Intelligent Filtering-Penalty Monitoring and Mitigation for Cascaded WSSs using Ensemble Learning Algorithm

Publication Date: 9/23/2018

Event: ECOC 2018

Reference: pp. 1-3, 2018

Authors: Shaoliang Zhang, NEC Laboratories America, Inc.; Weiyang Mo, NEC Laboratories America, Inc., University of Arizona; Yue-Kai Huang, NEC Laboratories America, Inc.; Fatih Yaman, NEC Laboratories America, Inc.; Philip N. Ji, NEC Laboratories America, Inc.; Eduardo Mateo, NEC Corporation; Yoshihisa Inada, NEC Corporation

Abstract: An ensemble learning algorithm is applied to enhance filtering tolerance of cascaded WSSs in open ROADM environment to demonstrate ~0.8dB Q-factor improvement over MLSE after transmitting over 3200km with 16 ROADMs.

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