毫米波MIMO系统中基于自适应梯度算法的混合预编码

张煜; 张治; 董晓岱

doi:10.11959/j.issn.1000-436x.2021207

您当前的位置：

首页 >

文章列表页 >

毫米波MIMO系统中基于自适应梯度算法的混合预编码

学术论文 | 更新时间：2024-06-05

- 毫米波MIMO系统中基于自适应梯度算法的混合预编码
- Adaptive gradient algorithm for hybrid precoding in mmWave MIMO system
- 通信学报 2021年42卷第10期页码：95-105
- 作者机构：
  
  1. 北京邮电大学信息与通信工程学院，北京 100876
  2. 维多利亚大学电子与计算机工程学院，维多利亚 V8W 3P6
- 作者简介：
  
  [ "张煜（1992- ），男，山东滨州人，北京邮电大学博士生，主要研究方向为大规模MIMO、混合预编码" ]
  [ "张治（1977- ），男，河北安平人，博士，北京邮电大学教授、博士生导师，主要研究方向为无线信号智能检测与高效通信的相关理论、关键技术与系统设计等" ]
  [ "董晓岱（1970- ），女，河南洛阳人，博士，维多利亚大学教授、博士生导师，主要研究方向为 5G、毫米波通信、太赫兹通信等" ]
- 基金信息：
  
  国家重点研发计划基金资助项目(2019YFC1511302);国家自然科学基金资助项目(61629101)
- DOI：10.11959/j.issn.1000-436x.2021207
  中图分类号： TN92
- 网络出版日期：2021-10，
  
  纸质出版日期：2021-10-25
- 稿件说明：
移动端阅览
张煜, 张治, 董晓岱. 毫米波MIMO系统中基于自适应梯度算法的混合预编码[J]. 通信学报, 2021,42(10):95-105.

Yu ZHANG, Zhi ZHANG, Xiaodai DONG. Adaptive gradient algorithm for hybrid precoding in mmWave MIMO system[J]. Journal on communications, 2021, 42(10): 95-105.
张煜, 张治, 董晓岱. 毫米波MIMO系统中基于自适应梯度算法的混合预编码[J]. 通信学报, 2021,42(10):95-105. DOI： 10.11959/j.issn.1000-436x.2021207.

Yu ZHANG, Zhi ZHANG, Xiaodai DONG. Adaptive gradient algorithm for hybrid precoding in mmWave MIMO system[J]. Journal on communications, 2021, 42(10): 95-105. DOI： 10.11959/j.issn.1000-436x.2021207.

摘要

为了降低毫米波MIMO系统中现有交替最小混合预编码算法和基于动量梯度下降的在线学习混合预编码方案的复杂度，针对单用户通信场景，重新考虑混合预编码器的设计问题，提出一种等效的单隐藏层神经网络架构。在该架构下，数字预编码矩阵和模拟预编码矩阵的每一个组成元素可等效为单隐藏层神经网络的连接权值，其最优解可通过神经网络中的权值训练方法获得。在此基础上，结合反向传播算法，提出一种基于自适应梯度反向传播的混合预编码机制。进一步地，将所提算法扩展到多用户通信场景。仿真结果表明，在单用户场景和多用户场景下，所提算法可实现的频谱效率均接近全数字预编码，同时复杂度低于现有的基于交替最小的混合预编码算法和基于动量梯度下降的在线学习混合预编码方案。

Abstract

To reduce the complexity of existing hybrid precoding algorithms based on alternating minimization (AltMin) and online learning via gradient descent with momentum in mmWave MIMO systems

aiming at the single-user scenario

the problem of designing the hybrid precoder was reconsidered and an equivalent single hidden layer neural network was proposed.Under the new architecture

the elements of the digital and analog precoder were equivalent to the connecting weights of a single hidden layer neural network

and their optimal solution could be obtained via the weights training method.Inspired by the back propagation (BP) algorithm in feed forward neural networks

an adaptive gradient (AG)-based BP algorithm for hybrid precoding was proposed.Furthermore

the proposed algorithm was extended to the multi-user scenario.The numerical results show that the proposed algorithm achieves approximately the same spectral efficiency as the fully-digital precoding in both the single-user and multi-user scenarios

while has lower complexity than the existing AltMin-based hybrid precoding algorithms and online learning hybrid precoding based on gradient descent with momentum.

关键词

Keywords

references

RAPPAPORT T S , SUN S , MAYZUS R , et al . Millimeter wave mobile communications for 5G cellular:it will work! [J ] . IEEE Access , 2013 , 1 : 335 - 349 .

