Title :
Nonlinear decision boundary created by a machine learning-based classifier to mitigate nonlinear phase noise
Author :
Danshi Wang;Min Zhang;Ze Li;Yue Cui;Jingdan Liu;Yang Yang;Hongxiang Wang
Author_Institution :
State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China
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.
Keywords :
"Support vector machines","Binary phase shift keying","Bit error rate","Maximum likelihood estimation","Optical fibers","Optical fiber communication"
Conference_Titel :
Optical Communication (ECOC), 2015 European Conference on
DOI :
10.1109/ECOC.2015.7341753
