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Title: Machine learning-assisted optical performance monitoring in fiber-optic networks
Authors: Khan, FN 
Fan, Q 
Lu, C 
Lau, APT 
Issue Date: 2018
Source: 2018 IEEE Photonics Society Summer Topical Meeting Series (SUM), Waikoloa, HI, USA, 9-11 July 2018, p. 53-54
Abstract: We review machine learning (ML)-based optical performance monitoring (OPM) techniques in optical communications. Recent applications of ML-Assisted OPM in different aspects of fiber-optic networking including cognitive fault detection and management, network equipment failure prediction, and dynamic planning and optimization of software-defined networks are also discussed.
Keywords: Fiber-optic networks
Machine learning
Optical performance monitoring
Software-defined networks
Publisher: IEEE
ISBN: 978-1-5386-5343-2 (Electronic)
978-1-5386-5344-9 (Print on Demand(PoD))
DOI: 10.1109/PHOSST.2018.8456700
Description: 2018 IEEE Photonics Society Summer Topical Meeting Series (SUM), 9-11 July 2018, Waikoloa, HI, USA
Rights: ©2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
The following publication F. N. Khan, Q. Fan, C. Lu and A. P. T. Lau, "Machine Learning-Assisted Optical Performance Monitoring in Fiber-Optic Networks," 2018 IEEE Photonics Society Summer Topical Meeting Series (SUM), 2018, pp. 53-54 is available at https://doi.org/10.1109/PHOSST.2018.8456700.
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