毫米波大规模MIMO系统中低复杂度混合预编码方法

向建伟; 于秀兰; 景小荣

doi:10.11959/j.issn.1000-0801.2016219

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毫米波大规模MIMO系统中低复杂度混合预编码方法

研究与开发 | 更新时间：2024-06-05

- 毫米波大规模MIMO系统中低复杂度混合预编码方法
- Low complexity hybrid precoding method in mmWave massive MIMO system
- 电信科学 2016年32卷第9期页码：10-15
- 作者机构：
  
  1. 重庆邮电大学通信与信息工程学院，重庆 400065
  2. 移动通信技术重庆市重点实验室，重庆 400065
- 作者简介：
  
  [ "向建伟(1991-)，男，重庆邮电大学硕士生，主要研究方向为毫米波大规模MIMO系统中的混合预编码。" ]
  [ "于秀兰(1973-)，女，重庆邮电大学副教授，主要研究方向为移动通信。" ]
  [ "景小荣(1974-)，男，博士，重庆邮电大学副教授，主要研究方向为多天线系统中的信号处理。" ]
- 基金信息：
  
  国家科技重大专项基金资助项目;National Science and Technology Major Special Project of China(2015ZX03001033-002);重庆市基础与前沿研究计划项目;Chongqing Research Program of Basic Research and Frontier Technology(cstc2015jcyjA40040)
- DOI：10.11959/j.issn.1000-0801.2016219
  中图分类号： TN919
- 网络出版日期：2016-09，
  
  纸质出版日期：2016-09-15
- 稿件说明：
移动端阅览
向建伟, 于秀兰, 景小荣. 毫米波大规模MIMO系统中低复杂度混合预编码方法[J]. 电信科学, 2016,32(9):10-15.

Jianwei XIANG, Xiulan YU, Xiaorong JING. Low complexity hybrid precoding method in mmWave massive MIMO system[J]. Telecommunications science, 2016, 32(9): 10-15.
向建伟, 于秀兰, 景小荣. 毫米波大规模MIMO系统中低复杂度混合预编码方法[J]. 电信科学, 2016,32(9):10-15. DOI： 10.11959/j.issn.1000-0801.2016219.

Jianwei XIANG, Xiulan YU, Xiaorong JING. Low complexity hybrid precoding method in mmWave massive MIMO system[J]. Telecommunications science, 2016, 32(9): 10-15. DOI： 10.11959/j.issn.1000-0801.2016219.

摘要

针对毫米波大规模多输入多输出(MIMO)系统混合预编码方案设计的难点，提出了一种低复杂度混合预编码方法。首先基于奇异值分解，构造初始射频(RF)预编码矩阵，然后构造数字预编码矩阵。进而将残差矩阵最大左奇异矢量构造的矢量添加到RF矩阵的最后一列，以更新初始RF矩阵。经过多次迭代，从而形成最终RF预编码矩阵。最后基于最小二乘准则设计数字预编码矩阵。理论分析和仿真结果表明，相比于基于正交匹配追踪(OMP)算法的混合预编码设计方法，该方法在计算复杂度大幅下降的同时，其性能远远优于基于OMP算法的混合预编码方法，同时在数据流数相对较小时，其性能接近最优的全数字预编码设计方法。

Abstract

A low-complexity hybrid precoding method was proposed to design the hybrid precoding for mmWave massive MIMO system.Firstly

an initial radio frequency(RF)precoding matrix was constructed based on the singular value decomposition.Then an updated RF matrix was constructed by placing the vector which was constructed by the biggest left singular vectors of the residual matrix onto the last column of the initial RF matrix.By multiple iterations

the resultant RF precoding matrix can be obtained and the digital precoding matrix was designed based on the least square criterion.Theoretical analysis and simulation results show that the proposed algorithm greatly outperforms the hybrid precoding method based on orthogonal matching pursuit(OMP)algorithm with much reduced computational complexity.Additionally

the proposed hybrid precoding method has almost the same performance as the full digital precoding method when the number of data stream is relatively less.

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references

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