ROH W , SEOL J Y , PARK J , et al . Millimeter-wave beamforming as an enabling technology for 5G cellular communications:theoretical feasibility and prototype results [J ] . IEEE Communications Magazine , 2014 , 52 ( 2 ): 106 - 113 .

SHAFI M , MOLISCH A F , SMITH P J , et al . 5G:a tutorial overview of standards,trials,challenges,deployment,and practice [J ] . IEEE Journal on Selected Areas in Communications , 2017 , 35 ( 6 ): 1201 - 1221 .

RANGAN S , RAPPAPORT T S , ERKIP E . Millimeter-wave cellular wireless networks:potentials and challenges [J ] . Proceedings of the IEEE , 2014 , 102 ( 3 ): 366 - 385 .

SALOUS S , ESPOSTI V D , FUSCHINI F , et al . Millimeter-wave propagation:characterization and modeling toward fifth-generation systems [J ] . IEEE Antennas and Propagation Magazine , 2016 , 58 ( 6 ): 115 - 127 .

HEATH R W , GONZÁLEZ-PRELCIC N , RANGAN S , et al . An overview of signal processing techniques for millimeter wave MIMO systems [J ] . IEEE Journal of Selected Topics in Signal Processing , 2016 , 10 ( 3 ): 436 - 453 .

AYACH O E , RAJAGOPAL S , ABU-SURRA S , , et al . Spatially sparse precoding in millimeter wave MIMO systems [J ] . IEEE Transactions on Wireless Communications , 2014 , 13 ( 3 ): 1499 - 1513 .

LEE Y Y , WANG C H , HUANG Y H . A hybrid RF/baseband precoding processor based on parallel-index-selection matrix-inversion- bypass simultaneous orthogonal matching pursuit for millimeter wave MIMO systems [J ] . IEEE Transactions on Signal Processing , 2015 , 63 ( 2 ): 305 - 317 .

ZHANG Y , HUANG Y Z , QIN X Q , et al . Low complexity hybrid precoding based on ORLS for mmWave massive MIMO systems [C ] // Proceedings of 2018 IEEE Wireless Communications and Networking Conference (WCNC) . Piscataway:IEEE Press , 2018 : 1 - 6 .

HUNG W L , CHEN C H , LIAO C C , et al . Low-complexity hybrid precoding algorithm based on orthogonal beamforming codebook [C ] // Proceedings of 2015 IEEE Workshop on Signal Processing Systems (SiPS) . Piscataway:IEEE Press , 2015 : 1 - 5 .

廖勇 , 杨馨怡 , 杜洁汝 . 基于两阶段的毫米波大规模MIMO低复杂度混合预编码算法 [J ] . 电子学报 , 2021 , 49 ( 7 ): 1298 - 1304 .

LIAO Y , YANG X Y , DU J R . A two-stage based low complexity hy-brid precoding algorithm for millimeter-wave massive MIMO [J ] . Acta Electronica Sinica , 2021 , 49 ( 7 ): 1298 - 1304 .

刘剑飞 , 何利平 , 陶颖 , 等 . 大规模MIMO系统中低复杂度的码本搜索方法 [J ] . 通信学报 , 2019 , 40 ( 1 ): 79 - 86 .

LIU J F , HE L P , TAO Y , et al . Low complexity codebook search me-thod in massive MIMO system [J ] . Journal on Communications , 2019 , 40 ( 1 ): 79 - 86 .

YU X H , 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 .

NI W H , DONG X D , LU W S . Near-optimal hybrid processing for massive MIMO systems via matrix decomposition [J ] . IEEE Transactions on Signal Processing , 2017 , 65 ( 15 ): 3922 - 3933 .

MULLA M , ULUSOY A H , RIZANER A , et al . Barzilai-borwein gradient algorithm based alternating minimization for single user millimeter wave systems [J ] . IEEE Wireless Communications Letters , 2020 , 9 ( 4 ): 508 - 512 .

CHEN J C . Gradient projection-based alternating minimization algorithm for designing hybrid beamforming in millimeter-wave MIMO systems [J ] . IEEE Communications Letters , 2019 , 23 ( 1 ): 112 - 115 .

RUSU C , MÈNDEZ-RIAL R , GONZÁLEZ-PRELCIC N . Low complexity hybrid precoding strategies for millimeter wave communication systems [J ] . IEEE Transactions on Wireless Communications , 2016 , 15 ( 12 ): 8380 - 8393 .

