Correlated Non-Linear Phase Noise in Multi-Subcarrier Systems

TL;DR

This paper investigates correlated nonlinear phase noise in multi-subcarrier systems, providing an analytical model for covariance prediction and a mitigation algorithm leveraging these correlations.

Contribution

It introduces a novel analytical model for NLPN covariance and a simple mitigation algorithm based on subcarrier correlations.

Findings

Analytical model accurately predicts NLPN covariance.

Mitigation algorithm improves phase noise suppression.

Enhanced performance in multi-subcarrier systems.

Abstract

We explore correlated nonlinear phase noise (NLPN) in multi-subcarrier systems. We derive an analytical model for predicting the covariance between the NLPN affecting different subcarriers, and offer a simple algorithm which uses the correlations for improved NLPN mitigation.