Experimental Validation of Spectral-Spatial Power Evolution Design Using Raman Amplifiers
This work addresses amplification challenges in optical communication systems, but it appears incremental as it focuses on experimental validation of an existing framework.
The authors tackled the problem of shaping signal power evolution in both frequency and fiber distance domains using a machine learning-enabled Raman amplification framework, achieving optimization across the entire C-band with four first-order counter-propagating Raman pumps.
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.