Nonlinearity Cancellation Based on Optimized First Order Perturbative Kernels

TL;DR

This paper explores interference cancellation using optimized first-order perturbative kernels for the Manakov equation, demonstrating potential SNR improvements through theoretical analysis.

Contribution

It introduces a novel approach of using optimized regular perturbation kernels for interference cancellation in the Manakov equation.

Findings

Theoretical SNR gains of up to 2.5 dB are demonstrated.

The method shows promise for improving interference cancellation performance.

The approach is based on first-order perturbation kernels.

Abstract

The potential offered by interference cancellation based on optimized regular perturbation kernels of the Manakov equation is studied. Theoretical gains of up to 2.5 dB in effective SNR are demonstrated.