Machine Learning based Noise Estimation in Optical Fiber Communication Networks
Accepted version
Peer-reviewed
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Repository DOI
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Authors
Savory, Seb J
Caballero, FJ Vaquero
IEEE
Abstract
In this paper, we discuss a machine learning based approach to jointly estimating both linear and nonlinear noise contributions in an optical fiber communication link. We will expound the rational for utilizing machine learning for this problem, before discussing current progress and then concluding with future research directions.
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Journal Title
2018 IEEE PHOTONICS SOCIETY SUMMER TOPICAL MEETING SERIES (SUM)
Conference Name
2018 IEEE Photonics Society Summer Topical Meeting Series (SUM).
Journal ISSN
2376-8614
Volume Title
Publisher
IEEE
Publisher DOI
Sponsorship
Engineering and Physical Sciences Research Council (EP/L026155/2)
The authors gratefully acknowledge the donation of equipment, funding and support from Ciena. This research was performed under the auspices of a Ciena university collaborative research grant. S. J. Savory also acknowledges support from UK EPSRC (through the project INSIGHT EP/L026155/2).