Deep Learning-Based Joint CSI Feedback and Hybrid Precoding in FDD mmWave Massive MIMO Systems
In this paper, we propose an end-to-end deep learning approach to realize channel state information (CSI) feedback and hybrid precoding for millimeter wave massive multiple-input multiple-output systems in the frequency division duplexing mode. Different from conventional approaches that treat the C...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-03-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/24/4/441 |
| _version_ | 1797434782586503168 |
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| author | Qiang Sun Huan Zhao Jue Wang Wei Chen |
| author_facet | Qiang Sun Huan Zhao Jue Wang Wei Chen |
| author_sort | Qiang Sun |
| collection | DOAJ |
| description | In this paper, we propose an end-to-end deep learning approach to realize channel state information (CSI) feedback and hybrid precoding for millimeter wave massive multiple-input multiple-output systems in the frequency division duplexing mode. Different from conventional approaches that treat the CSI reconstruction and hybrid precoding as separate components, we propose a new end-to-end learning method bypassing the channel reconstruction phase, and design the hybrid precoders and combiners directly from the feedback codewords (a compressed version of the CSI). More specifically, we design a neural network composed of the CSI feedback and hybrid precoding. Experiment results show that our proposed network can achieve better performance than conventional hybrid precoding schemes that reserve channel reconstruction, especially when the feedback resources are limited. |
| first_indexed | 2024-03-09T10:37:00Z |
| format | Article |
| id | doaj.art-27b7c333ac58475b8ed40e2c2a9bb89f |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-03-09T10:37:00Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-27b7c333ac58475b8ed40e2c2a9bb89f2023-12-01T20:49:47ZengMDPI AGEntropy1099-43002022-03-0124444110.3390/e24040441Deep Learning-Based Joint CSI Feedback and Hybrid Precoding in FDD mmWave Massive MIMO SystemsQiang Sun0Huan Zhao1Jue Wang2Wei Chen3School of Information Science and Technology, Nantong University, Nantong 226019, ChinaSchool of Information Science and Technology, Nantong University, Nantong 226019, ChinaSchool of Information Science and Technology, Nantong University, Nantong 226019, ChinaSchool of Information Science and Technology, Nantong University, Nantong 226019, ChinaIn this paper, we propose an end-to-end deep learning approach to realize channel state information (CSI) feedback and hybrid precoding for millimeter wave massive multiple-input multiple-output systems in the frequency division duplexing mode. Different from conventional approaches that treat the CSI reconstruction and hybrid precoding as separate components, we propose a new end-to-end learning method bypassing the channel reconstruction phase, and design the hybrid precoders and combiners directly from the feedback codewords (a compressed version of the CSI). More specifically, we design a neural network composed of the CSI feedback and hybrid precoding. Experiment results show that our proposed network can achieve better performance than conventional hybrid precoding schemes that reserve channel reconstruction, especially when the feedback resources are limited.https://www.mdpi.com/1099-4300/24/4/441deep learningmassive MIMOCSI feedbackhybrid precodingmillimeter wave |
| spellingShingle | Qiang Sun Huan Zhao Jue Wang Wei Chen Deep Learning-Based Joint CSI Feedback and Hybrid Precoding in FDD mmWave Massive MIMO Systems Entropy deep learning massive MIMO CSI feedback hybrid precoding millimeter wave |
| title | Deep Learning-Based Joint CSI Feedback and Hybrid Precoding in FDD mmWave Massive MIMO Systems |
| title_full | Deep Learning-Based Joint CSI Feedback and Hybrid Precoding in FDD mmWave Massive MIMO Systems |
| title_fullStr | Deep Learning-Based Joint CSI Feedback and Hybrid Precoding in FDD mmWave Massive MIMO Systems |
| title_full_unstemmed | Deep Learning-Based Joint CSI Feedback and Hybrid Precoding in FDD mmWave Massive MIMO Systems |
| title_short | Deep Learning-Based Joint CSI Feedback and Hybrid Precoding in FDD mmWave Massive MIMO Systems |
| title_sort | deep learning based joint csi feedback and hybrid precoding in fdd mmwave massive mimo systems |
| topic | deep learning massive MIMO CSI feedback hybrid precoding millimeter wave |
| url | https://www.mdpi.com/1099-4300/24/4/441 |
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