EDFA Modeling refers to the process of developing mathematical models that accurately describe the behavior of Erbium-Doped Fiber Amplifiers (EDFAs) within optical communication systems. EDFAs are essential components used to amplify optical signals in fiber optic networks, and accurately modeling their behavior is crucial for predicting the performance of these networks.


Multi-Span Optical Power Spectrum Prediction using ML-based EDFA Models and Cascaded Learning

We implement a cascaded learning framework using component-level EDFA models for optical power spectrum prediction in multi-span networks, achieving a mean absolute error of 0.17 dB across 6 spans and 12 EDFAs with only one-shot measurement.