Title
Non-Uniform Burst-Sparsity Learning for Massive MIMO Channel Estimation.
Abstract
We address the downlink channel estimation problem for massive multiple-input multiple-output (MIMO) systems in this paper, where the inherit burst-sparsity structure is exploited to improve the channel estimation performance. In the literature, the commonly used burst-sparsity model assumes a uniform burst-sparse structure in which all bursts have similar sizes. However, such assumption is oversi...
Year
DOI
Venue
2019
10.1109/TSP.2018.2889952
IEEE Transactions on Signal Processing
Keywords
Field
DocType
MIMO communication,Channel estimation,Downlink,Scattering,Discrete Fourier transforms,Numerical models,Signal processing algorithms
Mathematical optimization,Bayesian inference,Outlier,Communication channel,MIMO,Stationary point,Optimization problem,Mathematics,Special case,Telecommunications link
Journal
Volume
Issue
ISSN
67
4
1053-587X
Citations 
PageRank 
References 
3
0.38
0
Authors
3
Name
Order
Citations
PageRank
Jisheng Dai113318.30
An Liu250046.79
H. C. So31787161.44