Optical Performance Monitoring in Fiber-Optic Networks Enabled by Machine Learning Techniques

机译：机器学习技术在光纤网络中的光学性能监控

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摘要

We review applications of machine learning (ML) in various aspects of optical communications including optical performance monitoring, fiber nonlinearity compensation, and software-defined networking. The future role of ML in optical communications is also discussed.

机译：我们回顾了机器学习（ML）在光学通信各个方面的应用，包括光学性能监控，光纤非线性补偿和软件定义的网络。还讨论了ML在光通信中的未来作用。

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来源
《2018 Optical Fiber Communications Conference and Exposition》|2018年|1-3|共3页
会议地点 San Diego(US)
作者
Faisal Nadeem Khan; Chao Lu; Alan Pak Tao Lau;
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作者单位

Photonics Research Centre, Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong;

Photonics Research Centre, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong;

Photonics Research Centre, Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
Optical fiber networks; Optical fibers; Monitoring; Optical fiber devices; Optical receivers;

机译：光纤网络;光纤;监控;光纤设备;光接收器;;

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专利

1. Two use cases of machine learning for SDN-enabled ip/optical networks: traffic matrix prediction and optical path performance prediction [Invited] [J] . Gagan Choudhury, David Lynch, Gaurav Thakur, Optical Communications and Networking, IEEE/OSA Journal of . 2018,第10期

机译：支持SDN的ip /光网络的两种机器学习用例：流量矩阵预测和光路性能预测[已邀请]
2. Loss classification in optical burst switching networks using machine learning techniques: improving the performance of TCP [J] . Jayaraj A., Venkatesh T., Murthy C.S.R. IEEE Journal on Selected Areas in Communications . 2008,第期

机译：使用机器学习技术的光突发交换网络中的损耗分类：提高TCP的性能
3. Machine Learning Techniques for Optical Performance Monitoring From Directly Detected PDM-QAM Signals [J] . Jakob Thrane, Jesper Wass, Molly Piels, Journal of Lightwave Technology . 2017,第4期

机译：通过直接检测的PDM-QAM信号进行光学性能监控的机器学习技术
4. Optical Performance Monitoring in Fiber-Optic Networks Enabled by Machine Learning Techniques [C] . Faisal Nadeem Khan, Chao Lu, Alan Pak Tao Lau Optical Fiber Communications Conference and Exposition . 2018

机译：通过机器学习技术启用光纤网络中的光学性能监控
5. Signal processing techniques for optical performance monitoring in dynamic fiber-optic networks [D] . Khan, Faisal Nadeem 2011

机译：动态光纤网络中用于光学性能监控的信号处理技术
6. FSF: Applying Machine Learning Techniques to Data Forwarding in Socially Selfish Opportunistic Networks [O] . Camilo Souza, Edjair Mota, Diogo Soares, 2019

机译：FSF：在机器自私的机会网络中将机器学习技术应用于数据转发
7. Machine Learning Techniques for Optical Performance Monitoring and Modulation Format Identification: A Survey [O] . Waddah S. Saif, Maged A. Esmail, Amr M. Ragheb, 2020

机译：用于光学性能监测和调制格式的机器学习技术识别：调查

Optical Performance Monitoring in Fiber-Optic Networks Enabled by Machine Learning Techniques

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