基于LFM的毫米波大规模MIMO混合预编码方法

陈浩椅; 丁一凡; 程英

doi:10.11959/j.issn.1000-0801.2019069

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基于LFM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LFM的毫米波大规模MIMO混合预编码方法
- Hybrid precoding method for mmWave massive MIMO systems based on LFM
- 电信科学 2019年35卷第6期页码：89-95
- 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。" ]
  [ "丁一凡（1995- ），男，杭州电子科技大学通信工程学院硕士生，主要研究方向为无线通信。" ]
  [ "程英（1995- ），女，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。" ]
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2019069
  中图分类号： TN919
- 网络出版日期：2019-06，
  
  纸质出版日期：2019-06-20
- 稿件说明：
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陈浩椅, 丁一凡, 程英. 基于LFM的毫米波大规模MIMO混合预编码方法[J]. 电信科学, 2019,35(6):89-95.

Haoyi CHEN, Yifan DING, Ying CHENG. Hybrid precoding method for mmWave massive MIMO systems based on LFM[J]. Telecommunications science, 2019, 35(6): 89-95.
陈浩椅, 丁一凡, 程英. 基于LFM的毫米波大规模MIMO混合预编码方法[J]. 电信科学, 2019,35(6):89-95. DOI： 10.11959/j.issn.1000-0801.2019069.

Haoyi CHEN, Yifan DING, Ying CHENG. Hybrid precoding method for mmWave massive MIMO systems based on LFM[J]. Telecommunications science, 2019, 35(6): 89-95. DOI： 10.11959/j.issn.1000-0801.2019069.

摘要

模拟数字混合预编码是毫米波大规模多输入多输出（MIMO）系统的关键技术，可以减少硬件成本而又兼顾系统性能。但是传统的混合预编码方法往往需要寻找适合的码本进行预编码，有的码本实际情况中并不容易获得，或者有偏差。针对这个问题，提出一种无需码本的基于机器学习中隐因子模型（LFM）的模数混合预编码方法。利用LFM分解与随机梯度下降法，使设计的混合预编码矩阵逼近最优全数字预编码矩阵，从而得到极佳的性能。仿真结果表明，相比基于正交匹配追踪（OMP）算法的混合预编码设计方法，该方法不但无需事先设计码本，而且其性能比基于OMP算法的混合预编码方法更优秀，更接近最优的全数字预编码方法。

Abstract

Analog-digital hybrid precoding is a key technology for millimeter wave massive MIMO systems that reduce hardware costs while balancing system performance.However

the traditional hybrid precoding scheme often needed to find a suitable codebook for precoding

and some codebooks were not easy to obtain or had deviations in actual situations.An analog-digital hybrid precoding method based on latent factor model (LFM) in machine learning without codebook was proposed for this problem.The LFM decomposition and stochastic gradient descent method were used to approximate the designed precoding matrix to the optimal full digital precoding matrix for good performance.The simulation results show that compared with the hybrid precoding design method based on orthogonal matching pursuit (OMP) algorithm

this method not only does not need a codebook

but also has better performance than the hybrid precoding algorithm based on OMP algorithm

which is closer to optimal full digital precoding method.

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Keywords

references

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