Machine Learning-Assisted Optical Performance Monitoring in Fiber-Optic Networks

被引：0

作者：

Khan, Faisal Nadeem ^{[1
]}

Fan, Qirui ^{[1
]}

Lu, Chao ^{[2
]}

Lau, Alan Pak Tao ^{[1
]}

机构：

[1] Hong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Peoples R China

[2] Hong Kong Polytech Univ, Dept Elect & Informat Engn, Hong Kong, Peoples R China

来源：

2018 IEEE PHOTONICS SOCIETY SUMMER TOPICAL MEETING SERIES (SUM) | 2018年

关键词：

Optical performance monitoring; machine learning; software-defined networks; fiber-optic networks; IDENTIFICATION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：53 / 54

页数：2

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