
教授 博士生导师 硕士生导师
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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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.