毫米波MIMO系统中高频谱效率的混合预编码算法

周围; 杨秋艳

doi:10.13756/j.gtxyj.2022.04.013

您当前的位置：

首页 >

文章列表页 >

毫米波MIMO系统中高频谱效率的混合预编码算法

无线通信技术 | 更新时间：2022-08-01

- 毫米波MIMO系统中高频谱效率的混合预编码算法
- Hybrid Precoding Algorithm for High Spectral Efficiency in mm-Wave MIMO Systems
- 光通信研究 2022年第4期页码：63-68
- 作者机构：
  
  a.重庆邮电大学　通信与信息工程学院，重庆　400065
  b.重庆邮电大学　移动通信技术重庆市重点实验室，重庆　400065
- 作者简介：
  
  周围（1971-），男，重庆合川人。教授，博士，主要研究方向为通信系统及信号处理和智能天线设计。
  杨秋艳，硕士。E-mail：1241495824@qq.com
- 基金信息：
  
  国家自然科学基金资助项目(61701062)
- DOI：10.13756/j.gtxyj.2022.04.013
  中图分类号： TN92
- 纸质出版日期：2022-08-10，
  
  收稿日期：2021-10-10，
扫描看全文
周围, 杨秋艳. 毫米波MIMO系统中高频谱效率的混合预编码算法[J]. 光通信研究, 2022,(4):63-68.

ZHOU Wei, YANG Qiu-yan. Hybrid Precoding Algorithm for High Spectral Efficiency in mm-Wave MIMO Systems[J]. Study on Optical Communications, 2022,(4):63-68.
周围, 杨秋艳. 毫米波MIMO系统中高频谱效率的混合预编码算法[J]. 光通信研究, 2022,(4):63-68. DOI： 10.13756/j.gtxyj.2022.04.013.

ZHOU Wei, YANG Qiu-yan. Hybrid Precoding Algorithm for High Spectral Efficiency in mm-Wave MIMO Systems[J]. Study on Optical Communications, 2022,(4):63-68. DOI： 10.13756/j.gtxyj.2022.04.013.

摘要

为进一步提高毫米波大规模多输入多输出（MIMO）系统中混合预编码的频谱效率，文章提出了一种基于梯度下降的交替最小化（GD-AltMin）混合预编码算法。首先利用信道矩阵的右奇异矢量初始化模拟预编码矩阵；接着通过最小二乘准则和梯度下降法分别更新数字和模拟预编码矩阵；之后在交替最小化原则下，迭代更新数字和模拟预编码矩阵直到满足精度条件，获得最佳的数字和模拟预编码矩阵。通过理论分析和数值仿真，对比了几种经典算法在不同信噪比、射频链数以及收发天线数下的频谱效率。仿真结果表明，所提算法比基于相位提取的交替最小化算法和基于信道奇异值分解的算法更接近最优无约束预编码器的频谱效率，尤其在射频链数大于数据流数的情况下更加明显。

Abstract

In mm-wave massive Multiple Input Multiple Output (MIMO) systems

in order to further improve the spectral efficiency of hybrid precoding in fully connected structure

an Alternate Minimization based on Gradient Descent (GD-AltMin) hybrid precoding algorithm is proposed. Firstly

the right singular vector of the channel matrix is used to initialize the analog precoding matrix. Secondly

digital and analog precoding matrices are updated by least square criterion and gradient descent method respectively. Then

under the principle of alternating minimization

the digital and analog precoding matrices are updated iteratively until the optimal digital and analog precoding matrices are obtained. Through theoretical analysis and numerical simulation

the spectral efficiency of several classical algorithms are compared under different signal-to-noise-ratio

number of radio frequency links and number of transmitting antennas. The results show that the spectral efficiency of the proposed algorithm is closer to the optimal unconstrained precoding algorithm than alternate minimization algorithm using phase extraction and channel singular value decomposition algorithm

especially when the number of radio frequency links is greater than the number of data streams.

关键词

毫米波大规模多输入多输出混合预编码梯度下降法交替最小化

Keywords

mm-wave massive MIMOhybrid precodinggradient descentalternating minimization

references

Busari S A, Huq K M S, Mumtaz S, et al. Millimeter-Wave Massive MIM O Communication for Future Wireless Systems:A Survey[J]. IEEE Communications Surveys&Tutorials, 2018, 20(2):836-869.

Zhang D, Wang Y, Li X, et al. Hybridly Connected Structure for Hybrid Beamforming in mmWave Massive MIMO Systems[J]. IEEE Transaction on Communications, 2018, 66(2):662-674.

张钰, 赵雄文. 毫米波大规模MIMO系统中的预编码技术[J]. 中兴通讯技术, 2018, 24(3):26-31.

Liu X, Li X, Deng Q, et al. Hybrid Precoding for Massive mm Wave MIMO Systems[J]. IEEE Access, 2019, 7:33577-33586.

Ding Q, Deng Y, Gao X, et al. Hybrid Precoding for mmWave Massive MIMO Systems with Different Antenna Arrays[J]. China Communications, 2019, 16(10):45-55.

Buzzi S, Andrea C D, Foggi T, et al. Single-carrier Modulation Versus OFDM for Millimeter-wave Wireless MIMO[J]. IEEE Transactions on Communications, 2018, 66(3):1335-1348.

Li N, Wei Z, Yang H, et al. Hybrid Precoding for mm-Wave Massive MIMO Systems with Partially Connected Structure[J]. IEEE Access, 2017, 5:15142-15151.

Ayach O E, Rajagopal S, Abu-Surra S, et al. Spatially Sparse Precoding in Millimeter Wave MIMO Sys-tems[J]. IEEE Transactions on Wireless Communications, 2014, 13(3):1499-1513.

Yu X, Shen J C, Zhang J, et al. Alternating Minimization Algorithms for Hybrid Precoding in Millimeter Wave MIMO Systems[J]. IEEE Journal of Selected Topics in Signal Processing, 2016, 10(3):485-500.

Rohatgi A, Rawat M. Modified Low Complexity Precoding Algorithm for Millimeter Wave MIMO Systems[C]//2018 Second International Conference on Intelligent Computing and Control Systems(ICICCS). Madurai, India: IEEE, 2018: 8662941.

Zhang D, Pan P, You R, et al. SVD-based Low-complexity Hybrid Precoding for Millimeter-wave MIMO Systems[J]. IEEE Communications Letters, 2018, 22(10):2176-2179.

Cui M, Zou W. Low Complexity Joint Hybrid Precoding for Millimeter Wave MIMO Systems[J]. China Communications, 2019, 16(2):49-58.

Huang W, Si Q, Jin M. Alternating Optimization based Low Complexity Hybrid Precoding in Millimeter Wave MIMO Systems[J]. IEEE Communications Letters, 2020, 24(3):635-638.

Wang Y, Zou W. Hybrid Digital and Analog Precoding Algorithm for Millimeter Wave MIMO Systems[C]//2019 IEEE Wireless Communications and Networking Conference Workshop(WCNCW). Marrakech, Morocco: IEEE, 2019: 8902849.

更多指标>

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于IR的部分相干信道估计算法

一种新的迫零自适应混合预编码算法

毫米波MIMO系统中混合预编码算法研究