scholarly journals Channel correlation relied grouped spatial modulation for massive MIMO systems

2020 ◽  
Vol 14 (8) ◽  
pp. 1241-1250 ◽  
Author(s):  
Xingxuan Zuo ◽  
Jiankang Zhang ◽  
Xiaomin Mu ◽  
Lie-Liang Yang
Keyword(s):  
Massive Mimo ◽  
Mimo Systems ◽  
Spatial Modulation ◽  
Channel Correlation

scholarly journals Statistical Beamforming for Massive MIMO Systems with Distinct Spatial Correlations

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6255
Author(s):  
Taehyoung Kim ◽  
Sangjoon Park
Keyword(s):  
Massive Mimo ◽  
Degrees Of Freedom ◽  
Mimo Systems ◽  
Mimo System ◽  
Multiple Input Multiple Output ◽  
High Signal ◽  
Spatial Correlations ◽  
Channel Correlation ◽  
Low Correlation ◽  
Noise Ratio

In this paper, we propose a novel statistical beamforming (SBF) method called the partial-nulling-based SBF (PN-SBF) to serve a number of users that are undergoing distinct degrees of spatial channel correlations in massive multiple-input multiple-output (MIMO) systems. We consider a massive MIMO system with two user groups. The first group experiences a low spatial channel correlation, whereas the second group has a high spatial channel correlation, which can happen in massive MIMO systems that are based on fifth-generation networks. By analyzing the statistical signal-to-interference-plus-noise ratio, it can be observed that the statistical beamforming vector for the low-correlation group should be designed as the orthogonal complement for the space spanned by the aggregated channel covariance matrices of the high-correlation group. Meanwhile, the spatial degrees of freedom for the high-correlation group should be preserved without cancelling the interference to the low-correlation group. Accordingly, a group-common pre-beamforming matrix is applied to the low-correlation group to cancel the interference to the high-correlation group. In addition, to deal with the intra-group interference in each group, the post-beamforming vector for each group is designed in the manner of maximizing the signal-to-leakage-and-noise ratio, which yields additional performance improvements for the PN-SBF. The simulation results verify that the proposed PN-SBF outperforms the conventional SBF schemes in terms of the ergodic sum rate for the massive MIMO systems with distinct spatial correlations, without the rate ceiling effect in the high signal-to-noise ratio region unlike conventional SBF schemes.

Spectral, Energy, and Economic Efficiency of 5G Multicell Massive MIMO Systems With Generalized Spatial Modulation

2016 ◽  
Vol 65 (12) ◽  
pp. 9715-9731 ◽  
Author(s):  
Piya Patcharamaneepakorn ◽  
Shangbin Wu ◽  
Cheng-Xiang Wang ◽  
el-Hadi M. Aggoune ◽  
Mohammed M. Alwakeel ◽  
...  
Keyword(s):  
Economic Efficiency ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Spatial Modulation ◽  
Spectral Energy

scholarly journals Compressive Sensing Assisted Generalized Quadrature Spatial Modulation for Massive MIMO Systems

2019 ◽  
Vol 67 (7) ◽  
pp. 4795-4810 ◽  
Author(s):  
Lixia Xiao ◽  
Pei Xiao ◽  
Yue Xiao ◽  
Harald Haas ◽  
Abdelrahim Mohamed ◽  
...  
Keyword(s):  
Compressive Sensing ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Spatial Modulation
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