Experimental Validation of Spectral-Spatial Power Evolution Design Using Raman Amplifiers

TL;DR

This paper experimentally validates a machine learning-based Raman amplification framework that jointly optimizes signal power evolution across frequency and fiber distance in the C-band.

Contribution

It introduces a novel experimental validation of a machine learning-enabled Raman amplification method for joint spectral and spatial power shaping.

Findings

Successful experimental validation of the framework

Effective optimization of four Raman pumps across the C-band

Enhanced control over power evolution in fiber amplifiers

Abstract

We experimentally validate a machine learning-enabled Raman amplification framework, capable of jointly shaping the signal power evolution in two domains: frequency and fiber distance. The proposed experiment addresses the amplification in the whole C-band, by optimizing four first-order counter-propagating Raman pumps.