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31 January 2020 Applications of machine-learning in optical communications and networks
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Abstract
We discuss various applications of machine learning techniques in different aspects of optical communications and networking including optical performance monitoring, fiber nonlinearity compensation, cognitive network failure prediction, dynamic planning and cross-layer optimization of software-defined networks, quality of transmission estimation, and physical layer design of optical communication systems. Recent works employing deep learning technologies are also discussed.
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Faisal Nadeem Khan, Qirui Fan, Alan Pak Tao Lau, and Chao Lu "Applications of machine-learning in optical communications and networks", Proc. SPIE 11309, Next-Generation Optical Communication: Components, Sub-Systems, and Systems IX, 113090L (31 January 2020); https://doi.org/10.1117/12.2544102
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