Multitask Learning-Based Optical Performance Monitor for Modulation Format Adaptive M-QAM

摘要

We propose a cost-effective optical performance monitor using multitask learning-based ANN to simultaneously monitor OSNR and modulation format. Compared with individual designed ANNs, about 87.6% complexity in prediction stage is reduced.