The accuracy of both GN and Enhanced GN (EGN) models are investigated for a legacy dispersion-managed ultra-long-haul optical link by comparing its predictions with split-step simulations. The EGN model shows good accuracy in system performance prediction, when signal power depletion and ASE contribution to nonlinear interference (NLI) are considered.

Nonlinearity Assessment in Long Haul Dispersion Managed Fiber Optic Links / Zefreh, Mr; Forghieri, F; Piciaccia, S; Poggiolini, P. - ELETTRONICO. - (2020). (Intervento presentato al convegno 2020 Italian Conference on Optics and Photonics (ICOP) tenutosi a Parma, Italy nel 09-11 September 2020) [10.1109/ICOP49690.2020.9300336].

Nonlinearity Assessment in Long Haul Dispersion Managed Fiber Optic Links

Poggiolini, P
2020

Abstract

The accuracy of both GN and Enhanced GN (EGN) models are investigated for a legacy dispersion-managed ultra-long-haul optical link by comparing its predictions with split-step simulations. The EGN model shows good accuracy in system performance prediction, when signal power depletion and ASE contribution to nonlinear interference (NLI) are considered.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2948088