大规模MIMO系统中基于权重二对角迭代的低复杂度预编码

曹海燕; 周冬; 许方敏; 方昕; 王秀敏

doi:10.11959/j.issn.1000-0801.2018187

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大规模MIMO系统中基于权重二对角迭代的低复杂度预编码

研究与开发 | 更新时间：2024-06-05

- 大规模MIMO系统中基于权重二对角迭代的低复杂度预编码
- A low complexity precoding based on weighted two diagonal iteration in massive MIMO system
- 电信科学 2018年34卷第9期页码：63-69
- 作者机构：
  
  1. 杭州电子科技大学通信工程学院，浙江杭州 310018
  2. 中国计量大学信息工程学院，浙江杭州 310018
- 作者简介：
  
  [ "曹海燕（1975−），女，博士，杭州电子科技大学通信工程学院副教授，主要研究方向为无线通信系统的信道编码、信号检测、LTE物理层标准等。" ]
  [ "周冬（1994−），男，杭州电子科技大学通信工程学院硕士生，主要研究方向为无线通信系统、大规模MIMO系统中的预编码技术。" ]
  [ "许方敏（1980−），女，杭州电子科技大学通信工程学院讲师，主要研究方向为先进移动通信系统及其关键技术，包括干扰抑制策略、无线资源管理策略。" ]
  [ "方昕（1975−），女，杭州电子科技大学通信工程学院副教授，主要研究方向为4G/5G移动通信物理层算法。" ]
  [ "王秀敏（1963−），女，中国计量大学信息工程学院教授，主要研究方向为电路与系统、信号处理。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61501158);国家自然科学基金资助项目;The National Natural Science Foundation of China(61379027);浙江省教育厅科学基金资助项目;The Education Department Foundation of Zhejiang Province of China(LY14F010019);浙江省教育厅科学基金资助项目;The Education Department Foundation of Zhejiang Province of China(LQ15F01004)
- DOI：10.11959/j.issn.1000-0801.2018187
  中图分类号： TN929.53
- 网络出版日期：2018-09，
  
  纸质出版日期：2018-09-20
- 稿件说明：
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曹海燕, 周冬, 许方敏, 等. 大规模MIMO系统中基于权重二对角迭代的低复杂度预编码[J]. 电信科学, 2018,34(9):63-69.

Haiyan CAO, Dong ZHOU, Fangmin XU, et al. A low complexity precoding based on weighted two diagonal iteration in massive MIMO system[J]. Telecommunications science, 2018, 34(9): 63-69.
曹海燕, 周冬, 许方敏, 等. 大规模MIMO系统中基于权重二对角迭代的低复杂度预编码[J]. 电信科学, 2018,34(9):63-69. DOI： 10.11959/j.issn.1000-0801.2018187.

Haiyan CAO, Dong ZHOU, Fangmin XU, et al. A low complexity precoding based on weighted two diagonal iteration in massive MIMO system[J]. Telecommunications science, 2018, 34(9): 63-69. DOI： 10.11959/j.issn.1000-0801.2018187.

摘要

大规模MIMO系统中由于系统下行链路的迫零（zero forcing，ZF）预编码中存在大矩阵求逆运算，随着用户数与天线数的增加，其复杂度随之增加。为了降低复杂度，提出了一种基于雅克比（Jacobi）迭代算法的改进预编码算法，用下二对角矩阵作为迭代矩阵，并且将迭代结果与上一步迭代结果进行权重相加来加速迭代。根据大规模MIMO系统信道矩阵的对角占优特性，将矩阵求逆的诺依曼近似的第一项作为迭代的初始值进一步加速迭代。相比于传统迫零预编码方案，提出的方案可以降低一个量级的算法复杂度，并且保证了预编码方案的性能。

Abstract

In massive MIMO systems

with the increase of the number of users and antennas

the complexity of the downlink zero forcing (ZF) precoding increases due to the existence of large matrix inversion.In order to reduce the complexity

an improved weighted two diagonal iteration precoding algorithm based on the Jacobi iterative algorithm was proposed.The low-two diagonal matrix was taken as iterative matrix

and the iterative results were weighed addition with the last results to accelerate the convergence speed of the iteration.According to the diagonally dominant characteristic of channel matrix in massive MIMO systems

the first term of the Neumann approximation of matrix inversion was used as the initial value of the iteration to accelerate the iteration further.Compared with the traditional ZF precoding

the proposed scheme can reduce the complexity with an order of magnitude and ensure the performance of the precoding scheme.

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Keywords

references

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