Joint Optical Performance Monitoring and Modulation Format/Bit-Rate Identification by CNN-Based Multi-Task Learning

Joint Optical Performance Monitoring and Modulation Format/Bit-Rate Identification by CNN-Based Multi-Task Learning

A novel technique is proposed for joint multi-impairment optical performance monitoring (OPM) with bit-rate and modulation format identification (BR-MFI) in next-generation heterogeneous optic communication networks by convolution neural network (CNN)-based deep multi-task learning (MTL) on asynchro...

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Bibliographic Details
Main Authors: Xiaojie Fan, Yulai Xie, Fang Ren, Yiying Zhang, Xiaoshan Huang, Wei Chen, Tianwen Zhangsun, Jianping Wang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Photonics Journal
Subjects:
Optical performance monitoring (OPM)
bit-rate and modulation format identification (BR-MFI)
convolution neural network (CNN)
deep multi-task learning (MTL)
asynchronous delay-tap sampling (ADTS)
Online Access:https://ieeexplore.ieee.org/document/8463576/

Internet

https://ieeexplore.ieee.org/document/8463576/

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