毫米波massive MIMO系统中混合连接的混合预编码设计

赵宏宇; 姚红艳

doi:10.11959/j.issn.1000-436x.2020057

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毫米波massive MIMO系统中混合连接的混合预编码设计

学术论文 | 更新时间：2024-06-05

- 毫米波massive MIMO系统中混合连接的混合预编码设计
- Design of hybridly-connected hybrid precoding in millimeter-wave massive MIMO system
- 通信学报 2020年41卷第3期页码：45-52
- 作者机构：
  
  西南交通大学信息科学与技术学院，四川成都 611756
- 作者简介：
  
  [ "赵宏宇（1971- ），男，重庆人，博士，西南交通大学副教授，主要研究方向为信道编码、5G通信系统、物联网技术等" ]
  [ "姚红艳（1994-），女，重庆人，西南交通大学硕士生，主要研究方向为毫米波 Massive MIMO预编码技术" ]
- 基金信息：
  
  国家自然科学基金资助项目(61971359)
- DOI：10.11959/j.issn.1000-436x.2020057
  中图分类号： TN911
- 网络出版日期：2020-03，
  
  纸质出版日期：2020-03-25
- 稿件说明：
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赵宏宇, 姚红艳. 毫米波massive MIMO系统中混合连接的混合预编码设计[J]. 通信学报, 2020,41(3):45-52.

Hongyu ZHAO, Hongyan YAO. Design of hybridly-connected hybrid precoding in millimeter-wave massive MIMO system[J]. Journal on communications, 2020, 41(3): 45-52.
赵宏宇, 姚红艳. 毫米波massive MIMO系统中混合连接的混合预编码设计[J]. 通信学报, 2020,41(3):45-52. DOI： 10.11959/j.issn.1000-436x.2020057.

Hongyu ZHAO, Hongyan YAO. Design of hybridly-connected hybrid precoding in millimeter-wave massive MIMO system[J]. Journal on communications, 2020, 41(3): 45-52. DOI： 10.11959/j.issn.1000-436x.2020057.

摘要

为了提高混合连接的混合预编码的频谱效率，首先利用连续干扰消除（SIC）的原理得到理想条件下的最优混合预编码矩阵，然后利用梯度下降理论将最优混合预编码矩阵分解为数字预编码矩阵和模拟预编码矩阵，最后考虑模拟预编码矩阵的恒模约束条件，并以最大化频谱效率为目标利用交替最小化方法优化模拟和数字预编码矩阵。所提出的混合预编码设计算法基于混合连接结构，因而能量效率远优于部分连接的和全连接的混合预编码。同时，该算法不会增加混合连接的混合预编码的硬件复杂度且只少量增加计算量。仿真结果表明，该算法能提升混合连接的混合预编码的频谱效率，特别是当射频（RF）链路数大于数据流数时，频谱效率的提升更加显著。由于分块不需要满足正交性，该算法比现有混合连接的混合预编码更适合实际应用。

Abstract

In order to improve the spectral efficiency of hybridly-connected hybrid precoding

the optimal hybrid precoding matrix under the ideal conditions was firstly obtained by using the principle of successive interference cancellation (SIC).Secondly

the optimal hybrid precoding matrix was decomposed into the digital precoding matrix and the analog precoding matrix by using the gradient descent theory.Finally

considering the constant modulus constraint condition of the analog precoding matrix

the digital and analog precoding matrices were optimized by using the alternating minimization method aim to maximize the spectral efficiency.Due to the hybridly-connected structure

the proposed hybrid precoding design algorithm is significantly superior to the partially-connected and fully-connected hybrid precoding in terms of the system energy efficiency.Meanwhile

the algorithm does not increase any hardware complexity and only increases a small amount of computation of the hybridly-connected hybrid precoding.Computer simulation results exhibit that the proposed algorithm can improve the system spectral efficiency of the hybridly-connected hybrid precoding

and the upgrade of spectral efficiency is more significant especially in the conditions that the number of radio frequency (RF) links is greater than the number of data streams.Since the sub-blocks are not necessary to satisfy orthogonality conditions

the proposed algorithm is more suitable for practical application than the existing hybridly-connected hybrid precoding.

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references

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