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Machine learning-based EDFA Gain Model Generalizable to Multiple Physical Devices

Year: 2023

Type: preprint

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 $\leq$ 0.04 dB$^2$) and different physical units of the same make (generalization MSE $\leq$ 0.06 dB$^2$).

Source: Figshare

DOI: 10.48550/arxiv.2009.05326

Authors: Francesco Da Ros (4798392), Uiara Celine de Moura (17327407), Metodi P. Yankov (17518356)

Language: English

Topic: Optical Network Technologies

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4287668806

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