@inproceedings{5fdf5681b1f04dedafc8feb4e6f1bbbd,
title = "Applications of machine-learning in optical communications and networks",
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.",
keywords = "Artificial intelligence, Deep learning, Fiber-optic communications, Machine learning, Software-defined optical networks",
author = "Khan, {Faisal Nadeem} and Qirui Fan and Lau, {Alan Pak Tao} and Chao Lu",
note = "Publisher Copyright: {\textcopyright} 2020 SPIE.; Next-Generation Optical Communication: Components, Sub-Systems, and Systems IX 2020 ; Conference date: 05-02-2020 Through 06-02-2020",
year = "2020",
month = jan,
doi = "10.1117/12.2544102",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Guifang Li and Xiang Zhou",
booktitle = "Next-Generation Optical Communication",
address = "United States",
}