Web: http://arxiv.org/abs/2206.07658

June 16, 2022, 1:11 a.m. | Mehran Soltani, Francesco Da Ros, Andrea Carena, Darko Zibar

cs.LG updates on arXiv.org arxiv.org

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.

arxiv design evolution experimental lg power validation

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