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

Publication Date: 3/24/2024

Event: OFC 2024

Reference: M1H.6: 1-3, 2024

Authors: Zehao Wang, Duke University; Yue-Kai Huang, NEC Laboratories America, Inc.; Shaobo Han, NEC Laboratories America, Inc.; Ting Wang, NEC Laboratories America, Inc.; Daniel Kilper, CONNECT Centre, Trinity College; Tingjun Chen, Duke University

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.

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