毫米波MIMO系统中迭代最小均方误差混合波束成形算法

申敏; 徐浩; 何云; 周朋光

doi:10.11959/j.issn.1000-0801.2017205

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毫米波MIMO系统中迭代最小均方误差混合波束成形算法

研究与开发 | 更新时间：2024-06-05

- 毫米波MIMO系统中迭代最小均方误差混合波束成形算法
- Alternating minimum mean square error hybrid beamforming algorithm in mmWave MIMO system
- 电信科学 2017年33卷第8期页码：77-84
- 作者机构：
  
  1. 重庆邮电大学通信与信息工程学院，重庆 400065
  2. 重庆邮电大学新一代宽带移动通信重点实验室，重庆 400065
- 作者简介：
  
  [ "申敏（1963-），女，重庆邮电大学通信与信息工程学院教授、博士生导师，主要研究方向为新一代宽带移动通信系统、通信核心芯片、协议与系统应用技术。" ]
  [ "徐浩（1992-），男，重庆邮电大学通信与信息工程学院硕士生，主要研究方向为毫米波MIMO系统中混合波束成形技术。" ]
  [ "何云（1979-），女，重庆邮电大学新一代宽带移动通信重点实验室工程师，主要研究方向为新一代宽带移动通信系统。" ]
  [ "周朋光（1992-），男，重庆邮电大学通信与信息工程学院硕士生，主要研究方向为超密集网络技术。" ]
- 基金信息：
  
  国家科技重大专项基金资助项目;The National Science and Technology Major Project of China(2016ZX03002010-003)
- DOI：10.11959/j.issn.1000-0801.2017205
  中图分类号： TN929.5
- 网络出版日期：2017-08，
  
  纸质出版日期：2017-08-15
- 稿件说明：
移动端阅览
申敏, 徐浩, 何云, 等. 毫米波MIMO系统中迭代最小均方误差混合波束成形算法[J]. 电信科学, 2017,33(8):77-84.

Min SHEN, Hao XU, Yun HE, et al. Alternating minimum mean square error hybrid beamforming algorithm in mmWave MIMO system[J]. Telecommunications science, 2017, 33(8): 77-84.
申敏, 徐浩, 何云, 等. 毫米波MIMO系统中迭代最小均方误差混合波束成形算法[J]. 电信科学, 2017,33(8):77-84. DOI： 10.11959/j.issn.1000-0801.2017205.

Min SHEN, Hao XU, Yun HE, et al. Alternating minimum mean square error hybrid beamforming algorithm in mmWave MIMO system[J]. Telecommunications science, 2017, 33(8): 77-84. DOI： 10.11959/j.issn.1000-0801.2017205.

摘要

混合波束成形结构能有效解决毫米波MIMO系统中射频链路受限的问题，但要设计性能较优的混合波束成形算法仍然存在困难。为了实现更高的频谱利用率，提出了一种性能较优的迭代最小均方误差（Alt-MMSE）混合波束成形算法。该算法利用数字矩阵的正交特性，首先进行初始数字矩阵设计，然后通过最小化发送信号与接收信号的均方误差不断迭代更新数字矩阵，在每一次迭代过程中，通过更新后的数字矩阵得到模拟矩阵的相位信息。仿真结果表明，与OMP混合波束成形算法和基于矩阵分解的混合处理方案相比，该算法具有更优的性能且更接近于纯数字波束成形。

Abstract

The two-stage hybrid beamforming architecture can solve the problem of limited number of RF chains effectively.However

it is still difficult to design a hybrid beamforming algorithm with better performance.In order to achieve higher spectral efficiency

an alternating minimum mean square error (Alt-MMSE) hybrid beamforming algorithm was proposed.Firstly

the initial digital matrix by using the orthogonal properties of the digital matrix was designed

and then the digital matrix by minimizing the square error of the transmitted signal and the received signal was updated.During each iteration

the phase of the analog matrix could be obtained from the updated digital matrix and the optimal fully digital matrix.The simulation results show that the proposed algorithm has better performance and is closer to fully digital beamforming than OMP hybrid beamforming algorithm and hybrid processing scheme based on matrix decomposition .

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references

ANDREWS J G , BUZZI S , WAN C , et al . What will 5G be? [J ] . IEEE Journal on Selected Areas in Communications , 2014 , 32 ( 6 ): 1065 - 1082 .

YONG S K , CHONG C C . An overview of multigigabit wireless through millimeter wave technology [J ] . EURASIP Journal on Wireless Communications and Networking , 2007 ( 1 ): 1 - 10 .

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

CHOUDHURY D , . 5G wireless and millimeter wave technology evolution:an overview [C ] // 2015 IEEE MTT-S International Microwave Symposium,May 17-22,2015,Phoenix,SA,USA . New Jersey:IEEE Press , 2015 : 1 - 4 .

HAN S,CHIH-LIN I , XU Z , et al . Large-scale antenna systems with hybrid analog and digital beamforming for millimeter wave 5G [J ] . IEEE Communications Magazine , 2015 , 53 ( 1 ): 186 - 194 .

KWON G , SHIM Y , PARK H , et al . Design of millimeter wave hybrid beamforming systems [C ] // 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall),September 14-17,2014,Vancouver,Canada . New Jersey:IEEE Press , 2014 : 1 - 5 .

EL A O , RAJAGOPAL S,ABU-SURRA S , et al . Spatially sparse precoding in millimeter wave MIMO systems [J ] . IEEE Transactions on Wireless Communications , 2013 , 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 ):1.

TSANG Y M , POON A S Y , ADDEPALLI S . Coding the beams:improving beamforming training in mmWave communication system [C ] // IEEE Global Telecommunications Conference,December 5-9,2011,Houston,TX,USA . New Jersey:IEEE Press , 2011 : 1 - 6 .

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 .

NI W . Practical system implementation for 5G wireless communication systems [D ] . Victoria:University of Victoria , 2015 .

SINGH J , RAMAKRISHNA S . On the feasibility of code book-based beamforming in millimeter wave systems with multiple antenna arrays [J ] . IEEE Transactions on Wireless Communications , 2014 , 14 ( 5 ): 2670 - 2683 .

DAI L , GAO X , QUAN J , et al . Near-optimal hybrid analog and digital precoding for downlink mmWave massive MIMO systems [C ] // 2015 IEEE International Conference on Communications (ICC),June 8-12,2015,London,UK . New Jersey:IEEE Press , 2015 : 1334 - 1339 .

赵雄文 , 高波 . MIMO 信道仿真模型比较及其验证 [J ] . 电信科学 , 2016 , 32 ( 2 ): 75 - 82 .

ZHAO X W , GAO B . Comparisons and validations on MIMO channel simulation models [J ] . Telecommunications Science , 2016 , 32 ( 2 ): 75 - 82 .

CORMEN T H , LEISERSON C E , RIVEST R L , et al . Introduction to algorithms,second edition [M ] . Beijing : DBLPPress , 2001 .

向建伟 , 于秀兰 , 景小荣 . 毫米波大规模 MIMO 系统中低复杂度混合预编码方法 [J ] . 电信科学 , 2016 , 32 ( 9 ): 10 - 15 .

XIANG J W , YU X L , JING X R . Low complexity hybrid precoding method in mmWave massive MIMO system [J ] . Telecommunications Science , 2016 , 32 ( 9 ): 10 - 15 .

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