Introducing the Generalized GN-model for Nonlinear Interference Generation including space/frequency variations of loss/gain

TL;DR

This paper introduces a generalized GN-model that accurately predicts nonlinear interference in optical systems considering space and frequency variations of loss, gain, and crosstalk effects.

Contribution

The paper presents the GGN-model, extending the GN-model to account for variable loss, gain, and crosstalk, improving prediction accuracy in complex optical networks.

Findings

Enhanced prediction of nonlinear interference in variable conditions

Applicable to systems with distributed amplification and crosstalk

Provides a more comprehensive modeling framework

Abstract

We develop and present a generalization of the GN-model - the generalized Gaussian noise (GGN) model - to enabling a fair application of GN-model to predict generation of nonlinear interference when loss parameters relevantly vary with frequency and/or distributed amplification applies selectively to portions of the exploited spectrum and/or stimulated-Raman-scattering-induced crosstalk is relevant.