Digital Twin for Estimating QoT Statistics in Presence of PDL and Transceiver Imperfections
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
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| _version_ | 1866915609395068928 |
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| author | Purkayastha, Ambashri Delezoide, Camille Bajaj, Vinod Lourdiane, Mounia Ware, Cédric Layec, Patricia |
| author_facet | Purkayastha, Ambashri Delezoide, Camille Bajaj, Vinod Lourdiane, Mounia Ware, Cédric Layec, Patricia |
| contents | We propose a physics-based digital twin to predict the statistical QoT distribution of a realistic optical lightpath. We demonstrate up to 0.73 dB accuracy improvement in worst-case SNR prediction for short distance transmissions in linear regime. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_07005 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Digital Twin for Estimating QoT Statistics in Presence of PDL and Transceiver Imperfections Purkayastha, Ambashri Delezoide, Camille Bajaj, Vinod Lourdiane, Mounia Ware, Cédric Layec, Patricia Optics We propose a physics-based digital twin to predict the statistical QoT distribution of a realistic optical lightpath. We demonstrate up to 0.73 dB accuracy improvement in worst-case SNR prediction for short distance transmissions in linear regime. |
| title | Digital Twin for Estimating QoT Statistics in Presence of PDL and Transceiver Imperfections |
| topic | Optics |
| url | https://arxiv.org/abs/2511.07005 |