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

arXiv: https://arxiv.org/abs/2206.07658 · HTML: https://mlsanity.com/paper/2206.07658/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 15 references that are in the map.
- First posted on arXiv 16 May 2022.

## Builds on (most cited first, 1 of 1)

- [Spectral and spatial power evolution design with machine learning-enabled Raman amplification](https://mlsanity.com/paper/2112.12637/) (2021)

## Built on by (most cited first, 1 of 1)

- [Experimental validation of machine-learning based spectral-spatial power evolution shaping using Raman amplifiers](https://mlsanity.com/paper/2209.13401/) (2022)

## Abstract (arXiv)

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.