Lumped Compensation of Nonlinearities based on Optical Phase Conjugation

Abstract

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Modeling optical amplifiers: from inverse design to full system optimization

“…This has been proposed [11] and experimentally validated [12], to provide additional flexibility in the optimization of distributed Raman amplification over transmission links, e.g. for applications such as nonlinearity compensation techniques [13].…”

“…However, due to the inherent nonlinear fitting ability of a NN, a model overfitted to a single physical device would not be of great interest. The ability of black-box models to generalize to multiple physical devices has been investigated for EDFAs [13] as well as Raman amplifiers [21], showing promising prospects for moving beyond a unit-specific model. In the latter work, generalization to amplifiers relying on different fiber types has been achieved by proposing the use of a NN model pre-trained on synthetic data generated through a loosely fit numerical model, followed by a quick re-training stage (following the paradigm of transfer learning) using experimental measurements [14].…”