This Special Issue contains a collection of outstanding papers covering several applications of machine learning in optical communications and networking, including: resource management in elastic optical networks, datacenters and ROADM-based networks; noise and signal-quality estimation; and traffic prediction. We provide a brief overview of the current state of machine learning in optical networks, followed by a categorization of the eleven papers in this special issue.

© 2018 Optical Society of America

Full Article  |  PDF Article
OSA Recommended Articles
Introduction to the Special Issue on Optical Network Design and Modeling

Massimo Tornatore, Nina Skorin-Kapov, and Pablo Pavon Mariño
J. Opt. Commun. Netw. 9(3) ODM1-ODM1 (2017)

Introduction to the OFC 2017 Special Issue

Ori Gerstel and Pat Iannone
J. Opt. Commun. Netw. 10(1) OFC1-OFC1 (2018)

Special Issue on Optical Data Center Networks

Anna Tzanakaki, Lena Wosinska, Laurent Schares, Hong Liu, and Dimitra Simeonidou
J. Opt. Commun. Netw. 10(7) ODC1-ODC3 (2018)

Cited By

OSA participates in Crossref's Cited-By Linking service. Citing articles from OSA journals and other participating publishers are listed here.

Alert me when this article is cited.