ALKHATEEB A , LEUS G , HEATH R W . Limited feedback hybrid precoding for multi-user millimeter wave systems [J ] . IEEE Transactions on Wireless Communications , 2015 , 14 ( 11 ): 6481 - 6494 .

NGUYEN D H N , LE L B , LE-NGOC T . Hybrid MMSE precoding for mmWave multiuser MIMO systems [C ] // Proceedings of 2016 IEEE International Conference on Communications (ICC) . Piscataway:IEEE Press , 2016 : 1 - 6 .

NI W H , DONG X D . Hybrid block diagonalization for massive multiuser MIMO systems [J ] . IEEE Transactions on Communications , 2016 , 64 ( 1 ): 201 - 211 .

HUANG H J , SONG Y W , YANG J , et al . Deep-learning-based millimeter-wave massive MIMO for hybrid precoding [J ] . IEEE Transactions on Vehicular Technology , 2019 , 68 ( 3 ): 3027 - 3032 .

CHEN K , YANG J , GE X H , et al . Complex-BP-neural-network-based hybrid precoding for millimeter wave multiuser massive MIMO systems [C ] // Proceedings of 2019 Computing,Communications and IoT Applications (ComComAp) . Piscataway:IEEE Press , 2019 : 100 - 105 .

SIDHARTH C , HIREMATH S M , PATRA S K . Deep learning based hybrid precoding for mmwave massive MIMO system using comcepnet [C ] // Proceedings of 2020 International Conference on Communication and Signal Processing (ICCSP) . Piscataway:IEEE Press , 2020 : 1317 - 1321 .

BAO X L , FENG W J , ZHENG J L , et al . Deep CNN and equivalent channel based hybrid precoding for mmWave massive MIMO systems [J ] . IEEE Access , 2020 , 8 : 19327 - 19335 .

ELBIR A M . A deep learning framework for hybrid beamforming without instantaneous CSI feedback [J ] . IEEE Transactions on Vehicular Technology , 2020 , 69 ( 10 ): 11743 - 11755 .

ELBIR A M , PAPAZAFEIROPOULOS A K . Hybrid precoding for multiuser millimeter wave massive MIMO systems:a deep learning approach [J ] . IEEE Transactions on Vehicular Technology , 2020 , 69 ( 1 ): 552 - 563 .

CHAI M Y , TANG S H , ZHAO M , et al . HPNet:a compressed neural network for robust hybrid precoding in multi-user massive MIMO systems [C ] // Proceedings of GLOBECOM 2020 - 2020 IEEE Global Communications Conference . Piscataway:IEEE Press , 2020 : 1 - 7 .

MA W Y , QI C H , ZHANG Z C , et al . Sparse channel estimation and hybrid precoding using deep learning for millimeter wave massive MIMO [J ] . IEEE Transactions on Communications , 2020 , 68 ( 5 ): 2838 - 2849 .

章坚武 , 王路鑫 , 孙玲芬 , 等 . 人工智能在 5G 系统中的应用综述 [J ] . 电信科学 , 2021 , 37 ( 5 ): 14 - 31 .

ZHANG J W , WANG L X , SUN L F , et al . An survey on application of artificial intelligence in 5G system [J ] . Telecommunications Science , 2021 , 37 ( 5 ): 14 - 31 .

ALKHATEEB A , EL AYACH O , LEUS G , et al . Channel estimation and hybrid precoding for millimeter wave cellular systems [J ] . IEEE Journal of Selected Topics in Signal Processing , 2014 , 8 ( 5 ): 831 - 846 .

LEUNG H , HAYKIN S . The complex backpropagation algorithm [J ] . IEEE Transactions on Signal Processing , 1991 , 39 ( 9 ): 2101 - 2104 .

DUCHI J , HAZAN E , SINGER Y . Adaptive subgradient methods for online learning and stochastic optimization [J ] . Journal of Machine Learning Research , 2011 , 12 : 2121 - 2159 .

SOHRABI F , YU W . Hybrid digital and analog beamforming design for large-scale antenna arrays [J ] . IEEE Journal of Selected Topics in Signal Processing , 2016 , 10 ( 3 ): 501 - 513 .

浏览量

571

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于时延线阵列的毫米波NOMA系统混合预编码设计和功率分配

基于阵列的神经网络水声通信信号多参数联合估计算法

基于神经网络的恶意DNS流量检测方法

低导频开销RIS辅助毫米波MIMO系统参数化信道估计方案

基于可见光和射频融合的通信定位一体化系统