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Nonlinear decision boundary created by a machine learning-based classifier to mitigate nonlinear phase noise | IEEE Conference Publication | IEEE Xplore

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


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 ...Show More

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.
Date of Conference: 27 September 2015 - 01 October 2015
Date Added to IEEE Xplore: 03 December 2015
Electronic ISBN:978-8-4608-1741-3
Conference Location: Valencia, Spain

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