Channel Estimation for Massive MIMO: An Information Geometry Approach
Author:
Affiliation:
1. National Mobile Communications Research Laboratory, Southeast University, Nanjing, China
2. Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA
3. Department of Communication Systems, EURECOM, Biot, France
Funder
National Key R&D Program of China
Jiangsu Province Basic Research Project
Huawei Cooperation Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/78/9675017/09910031.pdf?arnumber=9910031
Reference44 articles.
1. On the Convergence of Approximate Message Passing With Arbitrary Matrices
2. Double-Sparsity Learning-Based Channel-and-Signal Estimation in Massive MIMO With Generalized Spatial Modulation
3. Capacity scaling and spectral efficiency in wide-band correlated mimo channels
4. First- and second-order characterization of direction dispersion and space selectivity in the radio channel
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