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Experimental Comparisons between Machine Learning and Analytical Models for QoT Estimations in WDM Systems

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Abstract

We experimentally compare QoT estimations for WDM systems using Machine Learning(ML) and GN-based analytical models. ML estimates the side channels with better accuracy but is temporally less stable and less generalizable to different link configurations.

© 2020 The Author(s)

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