Deep Learning Gain and Tilt Adaptive Digital Twin Modeling of Optical Line Systems for Accurate OSNR Predictions

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Publication Date: 5/6/2024

Event: ONDM 2024

Reference: pp. 1-3, 2024

Authors: Rocco D’Ingillo, Politecnico di Torino; Andrea D’Amico, NEC Laboratories America, Inc.; Renato Ambrosone, Politecnico di Torino; Emanuele Virgillito, Politecnico di Torino; Vittorio Gatto, Politecnico di Torino; Stefano Straullu, LINKS Foundation; Francesco Aquilino, LINKS Foundation; Vittorio Curri, Politecnico di Torino

Abstract: We propose a deep learning algorithm trained on varied spectral loads and EDFA working points to generate a digital twin of an optical line system able to optimize line control and to enhance OSNR predictions.

Publication Link: https://ieeexplore.ieee.org/document/10582772