Fuzzy Clustering for Low-Complexity Time Domain Chromatic Dispersion Compensation Scheme in Coherent Optical Fiber Communication Systems
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866913738729193472 |
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| author | Wan, Wenkai Yang, Aiying Guo, Peng Zhao, Zhe Xu, Tianjia Wu, Jinxuan Liu, Zhiheng |
| author_facet | Wan, Wenkai Yang, Aiying Guo, Peng Zhao, Zhe Xu, Tianjia Wu, Jinxuan Liu, Zhiheng |
| contents | Chromatic dispersion compensation (CDC), implemented in either the time-domain or frequency-domain, is crucial for enhancing power efficiency in the digital signal processing of modern optical fiber communication systems. Developing low-complexity CDC schemes is essential for hardware implemention, particularly for high-speed and long-haul optical fiber communication systems. In this work, we propose a novel two-stage fuzzy clustered time-domain chromatic dispersion compensation scheme. Unlike hard decisions of CDC filter coefficients after determining the cluster centroids, our approach applies a soft fuzzy decision, allowing the coefficients to belong to multiple clusters. Experiments on a single-channel, single-polarization 20Gbaud 16-QAM 1800 km standard single-mode fiber communication system demonstrate that our approach has a complexity reduction of 53.8% and 40% compared with clustered TD-CDC and FD-CDC at a target Q-factor of 20% HD-FEC, respectively. Furthermore, the proposed method achieves the same optimal Q-factor as FD-CDC with a 27% complexity reduction. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_12482 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Fuzzy Clustering for Low-Complexity Time Domain Chromatic Dispersion Compensation Scheme in Coherent Optical Fiber Communication Systems Wan, Wenkai Yang, Aiying Guo, Peng Zhao, Zhe Xu, Tianjia Wu, Jinxuan Liu, Zhiheng Signal Processing Chromatic dispersion compensation (CDC), implemented in either the time-domain or frequency-domain, is crucial for enhancing power efficiency in the digital signal processing of modern optical fiber communication systems. Developing low-complexity CDC schemes is essential for hardware implemention, particularly for high-speed and long-haul optical fiber communication systems. In this work, we propose a novel two-stage fuzzy clustered time-domain chromatic dispersion compensation scheme. Unlike hard decisions of CDC filter coefficients after determining the cluster centroids, our approach applies a soft fuzzy decision, allowing the coefficients to belong to multiple clusters. Experiments on a single-channel, single-polarization 20Gbaud 16-QAM 1800 km standard single-mode fiber communication system demonstrate that our approach has a complexity reduction of 53.8% and 40% compared with clustered TD-CDC and FD-CDC at a target Q-factor of 20% HD-FEC, respectively. Furthermore, the proposed method achieves the same optimal Q-factor as FD-CDC with a 27% complexity reduction. |
| title | Fuzzy Clustering for Low-Complexity Time Domain Chromatic Dispersion Compensation Scheme in Coherent Optical Fiber Communication Systems |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2503.12482 |