An ultra-fast method for gain and noise prediction of Raman amplifiers

TL;DR

This paper introduces a machine learning approach that accurately predicts Raman gain and noise spectra with low computational cost, enabling real-time application in optical network control systems.

Contribution

The paper presents a novel machine learning method that achieves high-accuracy Raman gain and noise predictions with low complexity, suitable for real-time optical network management.

Findings

RMSE < 0.4 dB in predictions

High accuracy and low computational complexity

Suitable for real-time optical network control

Abstract

A machine learning method for prediction of Raman gain and noise spectra is presented: it guarantees high-accuracy (RMSE < 0.4 dB) and low computational complexity making it suitable for real-time implementation in future optical networks controllers.