The Coherent Polynomials Closed-Form Model for Evaluating Nonlinear Interference in Any Island

TL;DR

This paper enhances the GN Polynomial Closed-Form Model for nonlinear interference evaluation by including spectral NLI PSD and coherent accumulation, achieving high accuracy without machine learning corrections.

Contribution

It introduces an improved model that accurately evaluates NLI over any domain, applicable to various system configurations without machine learning corrections.

Findings

Enhanced model accurately predicts NLI in diverse systems.

Model works effectively in low-dispersion and low-baud-rate scenarios.

Eliminates need for machine-learning correction factors.

Abstract

We improve the accuracy of the GN Polynomial Closed-Form Model (PCFM) by incorporating the spectral NLI PSD and the coherent accumulation along the link. The proposed model is capable of accurately evaluating the NLI over any rectangular integration domain without relying on the machine-learning correction factors, even in low-dispersion and low-baud-rate subcarrier systems.