Salvato in:
| Autori principali: | , , , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2025
|
| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2511.07005 |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866915609395068928 |
|---|---|
| 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 |