基于IAFS算法的毫米波大规模MIMO混合预编码方法

陈浩椅; 李光球; 李辉

doi:10.11959/j.issn.1000-0801.2021192

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基于IAFS算法的毫米波大规模MIMO混合预编码方法

研究与开发 | 更新时间：2024-06-05

- 基于IAFS算法的毫米波大规模MIMO混合预编码方法
- Hybrid precoding method for millimeter-wave massive MIMO systems based on IAFS algorithm
- 电信科学 2021年37卷第8期页码：77-84
- 作者机构：
- 作者简介：
  
  [ "陈浩椅（1995− ），男，杭州电子科技大学通信工程学院硕士生，主要研究方向为毫米波通信" ]
  [ "李光球（1966− ），男，博士，杭州电子科技大学教授，主要研究方向为无线通信、信息论与编码" ]
  [ "李辉（1996− ），男，杭州电子科技大学硕士生，主要研究方向为无线通信" ]
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2021192
  中图分类号： TN919
- 网络出版日期：2021-08，
  
  纸质出版日期：2021-08-20
- 稿件说明：
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陈浩椅, 李光球, 李辉. 基于IAFS算法的毫米波大规模MIMO混合预编码方法[J]. 电信科学, 2021,37(8):77-84.

Haoyi CHEN, Guangqiu LI, Hui LI. Hybrid precoding method for millimeter-wave massive MIMO systems based on IAFS algorithm[J]. Telecommunications science, 2021, 37(8): 77-84.
陈浩椅, 李光球, 李辉. 基于IAFS算法的毫米波大规模MIMO混合预编码方法[J]. 电信科学, 2021,37(8):77-84. DOI： 10.11959/j.issn.1000-0801.2021192.

Haoyi CHEN, Guangqiu LI, Hui LI. Hybrid precoding method for millimeter-wave massive MIMO systems based on IAFS algorithm[J]. Telecommunications science, 2021, 37(8): 77-84. DOI： 10.11959/j.issn.1000-0801.2021192.

摘要

毫米波大规模多输入多输出系统可以通过部分连接混合预编码方法克服其信号路径损耗带来的不利影响，具有硬件实现复杂度低、能量效率高的优点，当输入的数据流数与射频链路数相等时，可以采用基于串行干扰消除的混合预编码方法。当输入的数据流数与射频链路数不相等时，提出了一种基于改进人工鱼群（IAFS）算法的混合预编码方法。其核心思想是基于频谱效率最优化准则和部分连接结构的特点，将针对模拟预编码矩阵变量的频谱效率优化问题转化为基于矢量变量的频谱效率最优化问题，利用IAFS算法进行寻优求解完成预编码矩阵设计。仿真结果表明，所提方法在低信噪比条件下具有较好的频谱效率与能量效率性能，有望在现实场景中得到应用。

Abstract

The millimeter-wave massive multiple-input multiple-output (MIMO) systems can overcome the adverse effects of the free-space signal path loss through the partial connection hybrid precoding method

which has the advantages of low hardware complexity and high energy efficiency.When the number of input data streams is equal to the number of radio frequency (RF) links

the hybrid precoding method based on partially connected structure and serial interference cancellation can be used.When the number of input data streams is not equal to the number of RF links

a hybrid precoding method based on improved artificial fish swarm (IAFS) algorithm was proposed.The core idea is that based on the spectral efficiency optimization criteria and the characteristics of partial connected structure

the spectral efficiency optimization problem of analog recoding matrix variables was transformed into the spectral efficiency optimization problem based on vector variables

and then the IAFS algorithm was used to solve the spectrum efficiency optimization problem.The simulation results show that the proposed method has good spectral efficiency and energy efficiency under the condition of low signal-to-noise ratio

and is expected to be applied in the real scene.

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