Partially-Connected Hybrid Beamforming for Multi-User Massive MIMO Systems

Due to the high power consumption and hardware cost of radio frequency (RF) chains, the conventional fully-digital beamforming will be impractical for large-scale antenna systems (LSAS). To address this issue, hybrid beamforming has been proposed to reduce the number of RF chains. However, the fully...

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Main Authors: Guangda Zang, Lingna Hu, Feng Yang, Lianghui Ding, Hui Liu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9269982/
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author Guangda Zang
Lingna Hu
Feng Yang
Lianghui Ding
Hui Liu
author_facet Guangda Zang
Lingna Hu
Feng Yang
Lianghui Ding
Hui Liu
author_sort Guangda Zang
collection DOAJ
description Due to the high power consumption and hardware cost of radio frequency (RF) chains, the conventional fully-digital beamforming will be impractical for large-scale antenna systems (LSAS). To address this issue, hybrid beamforming has been proposed to reduce the number of RF chains. However, the fully-connected structure assumed in most hybrid beamforming schemes is still cost-intensive. Recently, the partially-connected structure employing notably fewer phase shifters has received considerable attention in both academia and industry. But the design of partially-connected hybrid beamforming has not been fully understood, especially in multi-user systems. In this article, we directly address the challenging non-convex non-smooth partially-connected hybrid beamforming design problem with individual signal-to-interference-plus-noise ratio (SINR) constraints and unit-modulus constraints in a multi-user massive multiple-input multiple-output (MIMO) system. An iterative alternating algorithm based on a penalty method is proposed to obtain a stationary point, which inevitably has relatively high computational complexity. Thus, two low-complexity algorithms are then proposed by utilizing matrix approximation. Numerical results demonstrate significant performance gains of the proposed algorithms over existing hybrid beamforming algorithms. Moreover, the proposed low-complexity algorithms can achieve near-optimal performance with dramatically reduced computational complexity.
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spelling doaj.art-3e5741a4db96421ea16ad29ccd660ac92022-12-21T23:28:47ZengIEEEIEEE Access2169-35362020-01-01821528721529810.1109/ACCESS.2020.30405089269982Partially-Connected Hybrid Beamforming for Multi-User Massive MIMO SystemsGuangda Zang0https://orcid.org/0000-0003-0844-8507Lingna Hu1Feng Yang2https://orcid.org/0000-0002-6350-5765Lianghui Ding3https://orcid.org/0000-0002-3231-3613Hui Liu4https://orcid.org/0000-0003-2948-8217Institute of Wireless Communications, Shanghai Jiao Tong University, Shanghai, ChinaShanghai Institute of Satellite Engineering, Shanghai, ChinaInstitute of Wireless Communications, Shanghai Jiao Tong University, Shanghai, ChinaInstitute of Image Communications and Network Engineering, Shanghai Jiao Tong University, Shanghai, ChinaInstitute of Wireless Communications, Shanghai Jiao Tong University, Shanghai, ChinaDue to the high power consumption and hardware cost of radio frequency (RF) chains, the conventional fully-digital beamforming will be impractical for large-scale antenna systems (LSAS). To address this issue, hybrid beamforming has been proposed to reduce the number of RF chains. However, the fully-connected structure assumed in most hybrid beamforming schemes is still cost-intensive. Recently, the partially-connected structure employing notably fewer phase shifters has received considerable attention in both academia and industry. But the design of partially-connected hybrid beamforming has not been fully understood, especially in multi-user systems. In this article, we directly address the challenging non-convex non-smooth partially-connected hybrid beamforming design problem with individual signal-to-interference-plus-noise ratio (SINR) constraints and unit-modulus constraints in a multi-user massive multiple-input multiple-output (MIMO) system. An iterative alternating algorithm based on a penalty method is proposed to obtain a stationary point, which inevitably has relatively high computational complexity. Thus, two low-complexity algorithms are then proposed by utilizing matrix approximation. Numerical results demonstrate significant performance gains of the proposed algorithms over existing hybrid beamforming algorithms. Moreover, the proposed low-complexity algorithms can achieve near-optimal performance with dramatically reduced computational complexity.https://ieeexplore.ieee.org/document/9269982/Massive MIMOhybrid beamformingSINR constraintspenalty methodpenalty dual decomposition
spellingShingle Guangda Zang
Lingna Hu
Feng Yang
Lianghui Ding
Hui Liu
Partially-Connected Hybrid Beamforming for Multi-User Massive MIMO Systems
IEEE Access
Massive MIMO
hybrid beamforming
SINR constraints
penalty method
penalty dual decomposition
title Partially-Connected Hybrid Beamforming for Multi-User Massive MIMO Systems
title_full Partially-Connected Hybrid Beamforming for Multi-User Massive MIMO Systems
title_fullStr Partially-Connected Hybrid Beamforming for Multi-User Massive MIMO Systems
title_full_unstemmed Partially-Connected Hybrid Beamforming for Multi-User Massive MIMO Systems
title_short Partially-Connected Hybrid Beamforming for Multi-User Massive MIMO Systems
title_sort partially connected hybrid beamforming for multi user massive mimo systems
topic Massive MIMO
hybrid beamforming
SINR constraints
penalty method
penalty dual decomposition
url https://ieeexplore.ieee.org/document/9269982/
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AT lingnahu partiallyconnectedhybridbeamformingformultiusermassivemimosystems
AT fengyang partiallyconnectedhybridbeamformingformultiusermassivemimosystems
AT lianghuiding partiallyconnectedhybridbeamformingformultiusermassivemimosystems
AT huiliu partiallyconnectedhybridbeamformingformultiusermassivemimosystems