Power and Modulation Format Transfer Learning for Neural Network\n Equalizers in Coherent Optical Transmission Systems

2021/06/24 by Pedro J. Freire, Daniel Abode, Freire, Pedro J. +5
Computer Science · Engineering · #Advanced Photonic Communication Systems #FOS: Electrical engineering #Neural Networks and Reservoir Computing #Optical Network Technologies #Signal Processing (eess.SP) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2106.13144

openalex publication_date 2021/06/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Transfer learning is proposed to adapt an NN-based nonlinear equalizer across\ndifferent launch powers and modulation formats using a 450km TWC-fiber\ntransmission. The result shows up to 92% reduction in epochs or 90% in the\ntraining dataset.\n

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