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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IEEE
2020-01-01
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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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format | Article |
id | doaj.art-3e5741a4db96421ea16ad29ccd660ac9 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-13T22:44:07Z |
publishDate | 2020-01-01 |
publisher | IEEE |
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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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