Paper Info
Title
Gaussian-categorical Bayesian inference for massive MIMO downlink channel estimation
Abstract
•We consider the varying channel sparsity patterns over the large antenna array.•A novel Gaussian-categorical prior is designed to match the sparsity patterns.•Variational Bayes is used to derive the near-optimal channel estimation scheme.
Year
DOI
Venue
2020
10.1016/j.sigpro.2019.107408
Signal Processing
Keywords
Field
DocType
Channel estimation,Compressive sensing (CS),Frequency division duplex (FDD),Massive MIMO,Spatially non-stationary channel,Variational inference
Least squares,Base station,Mathematical optimization,Bayesian inference,Iterative method,Communication channel,Algorithm,MIMO,Gaussian,Mathematics,Telecommunications link
Journal
Volume
ISSN
Citations 
169
0165-1684
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Xiantao Cheng1348.09
chao tang25318.29
Shaoqian Li32276195.05