2nd Order Backward Raman Amplifier Design Using Autoencoder for C+L Band Transmission

We propose machine learning based 2 nd order backward Raman amplifier design using autoencoder and a two-step training process. We demonstrate 0.18 dB RMS error for target Raman gain profile of 10 dB in C+L band transmission.

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Bibliographic Details
Published in:	2024 Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR) pp. 1 - 2
Main Authors:	Kim, Inwoong, Akasaka, Youichi, Vassilieva, Olga, Palacharla, Paparao
Format:	Conference Proceeding
Language:	English
Published:	IEEE 04-08-2024
Subjects:	Gain Hybrid power systems Lasers and electrooptics Machine learning Optical noise Stimulated emission Training
Online Access:	Get full text
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Description
Summary:	We propose machine learning based 2 nd order backward Raman amplifier design using autoencoder and a two-step training process. We demonstrate 0.18 dB RMS error for target Raman gain profile of 10 dB in C+L band transmission.
ISSN:	2997-7037
DOI:	10.1109/CLEO-PR60912.2024.10676548