Prediction of Second-Order Moments of Inter-Channel Interference with Principal Component Analysis and Neural Networks

Rasmus Thomas Jones; Júlio César Medeiros Diniz; Metodi Plamenov Yankov; Molly Piels; Andy Doberstein; Darko Zibar

doi:10.1109/ECOC.2017.8346176

Prediction of Second-Order Moments of Inter-Channel Interference with Principal Component Analysis and Neural Networks

Rasmus Thomas Jones
, Júlio César Medeiros Diniz
, Metodi Plamenov Yankov
, Molly Piels
, Andy Doberstein
, Darko Zibar

Keysight Technologies GmbH

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

A machine learning framework for predicting auto-correlation functions of inter-channel nonlinearities within the uncompensated optical ﬁber link is proposed. Low generalization error is obtained on the test data.

Original language	English
Title of host publication	Proceedings of the 43rd European Conference and Exhibition on Optical Communications (ECOC 2017)
Number of pages	3
Publisher	IEEE
Publication date	2017
ISBN (Electronic)	978-1-5386-5624-2
DOIs	https://doi.org/10.1109/ECOC.2017.8346176
Publication status	Published - 2017
Event	43rd European Conference and Exhibition on Optical Communications (ECOC 2017) - The Swedish Exhibition & Congress Centre, Gothenburg, Sweden Duration: 17 Sept 2017 → 21 Sept 2017

Conference

Conference	43rd European Conference and Exhibition on Optical Communications (ECOC 2017)
Location	The Swedish Exhibition & Congress Centre
Country/Territory	Sweden
City	Gothenburg
Period	17/09/2017 → 21/09/2017

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RasmusJonesPaperEcoc2017Accepted author manuscript, 276 KB

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title = "Prediction of Second-Order Moments of Inter-Channel Interference with Principal Component Analysis and Neural Networks",

abstract = "A machine learning framework for predicting auto-correlation functions of inter-channel nonlinearities within the uncompensated optical ﬁber link is proposed. Low generalization error is obtained on the test data.",

author = "Jones, \{Rasmus Thomas\} and \{Medeiros Diniz\}, \{J{\'u}lio C{\'e}sar\} and Yankov, \{Metodi Plamenov\} and Molly Piels and Andy Doberstein and Darko Zibar",

year = "2017",

doi = "10.1109/ECOC.2017.8346176",

language = "English",

booktitle = "Proceedings of the 43rd European Conference and Exhibition on Optical Communications (ECOC 2017)",

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note = "43rd European Conference and Exhibition on Optical Communications (ECOC 2017), ECOC2017 ; Conference date: 17-09-2017 Through 21-09-2017",

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Jones, RT, Medeiros Diniz, JC, Yankov, MP, Piels, M, Doberstein, A & Zibar, D 2017, Prediction of Second-Order Moments of Inter-Channel Interference with Principal Component Analysis and Neural Networks. in Proceedings of the 43rd European Conference and Exhibition on Optical Communications (ECOC 2017). IEEE, 43rd European Conference and Exhibition on Optical Communications (ECOC 2017), Gothenburg, Sweden, 17/09/2017. https://doi.org/10.1109/ECOC.2017.8346176

Prediction of Second-Order Moments of Inter-Channel Interference with Principal Component Analysis and Neural Networks. / Jones, Rasmus Thomas; Medeiros Diniz, Júlio César; Yankov, Metodi Plamenov et al.
Proceedings of the 43rd European Conference and Exhibition on Optical Communications (ECOC 2017). IEEE, 2017.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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M3 - Article in proceedings

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Prediction of Second-Order Moments of Inter-Channel Interference with Principal Component Analysis and Neural Networks

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