Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Application of Machine Learning Techniques in Fiber-Optic Communication Systems

Not Accessible

Your library or personal account may give you access


We discuss machine learning applications in different aspects of fiber-optic communications including fiber nonlinearity compensation, optical performance monitoring, cognitive fault detection/prevention, and planning and optimization of software-defined networks.

© 2018 The Author(s)

PDF Article
More Like This
Optical Performance Monitoring in Fiber-Optic Networks Enabled by Machine Learning Techniques

Faisal Nadeem Khan, Chao Lu, and Alan Pak Tao Lau
M2F.3 Optical Fiber Communication Conference (OFC) 2018

Machine Learning Methods for Optical Communication Systems

Faisal Nadeem Khan, Chao Lu, and Alan Pak Tao Lau
SpW2F.3 Signal Processing in Photonic Communications (SPPCom) 2017

Applications of Machine Learning in Optical Communications and Networks

Faisal N. Khan, Qirui Fan, Jianing Lu, Gai Zhou, Chao Lu, and Pak Tao Lau
M1G.5 Optical Fiber Communication Conference (OFC) 2020


You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
Login to access Optica Member Subscription

Select as filters

Select Topics Cancel
© Copyright 2022 | Optica Publishing Group. All Rights Reserved