Hybrid Beamforming for Multi-User Millimeter-Wave Heterogeneous Networks
Millimeter-wave (mmWave) communications are a critical technique with next-generation network characteristics such as ultra-dense small cells can meet the skyrocketing demand for mobile data. Hybrid precoding, which combines analog and digital processing to provide both spatial diversity gains and b...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/11/24/4221 |
| _version_ | 1797460015084208128 |
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| author | Zhannan Li Tao Chen |
| author_facet | Zhannan Li Tao Chen |
| author_sort | Zhannan Li |
| collection | DOAJ |
| description | Millimeter-wave (mmWave) communications are a critical technique with next-generation network characteristics such as ultra-dense small cells can meet the skyrocketing demand for mobile data. Hybrid precoding, which combines analog and digital processing to provide both spatial diversity gains and beamforming, is commonly studied for mmWave communications to lower the power and cost consumption of radio frequency (RF) networks. However, the combination of ultra-dense small cells and ever-increasing data traffic results in massive interference. In this paper, we propose a minimum mean square error (MMSE)-based hybrid beamforming strategy for downlink mmWave MIMO two-tier heterogeneous networks (HetNets). The analog beamforming is generalized by an orthogonal matching pursuit technique. The analog beamforming problem is formulated as a sparse signal recovery problem. An MMSE-based digital beamforming algorithm is proposed to minimize the sum MSE of the user-intended data streams so that the inter- and intra-tier interferences are mitigated iteratively. The simulation results demonstrate the advantageous performance of the proposed hybrid beamforming schemes under different cellular cooperation and data transmission scenarios when hardware constraints are taken into account. |
| first_indexed | 2024-03-09T16:59:11Z |
| format | Article |
| id | doaj.art-fd3f44a8f53b428fa8c3e68fc1ab50bf |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T16:59:11Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-fd3f44a8f53b428fa8c3e68fc1ab50bf2023-11-24T14:32:28ZengMDPI AGElectronics2079-92922022-12-011124422110.3390/electronics11244221Hybrid Beamforming for Multi-User Millimeter-Wave Heterogeneous NetworksZhannan Li0Tao Chen1College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, ChinaMillimeter-wave (mmWave) communications are a critical technique with next-generation network characteristics such as ultra-dense small cells can meet the skyrocketing demand for mobile data. Hybrid precoding, which combines analog and digital processing to provide both spatial diversity gains and beamforming, is commonly studied for mmWave communications to lower the power and cost consumption of radio frequency (RF) networks. However, the combination of ultra-dense small cells and ever-increasing data traffic results in massive interference. In this paper, we propose a minimum mean square error (MMSE)-based hybrid beamforming strategy for downlink mmWave MIMO two-tier heterogeneous networks (HetNets). The analog beamforming is generalized by an orthogonal matching pursuit technique. The analog beamforming problem is formulated as a sparse signal recovery problem. An MMSE-based digital beamforming algorithm is proposed to minimize the sum MSE of the user-intended data streams so that the inter- and intra-tier interferences are mitigated iteratively. The simulation results demonstrate the advantageous performance of the proposed hybrid beamforming schemes under different cellular cooperation and data transmission scenarios when hardware constraints are taken into account.https://www.mdpi.com/2079-9292/11/24/4221millimeter wavehybrid beamforminghetnets |
| spellingShingle | Zhannan Li Tao Chen Hybrid Beamforming for Multi-User Millimeter-Wave Heterogeneous Networks Electronics millimeter wave hybrid beamforming hetnets |
| title | Hybrid Beamforming for Multi-User Millimeter-Wave Heterogeneous Networks |
| title_full | Hybrid Beamforming for Multi-User Millimeter-Wave Heterogeneous Networks |
| title_fullStr | Hybrid Beamforming for Multi-User Millimeter-Wave Heterogeneous Networks |
| title_full_unstemmed | Hybrid Beamforming for Multi-User Millimeter-Wave Heterogeneous Networks |
| title_short | Hybrid Beamforming for Multi-User Millimeter-Wave Heterogeneous Networks |
| title_sort | hybrid beamforming for multi user millimeter wave heterogeneous networks |
| topic | millimeter wave hybrid beamforming hetnets |
| url | https://www.mdpi.com/2079-9292/11/24/4221 |
| work_keys_str_mv | AT zhannanli hybridbeamformingformultiusermillimeterwaveheterogeneousnetworks AT taochen hybridbeamformingformultiusermillimeterwaveheterogeneousnetworks |