Coherent accumulation of non-linearity on QAM modulated signals can be se- vere in dispersion-managed links. We propose a machine learning assisted, spatially disag- gregated model able to provide a fast and accurate non-linearity estimation in this scenario
ML-Assisted Gaussian Noise Modeling of NLI Accumulation in Dispersion Managed Optical Links / Ietro, Rosario; Virgillito, Emanuele; Napoli, Antonio; Bhyri, Sai Kishore; Galimberti, Gabriele; Wakim, Walid; Curri, Vittorio. - (2025). (Intervento presentato al convegno Advanced Photonics Congress 2025 tenutosi a Marseille (Fra) nel 13-17 July 2025) [10.1364/networks.2025.netu2c.2].
ML-Assisted Gaussian Noise Modeling of NLI Accumulation in Dispersion Managed Optical Links
Ietro, Rosario;Virgillito, Emanuele;Curri, Vittorio
2025
Abstract
Coherent accumulation of non-linearity on QAM modulated signals can be se- vere in dispersion-managed links. We propose a machine learning assisted, spatially disag- gregated model able to provide a fast and accurate non-linearity estimation in this scenario| File | Dimensione | Formato | |
|---|---|---|---|
|
networks-2025-netu2c.2.pdf
accesso riservato
Tipologia:
2a Post-print versione editoriale / Version of Record
Licenza:
Non Pubblico - Accesso privato/ristretto
Dimensione
1.98 MB
Formato
Adobe PDF
|
1.98 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
|
APC_25__INFINERA_ML_XCI.pdf
embargo fino al 06/11/2026
Tipologia:
2. Post-print / Author's Accepted Manuscript
Licenza:
Pubblico - Tutti i diritti riservati
Dimensione
1.86 MB
Formato
Adobe PDF
|
1.86 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11583/3004796
