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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

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当前位置 : 中文主页 >> 科学研究 >> 论文成果
A Near-Optimal Iterative Linear Precoding With Low Complexity for Massive MIMO Systems

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发布时间:2019-07-01

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:EI、SCIE

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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