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Acquisition of channel state information for mmWave massive MIMO: traditional and machine learning-based approaches.

Authors :
Qi, Chenhao
Dong, Peihao
Ma, Wenyan
Zhang, Hua
Zhang, Zaichen
Li, Geoffrey Ye
Source :
SCIENCE CHINA Information Sciences; Aug2021, Vol. 64 Issue 8, p1-3, 3p
Publication Year :
2021

Abstract

The accuracy of channel state information (CSI) acquisition directly affects the performance of millimeter wave (mmWave) communications. In this article, we provide an overview on CSI acquisition, including beam training and channel estimation for mmWave massive multiple-input multiple-output systems. The beam training can avoid the estimation of a high-dimension channel matrix, while the channel estimation can flexibly exploit advanced signal processing techniques. In addition to introducing the traditional and machine learning-based approaches in this article, we also compare different approaches in terms of spectral efficiency, computational complexity, and overhead. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1674733X
Volume :
64
Issue :
8
Database :
Complementary Index
Journal :
SCIENCE CHINA Information Sciences
Publication Type :
Academic Journal
Accession number :
151359706
Full Text :
https://doi.org/10.1007/s11432-021-3247-2