A Grey-box Launch-profile Aware Model for C+L Band Raman Amplification
This work addresses a domain-specific problem in optical communication systems, offering incremental improvements for modeling Raman amplification.
The paper tackled the problem of modeling C+L band Raman amplification by proposing a three-step scheme combining neural networks and linear regression, resulting in higher accuracy, reduced data requirements, and lower computational complexity compared to pure neural network methods.
Based on the physical features of Raman amplification, we propose a three-step modelling scheme based on neural networks (NN) and linear regression. Higher accuracy, less data requirements and lower computational complexity are demonstrated through simulations compared with the pure NN-based method.