We present a convolutional neural network architecture for inverse Raman amplifier design. This model aims at finding the pump powers and wavelengths required for a target signal power evolution in both distance along the fiber and in frequency. Using the proposed framework, the prediction of the pump configuration required to achieve a target power profile is demonstrated numerically with high accuracy in C-band considering both counter-propagating and bidirectional pumping schemes. For a distributed Raman amplifier based on a 100 km single-mode fiber, a low mean set (0.51, 0.54, and 0.64 dB) and standard deviation set (0.62, 0.43, and 0.38 dB) of the maximum test error are obtained numerically employing two and three counter-, and four bidirectional propagating pumps, respectively.

Inverse design of a Raman amplifier in frequency and distance domains using convolutional neural networks / Soltani, M.; da Ros, F.; Carena, A.; Zibar, D.. - In: OPTICS LETTERS. - ISSN 0146-9592. - ELETTRONICO. - 46:11(2021), pp. 2650-2653. [10.1364/OL.422884]

Inverse design of a Raman amplifier in frequency and distance domains using convolutional neural networks

Carena A.;
2021

Abstract

We present a convolutional neural network architecture for inverse Raman amplifier design. This model aims at finding the pump powers and wavelengths required for a target signal power evolution in both distance along the fiber and in frequency. Using the proposed framework, the prediction of the pump configuration required to achieve a target power profile is demonstrated numerically with high accuracy in C-band considering both counter-propagating and bidirectional pumping schemes. For a distributed Raman amplifier based on a 100 km single-mode fiber, a low mean set (0.51, 0.54, and 0.64 dB) and standard deviation set (0.62, 0.43, and 0.38 dB) of the maximum test error are obtained numerically employing two and three counter-, and four bidirectional propagating pumps, respectively.
2021
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2972735