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

Published 16 May 2022 in cs.LG, eess.SP, and physics.app-ph | (2206.07658v1)

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.

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