A Grey-box Launch-profile Aware Model for C+L Band Raman Amplification

TL;DR

This paper introduces a grey-box model for C+L band Raman amplification that combines physical insights with neural networks and linear regression, achieving improved accuracy and efficiency over pure neural network models.

Contribution

It presents a novel three-step grey-box modeling scheme integrating physical features with neural networks and linear regression for Raman amplification.

Findings

Higher accuracy than pure NN models

Reduced data requirements

Lower computational complexity

Abstract

Based on the physical features of Raman amplification, we propose a three-step modelling scheme based on neural networks (NN) and linear regression. Higher accuracy, less data requirements and lower computational complexity are demonstrated through simulations compared with the pure NN-based method.