Paper Info
Title
A low-complexity 3D massive MIMO scheme jointly using statistical and instantaneous CSIT.
Abstract
In this paper, we propose a three-dimensional (3D) beamforming scheme for the massive multiple-input multiple-output (MIMO) system where the base station (BS) employs a uniform rectangular array (URA). In order to avoid the high computational complexity involving large-dimensional channel matrices, a two-stage beamforming method is applied where the second-stage beamforming is a Kronecker product of azimuth and elevation discrete Fourier transform (DFT) beamforming. These DFT prebeamformers are used for cell splitting and form effective channels with lower dimension for first-stage precoding. We develop a low-complexity user grouping algorithm based on the statistical channel state information at the transmitter (CSIT) to partition users. Each group of users is served by the signal-to-leakage-and-noise ratio (SLNR) precoding aiming at suppressing the intra-group and adjacent-group interferences, which is a good balance between performance and complexity. We derive the approximate signal-to-interference-plus-noise ratio (SINR) of our proposed scheme. Numerical results validate that the SINR approximations are tight and indicate the significance of the proposed 3D beamforming scheme.
Year
DOI
Venue
2016
10.1186/s13638-016-0723-0
EURASIP J. Wireless Comm. and Networking
Keywords
Field
DocType
Massive MIMO, 3D MIMO, Deterministic equivalent
Beamforming,Base station,Kronecker product,Computer science,Algorithm,MIMO,Theoretical computer science,Real-time computing,Discrete Fourier transform,Precoding,Channel state information,Computational complexity theory
Journal
Volume
Issue
ISSN
2016
1
1687-1499
Citations 
PageRank 
References 
0
0.34
1
Authors
4
Name
Order
Citations
PageRank
Lixing Fan1192.37
Shiwen He240734.11
Yongming Huang31472146.50
Luxi Yang41180118.08