SpringerOpen 2017-11-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Massive MIMO
Expectation maximization
Sparse Bayesian learning
General approximate message passing
Online Access:http://link.springer.com/article/10.1186/s13638-017-0967-3

Internet

http://link.springer.com/article/10.1186/s13638-017-0967-3

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