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Multiparameter Monitoring of PAM4 Signals Using Deep Learning

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Abstract

PAM4 signal performance monitoring is demonstrated using CNN-based deep learning. A 98.51% prediction accuracy is achieved for jointly monitoring multiple parameters including baud rate, probabilistic shaping, roll-off factor, optical signal-to-noise ratio, and chromatic dispersion.

© 2022 The Author(s)

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