Evaluation of Low Complexity Massive MIMO Techniques Under Realistic Channel Conditions
Evaluation of Low Complexity Massive MIMO Techniques Under Realistic Channel Conditions
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DOI：
10.1109/tvt.2019.2927095
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发表时间：
2019-06
影响因子：
6.8
通讯作者：
M. Bashar;A. Burr;K. Haneda;K. Cumanan;M. Molu;M. Khalily;P. Xiao
中科院分区：
文献类型：
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作者：
M. Bashar;A. Burr;K. Haneda;K. Cumanan;M. Molu;M. Khalily;P. Xiao
本文利用基于几何的随机信道模型COST 2100模型，研究了一种低复杂度的大规模多输入多输出技术。我们建议利用天线相关函数的离散时间傅立叶变换来执行用户调度。所提出的算法依赖于每个用户的信道协方差矩阵的特征值谱的占用箱的数量和所选择的用户之间的频谱重叠之间的折衷。我们接下来表明，线性预编码设计可以只基于信道相关矩阵来执行。该方案利用信道协方差矩阵特征值谱的角仓为用户建立一个“近似特征信道”。我们调查的平均系统吞吐量的减少，没有信道状态信息在发送端（CSIT）。分析和数值结果表明，虽然吞吐量略有下降，由于CSIT的情况下，系统的复杂性显着降低。
In this paper, a low complexity massive multiple-input multiple-output technique is studied with a geometry-based stochastic channel model, called COST 2100 model. We propose to exploit the discrete-time Fourier transform of the antenna correlation function to perform user scheduling. The proposed algorithm relies on a tradeoff between the number of occupied bins of the eigenvalue spectrum of the channel covariance matrix for each user and spectral overlap among the selected users. We next show that linear precoding design can be performed based only on the channel correlation matrix. The proposed scheme exploits the angular bins of the eigenvalue spectrum of the channel covariance matrix to build up an “approximate eigenchannels” for the users. We investigate the reduction of average system throughput with no channel state information at the transmitter (CSIT). Analysis and numerical results show that while the throughput slightly decreases due to the absence of CSIT, the complexity of the system is reduced significantly.