Machine learning-based EDFA Gain Model Generalizable to Multiple Physical Devices
2020-09-11Code Available0· sign in to hype
Francesco Da Ros, Uiara Celine de Moura, Metodi P. Yankov
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Abstract
We report a neural-network based erbium-doped fiber amplifier (EDFA) gain model built from experimental measurements. The model shows low gain-prediction error for both the same device used for training (MSE 0.04 dB^2) and different physical units of the same make (generalization MSE 0.06 dB^2).