A Fast and Effective MIMO Algorithm Using CLR-RNN for Hybrid MDM and WDM Optical Communication System
There is an increasing demand for data with the development of the world, and various fiber optic multiplexing techniques have become an important research direction to improve transmission capacity. However, the transmitted signals are subject to great interference due to mode coupling and mode dis...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Photonics Journal |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10480546/ |
| _version_ | 1797201325818118144 |
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| author | Danni Zhang Zhongwei Tan Xinyuan Ma Shun Lu Wenhua Ren Fengping Yan |
| author_facet | Danni Zhang Zhongwei Tan Xinyuan Ma Shun Lu Wenhua Ren Fengping Yan |
| author_sort | Danni Zhang |
| collection | DOAJ |
| description | There is an increasing demand for data with the development of the world, and various fiber optic multiplexing techniques have become an important research direction to improve transmission capacity. However, the transmitted signals are subject to great interference due to mode coupling and mode dispersion, which require multiple-input multiple-output (MIMO) digital signal processing techniques to restore the quality of the transmitted signals. In this paper, a novel MIMO detector is designed using an adaptive learning recurrent neural network and successfully implemented in a mixed wavelength-division-mode-division-multiplexing (WDM-MDM) optical transmission system, and its performance is compared with that of the forced-zero detector and the minimum-mean-square-error detector. The results show that the introduction of an adaptive machine learning model in MIMO detection for WDM-MDM optical transmission systems can significantly improve the quality of the transmitted signals and achieve better performance than other MIMO detection algorithms while maintaining a faster computational speed and a lower number of parameters. |
| first_indexed | 2024-04-24T07:45:45Z |
| format | Article |
| id | doaj.art-6c5f97a43e3b4553a5d02e7d8ef176e7 |
| institution | Directory Open Access Journal |
| issn | 1943-0655 |
| language | English |
| last_indexed | 2024-04-24T07:45:45Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Photonics Journal |
| spelling | doaj.art-6c5f97a43e3b4553a5d02e7d8ef176e72024-04-18T23:00:14ZengIEEEIEEE Photonics Journal1943-06552024-01-011631910.1109/JPHOT.2024.338259610480546A Fast and Effective MIMO Algorithm Using CLR-RNN for Hybrid MDM and WDM Optical Communication SystemDanni Zhang0https://orcid.org/0000-0003-3021-3843Zhongwei Tan1https://orcid.org/0000-0002-8916-1614Xinyuan Ma2https://orcid.org/0009-0002-5244-6955Shun Lu3https://orcid.org/0000-0003-0237-2265Wenhua Ren4https://orcid.org/0000-0001-5753-6306Fengping Yan5https://orcid.org/0000-0003-3428-8252Institute of Lightwave Technology, Key Lab of All Optical Network and Advanced Telecommunication Network of EMC and the School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, ChinaInstitute of Lightwave Technology, Key Lab of All Optical Network and Advanced Telecommunication Network of EMC and the School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, ChinaNational Engineering Lab for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, ChinaInstitute of Lightwave Technology, Key Lab of All Optical Network and Advanced Telecommunication Network of EMC and the School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, ChinaInstitute of Lightwave Technology, Key Lab of All Optical Network and Advanced Telecommunication Network of EMC and the School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, ChinaInstitute of Lightwave Technology, Key Lab of All Optical Network and Advanced Telecommunication Network of EMC and the School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, ChinaThere is an increasing demand for data with the development of the world, and various fiber optic multiplexing techniques have become an important research direction to improve transmission capacity. However, the transmitted signals are subject to great interference due to mode coupling and mode dispersion, which require multiple-input multiple-output (MIMO) digital signal processing techniques to restore the quality of the transmitted signals. In this paper, a novel MIMO detector is designed using an adaptive learning recurrent neural network and successfully implemented in a mixed wavelength-division-mode-division-multiplexing (WDM-MDM) optical transmission system, and its performance is compared with that of the forced-zero detector and the minimum-mean-square-error detector. The results show that the introduction of an adaptive machine learning model in MIMO detection for WDM-MDM optical transmission systems can significantly improve the quality of the transmitted signals and achieve better performance than other MIMO detection algorithms while maintaining a faster computational speed and a lower number of parameters.https://ieeexplore.ieee.org/document/10480546/MIMOWDMSDMcommunication systemmachine learning |
| spellingShingle | Danni Zhang Zhongwei Tan Xinyuan Ma Shun Lu Wenhua Ren Fengping Yan A Fast and Effective MIMO Algorithm Using CLR-RNN for Hybrid MDM and WDM Optical Communication System IEEE Photonics Journal MIMO WDM SDM communication system machine learning |
| title | A Fast and Effective MIMO Algorithm Using CLR-RNN for Hybrid MDM and WDM Optical Communication System |
| title_full | A Fast and Effective MIMO Algorithm Using CLR-RNN for Hybrid MDM and WDM Optical Communication System |
| title_fullStr | A Fast and Effective MIMO Algorithm Using CLR-RNN for Hybrid MDM and WDM Optical Communication System |
| title_full_unstemmed | A Fast and Effective MIMO Algorithm Using CLR-RNN for Hybrid MDM and WDM Optical Communication System |
| title_short | A Fast and Effective MIMO Algorithm Using CLR-RNN for Hybrid MDM and WDM Optical Communication System |
| title_sort | fast and effective mimo algorithm using clr rnn for hybrid mdm and wdm optical communication system |
| topic | MIMO WDM SDM communication system machine learning |
| url | https://ieeexplore.ieee.org/document/10480546/ |
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