Near-Optimal Design for Hybrid Beamforming in mmWave Massive Multi-User MIMO Systems

Millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems can obtain sufficient beamforming gains to combat severe path loss in signal propagation. The hybrid (analog/digital) beamforming with multiple data streams can be utilized to further improve mmWave spectral efficiency. I...

Full description

Bibliographic Details
Main Authors: Yang Zhang, Jianhe Du, Yuanzhi Chen, Xingwang Li, Khaled M. Rabie, Rupak Kharel
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9139961/
id doaj-ed931d660be94312865938edac7298c0
record_format Article
spelling doaj-ed931d660be94312865938edac7298c02021-03-30T04:40:07ZengIEEEIEEE Access2169-35362020-01-01812915312916810.1109/ACCESS.2020.30092389139961Near-Optimal Design for Hybrid Beamforming in mmWave Massive Multi-User MIMO SystemsYang Zhang0https://orcid.org/0000-0001-7246-8794Jianhe Du1https://orcid.org/0000-0002-7538-8818Yuanzhi Chen2Xingwang Li3https://orcid.org/0000-0002-0907-6517Khaled M. Rabie4https://orcid.org/0000-0002-9784-3703Rupak Kharel5https://orcid.org/0000-0002-8632-7439School of Information and Communication Engineering, Communication University of China, Beijing, ChinaSchool of Information and Communication Engineering, Communication University of China, Beijing, ChinaSchool of Information and Communication Engineering, Communication University of China, Beijing, ChinaSchool of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, ChinaDepartment of Engineering, Manchester Metropolitan University, Manchester, U.K.Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, U.K.Millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems can obtain sufficient beamforming gains to combat severe path loss in signal propagation. The hybrid (analog/digital) beamforming with multiple data streams can be utilized to further improve mmWave spectral efficiency. In this paper, we focus on the hybrid beamforming design of a downlink mmWave massive multi-user MIMO (MU-MIMO) system based on full-connected structure, and aim to maximize the sum rate of the overall system as an objective function. In the analog beamforming stage, a piecewise successive iterative approximation (PSIA) algorithm is proposed to design the analog beamformer and combiner. This algorithm not only has a linear property, but also can obtain closed-form solutions. In the digital beamforming stage, the piecewise successive approximation method is utilized to design the digital beamforming based on the criterion to avoid the loss of information, which can help reduce the computational complexity and is also implemented simply. The results show that the proposed scheme achieves good sum-rate performance in the mmWave massive MU-MIMO system, and outperforms the state-of-the art MIMO hybrid beamforming design schemes, even when the number of base station antennas is not very large.https://ieeexplore.ieee.org/document/9139961/Millimeter wavemassive MIMOmulti-userhybrid beamformingsum rate
collection DOAJ
language English
format Article
sources DOAJ
author Yang Zhang
Jianhe Du
Yuanzhi Chen
Xingwang Li
Khaled M. Rabie
Rupak Kharel
spellingShingle Yang Zhang
Jianhe Du
Yuanzhi Chen
Xingwang Li
Khaled M. Rabie
Rupak Kharel
Near-Optimal Design for Hybrid Beamforming in mmWave Massive Multi-User MIMO Systems
IEEE Access
Millimeter wave
massive MIMO
multi-user
hybrid beamforming
sum rate
author_facet Yang Zhang
Jianhe Du
Yuanzhi Chen
Xingwang Li
Khaled M. Rabie
Rupak Kharel
author_sort Yang Zhang
title Near-Optimal Design for Hybrid Beamforming in mmWave Massive Multi-User MIMO Systems
title_short Near-Optimal Design for Hybrid Beamforming in mmWave Massive Multi-User MIMO Systems
title_full Near-Optimal Design for Hybrid Beamforming in mmWave Massive Multi-User MIMO Systems
title_fullStr Near-Optimal Design for Hybrid Beamforming in mmWave Massive Multi-User MIMO Systems
title_full_unstemmed Near-Optimal Design for Hybrid Beamforming in mmWave Massive Multi-User MIMO Systems
title_sort near-optimal design for hybrid beamforming in mmwave massive multi-user mimo systems
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description Millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems can obtain sufficient beamforming gains to combat severe path loss in signal propagation. The hybrid (analog/digital) beamforming with multiple data streams can be utilized to further improve mmWave spectral efficiency. In this paper, we focus on the hybrid beamforming design of a downlink mmWave massive multi-user MIMO (MU-MIMO) system based on full-connected structure, and aim to maximize the sum rate of the overall system as an objective function. In the analog beamforming stage, a piecewise successive iterative approximation (PSIA) algorithm is proposed to design the analog beamformer and combiner. This algorithm not only has a linear property, but also can obtain closed-form solutions. In the digital beamforming stage, the piecewise successive approximation method is utilized to design the digital beamforming based on the criterion to avoid the loss of information, which can help reduce the computational complexity and is also implemented simply. The results show that the proposed scheme achieves good sum-rate performance in the mmWave massive MU-MIMO system, and outperforms the state-of-the art MIMO hybrid beamforming design schemes, even when the number of base station antennas is not very large.
topic Millimeter wave
massive MIMO
multi-user
hybrid beamforming
sum rate
url https://ieeexplore.ieee.org/document/9139961/
work_keys_str_mv AT yangzhang nearoptimaldesignforhybridbeamforminginmmwavemassivemultiusermimosystems
AT jianhedu nearoptimaldesignforhybridbeamforminginmmwavemassivemultiusermimosystems
AT yuanzhichen nearoptimaldesignforhybridbeamforminginmmwavemassivemultiusermimosystems
AT xingwangli nearoptimaldesignforhybridbeamforminginmmwavemassivemultiusermimosystems
AT khaledmrabie nearoptimaldesignforhybridbeamforminginmmwavemassivemultiusermimosystems
AT rupakkharel nearoptimaldesignforhybridbeamforminginmmwavemassivemultiusermimosystems
_version_ 1724181491538198528