Hybrid precoding with sub-connected architecture for millimeter wave massive MIMO system

Haiyan CAO; Xiaohui YANG; Wenjuan HU; Zichang MA; Fangmin XU; Xin FANG

doi:10.11959/j.issn.1000-0801.2020029

您当前的位置：

首页 >

文章列表页 >

Hybrid precoding with sub-connected architecture for millimeter wave massive MIMO system

Research and Development | 更新时间：2024-06-05

- Hybrid precoding with sub-connected architecture for millimeter wave massive MIMO system
- Telecommunications Science Vol. 36, Issue 2, Pages: 35-42(2020)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2020029
  CLC： TN929.53
- Published Online：2020-02，
  
  Published：20 February 2020
- 稿件说明：
移动端阅览
Haiyan CAO, Xiaohui YANG, Wenjuan HU, et al. Hybrid precoding with sub-connected architecture for millimeter wave massive MIMO system[J]. Telecommunications science, 2020, 36(2): 35-42.
DOI：

Haiyan CAO, Xiaohui YANG, Wenjuan HU, et al. Hybrid precoding with sub-connected architecture for millimeter wave massive MIMO system[J]. Telecommunications science, 2020, 36(2): 35-42. DOI： 10.11959/j.issn.1000-0801.2020029.

摘要

针对发送端为部分连接、接收端为全数字接收的毫米波大规模MIMO系统，提出了一种采用等效信道的奇异值分解（SVD）设计数字预编码矩阵与数字合并矩阵，并根据模拟预编码矩阵的块对角化特性，以系统可达和速率最大化为目标函数将等效信道分块求得最优模拟预编码矩阵的预编码方案。考虑本方案的硬件成本与功耗问题，在此基础上进一步提出接收端为部分连接的预编码方案，并利用迭代交替更新的方法来求模拟预编码矩阵和模拟合并矩阵。仿真结果表明，接收端采用全数字接收的混合预编码方案相较于基于可持续干扰消除法（SIC）的混合预编码方案性能更优，而接收端采用部分连接的方案虽然性能略低于基于SIC的方案，但功耗与硬件成本大幅度降低。

Abstract

A hybrid precoding scheme in the millimeter wave massive MIMO system was proposed with sub-connected architecture at the transmitter and digital combining at the receiver.In this scheme

the digital precoder and combiner were designed based on the singular value decomposition (SVD) of the equivalent channel matrix

while the optimal analog precoder was obtained by blocking the equivalent channel to maximize spectral efficiency according to the block diagonalization.Considering the hardware cost and power consumption

the precoding scheme with sub-connected architecture at the receiver was further proposed.Otherwise

the analog precoder and combiner were iteratively updated.Simulation results show that the proposed scheme which focuses on the digital combining at the receiver has better performance than successive interference cancelation (SIC)-based hybrid precoding.In addition

though the proposed scheme which focuses on the hybrid combining with sub-connected architecture at the receiver has worse performance than SIC-based hybrid precoding

the power consumption and hardware cost are greatly reduced.

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 .

SUN S , RAPPAPORT T S , SHAFT M , et al . Hybrid beamforming for 5G millimeter-wave multi-cell networks [Z ] . 2018 .

HEATH R W , GONZALEZPRELCIC 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 .

SUN S , RAPPAPORT T S , HEATH W R , et al . Mimo for millimeter-wave wireless communications:beamforming,spatial multiplexing,or both? [J ] . IEEE Communications Magazine , 2014 , 52 ( 12 ): 110 - 121 .

ALKHATEEB A , MO J , GONZALEZPRELCIC N , et al . MIMO precoding and combining solutions for millimeter-wave systems [J ] . IEEE Communications Magazine , 2014 , 52 ( 12 ): 122 - 131 .

HAN S , CHIHLIN 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 .

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 .

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

GAO X , DAI L , HAN S , et al . Energy-efficient hybrid analog and digital precoding for mmWave MIMO systems with large antenna arrays [J ] . IEEE Journal on Selected Areas in Communications , 2016 , 34 ( 4 ): 998 - 1009 .

CUI M , ZOU W . Joint hybrid precoding based on orthogonal codebook in millimeter wave systems [C ] // International Symposium on Wireless Communication Systems,October 27-28,2018,Qulu,Finland.[S.l.:s.n] . 2018 : 1 - 6 .

LI A , MASOUROS C . Hybrid precoding and combining design for millimeter-wave multi-user MIMO based on SVD [C ] // International Conference on Communications,May 6-8,2017,Guangzhou,China.[S.l.:s.n] . 2017 : 1 - 6 .

ZHU J , LI Q . GLRAM algorithm based hybrid precoding for mmWave multiuser MIMO systems [C ] // Sensor Array and Multichannel Signal Processing Workshop,October 27-28,2018,Qulu,Finland.[S.l.:s.n] . 2018 : 70 - 74 .

RAGHAVAN V , SAYEED A M . Sublinear capacity scaling lawsfor sparse MIMO channels [J ] . IEEE Transactions on Information Theory , 2011 , 57 ( 1 ): 345 - 364 .

ALKHATEEB A , AYACH O E , 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 .

CUI M , ZOU W . Joint hybrid precoding based on orthogonal codebook in millimeter wave systems [C ] // International Symposium on Wireless Communication Systems,October 28-31,2018,Lisboa,Portugal.[S.l.:s.n] . 2018 : 1 - 6 .

Views

140

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Hybrid precoding method for mmWave massive MIMO systems based on LFM

Multi-user hybrid precoding design based on QR decomposition and beam gain alignment

Low complexity hybrid precoding algorithm for massive MIMO based on modified Newton method

Hybrid precoding method for millimeter-wave massive MIMO systems based on IAFS algorithm

Hybrid RZF precoding algorithm for mmWave massive MIMO system

Related Author

Haoyi CHEN

Yifan DING

Ying CHENG

ZHANG Tingting

CAO Haiyan

LI Bin

JI Yangrui

LING Haikun

Related Institution

School of Communications Engineering, Hangzhou Dianzi University

School of Information and Electronic Engineering, Zhejiang Gongshang University

Beijing University of Posts and Telecommunications

Research Institute of China Telecom Co., Ltd.

Institute of Applied Physics, Henan Academy of Sciences

⁰