Wide and Deep Learning-Aided Nonlinear Equalizer for Coherent Optical Communication Systems
In this study, we developed a wide and deep network-based nonlinear equalizer to compensate for nonlinear impairment in coherent optical communication systems. In our proposed equalizer, the power feature factor and inter-symbol feature sequence in the received signal are analyzed by two combined ne...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-02-01
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| Series: | Photonics |
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| Online Access: | https://www.mdpi.com/2304-6732/11/2/141 |
| _version_ | 1827342945486897152 |
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| author | Ziyun Jiang Xinyu Liu Liuchao Zhang |
| author_facet | Ziyun Jiang Xinyu Liu Liuchao Zhang |
| author_sort | Ziyun Jiang |
| collection | DOAJ |
| description | In this study, we developed a wide and deep network-based nonlinear equalizer to compensate for nonlinear impairment in coherent optical communication systems. In our proposed equalizer, the power feature factor and inter-symbol feature sequence in the received signal are analyzed by two combined networks, wide and deep, respectively, so that the information contained in the signal can be fully utilized. We designed an experiment using a 120 Gbit/s 64-quadrature amplitude modulation (64-QAM) coherent optical communication system over a 375 km standard single-mode fiber (SSMF) to verify the performance of the proposed wide and deep network-based nonlinear equalizer. The experimental results showed that the proposed wide and deep network-based nonlinear equalizer achieved better performance at lower complexity compared with the traditional neural network-based nonlinear equalizer. The proposed equalizer significantly improved the equalization effect at a cost of a 0.3% increase in parameters, which indicates the potential of the proposed method for application in coherent optical communication systems. |
| first_indexed | 2024-03-07T22:17:14Z |
| format | Article |
| id | doaj.art-a4f299fcb6594a0499614aec1a6f071a |
| institution | Directory Open Access Journal |
| issn | 2304-6732 |
| language | English |
| last_indexed | 2024-03-07T22:17:14Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Photonics |
| spelling | doaj.art-a4f299fcb6594a0499614aec1a6f071a2024-02-23T15:31:39ZengMDPI AGPhotonics2304-67322024-02-0111214110.3390/photonics11020141Wide and Deep Learning-Aided Nonlinear Equalizer for Coherent Optical Communication SystemsZiyun Jiang0Xinyu Liu1Liuchao Zhang2School of Information and Electronics, Beijing Institute of Technology (BIT), Beijing 100081, ChinaSchool of Information and Electronics, Beijing Institute of Technology (BIT), Beijing 100081, ChinaChina North Industries Corporation, Beijing 100053, ChinaIn this study, we developed a wide and deep network-based nonlinear equalizer to compensate for nonlinear impairment in coherent optical communication systems. In our proposed equalizer, the power feature factor and inter-symbol feature sequence in the received signal are analyzed by two combined networks, wide and deep, respectively, so that the information contained in the signal can be fully utilized. We designed an experiment using a 120 Gbit/s 64-quadrature amplitude modulation (64-QAM) coherent optical communication system over a 375 km standard single-mode fiber (SSMF) to verify the performance of the proposed wide and deep network-based nonlinear equalizer. The experimental results showed that the proposed wide and deep network-based nonlinear equalizer achieved better performance at lower complexity compared with the traditional neural network-based nonlinear equalizer. The proposed equalizer significantly improved the equalization effect at a cost of a 0.3% increase in parameters, which indicates the potential of the proposed method for application in coherent optical communication systems.https://www.mdpi.com/2304-6732/11/2/141wide and deep learningnonlinear equalizercoherent optical communication system |
| spellingShingle | Ziyun Jiang Xinyu Liu Liuchao Zhang Wide and Deep Learning-Aided Nonlinear Equalizer for Coherent Optical Communication Systems Photonics wide and deep learning nonlinear equalizer coherent optical communication system |
| title | Wide and Deep Learning-Aided Nonlinear Equalizer for Coherent Optical Communication Systems |
| title_full | Wide and Deep Learning-Aided Nonlinear Equalizer for Coherent Optical Communication Systems |
| title_fullStr | Wide and Deep Learning-Aided Nonlinear Equalizer for Coherent Optical Communication Systems |
| title_full_unstemmed | Wide and Deep Learning-Aided Nonlinear Equalizer for Coherent Optical Communication Systems |
| title_short | Wide and Deep Learning-Aided Nonlinear Equalizer for Coherent Optical Communication Systems |
| title_sort | wide and deep learning aided nonlinear equalizer for coherent optical communication systems |
| topic | wide and deep learning nonlinear equalizer coherent optical communication system |
| url | https://www.mdpi.com/2304-6732/11/2/141 |
| work_keys_str_mv | AT ziyunjiang wideanddeeplearningaidednonlinearequalizerforcoherentopticalcommunicationsystems AT xinyuliu wideanddeeplearningaidednonlinearequalizerforcoherentopticalcommunicationsystems AT liuchaozhang wideanddeeplearningaidednonlinearequalizerforcoherentopticalcommunicationsystems |