Novel Phase-Noise-Tolerant Variational-Autoencoder-Based Equalization Suitable for Space-Division-Multiplexed Transmission
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arXiv
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| Autores principales: | , , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Acceso en línea: | |
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| _version_ | 1866918143615565824 |
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| author | Lauinger, Vincent Schmitz, Lennart Matalla, Patrick Rode, Andrej Randel, Sebastian Schmalen, Laurent |
| author_facet | Lauinger, Vincent Schmitz, Lennart Matalla, Patrick Rode, Andrej Randel, Sebastian Schmalen, Laurent |
| contents | We demonstrate the effectiveness of a novel phase-noise-tolerant, variational-autoencoder-based equalization scheme for space-division-multiplexed (SDM) transmission in an experiment over 150km of randomly-coupled multi-core fibers. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_14072 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Novel Phase-Noise-Tolerant Variational-Autoencoder-Based Equalization Suitable for Space-Division-Multiplexed Transmission Lauinger, Vincent Schmitz, Lennart Matalla, Patrick Rode, Andrej Randel, Sebastian Schmalen, Laurent Signal Processing Machine Learning We demonstrate the effectiveness of a novel phase-noise-tolerant, variational-autoencoder-based equalization scheme for space-division-multiplexed (SDM) transmission in an experiment over 150km of randomly-coupled multi-core fibers. |
| title | Novel Phase-Noise-Tolerant Variational-Autoencoder-Based Equalization Suitable for Space-Division-Multiplexed Transmission |
| topic | Signal Processing Machine Learning |
| url | https://arxiv.org/abs/2509.14072 |