September 1, 2015

Nonlinear decision boundary created by a machine learning-based classifier to mitigate nonlinear phase noise

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Abstract

A machine learning-based classifier, namely SVM, is introduced to create the nonlinear decision boundary in M-ary PSK-based coherent optical system to mitigate NLPN. The maximum transmission distance and LPRD tolerance are improved by 480 km and 3.3 dBm for 8PSK.

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Wang et al. (Tue,) studied this question.

synapsesocial.com/papers/6a243fe7903f2a86b3a61a55 https://doi.org/https://doi.org/10.1109/ecoc.2015.7341753

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