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性别: 男

毕业院校: 北京航空航天大学

学位: 博士

所在单位: 信息与通信工程学院

学科: 通信与信息系统. 信号与信息处理. 电路与系统

办公地点: 创新园大厦A520

联系方式: Tel: 86-0411-84707719 实验室网址: http://wican.dlut.edu.cn

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A Near-Optimal Iterative Linear Precoding With Low Complexity for Massive MIMO Systems

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论文类型: 期刊论文

发表时间: 2019-06-01

发表刊物: IEEE COMMUNICATIONS LETTERS

收录刊物: SCIE、EI

卷号: 23

期号: 6

页面范围: 1105-1108

ISSN号: 1089-7798

关键字: Massive MIMO; precoding; low complexity; iteration method

摘要: The linear zero-forcing (ZF) precoding can achieve the near-optimal sum-rate performance when the favorable channel propagation is obtained in downlink massive multiple-input multiple-output (MIMO) systems. However, it involves high complexity with the matrix inversion. To significantly reduce the complexity of ZF precoding, we propose a weighted two-stage (WTS) precoding scheme with low complexity based on an iterative method. Specifically, the proposed WTS precoding converts the complicated matrix inversion into two-half iteration stages, and the result of each stage is weighted by a coefficient to further speed up the convergence and reduce the complexity. A theoretical analysis demonstrates that the proposed WTS precoding enjoys a fast convergence rate and low complexity. Simulation results indicate that the proposed WTS precoding can achieve better bit error rate (BER) and sum-rate performance with a smaller number of iterations than the recently proposed schemes.

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