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

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Abstract

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.

© 2024 The Author(s)

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