Field and lab experimental demonstration of nonlinear impairment compensation using neural networks

Long-distance fiber communications still face many fundamental challenges in capacity due to nonlinearities. The authors develop a neural-network based tool to compensate nonlinearities, without prior knowledge of the transmission link, with low complexity.

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Autores principales:	Shaoliang Zhang, Fatih Yaman, Kohei Nakamura, Takanori Inoue, Valey Kamalov, Ljupcho Jovanovski, Vijay Vusirikala, Eduardo Mateo, Yoshihisa Inada, Ting Wang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/cece572b34244aa2acd4439c89f56685
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spelling	oai:doaj.org-article:cece572b34244aa2acd4439c89f566852021-12-02T14:35:31ZField and lab experimental demonstration of nonlinear impairment compensation using neural networks10.1038/s41467-019-10911-92041-1723https://doaj.org/article/cece572b34244aa2acd4439c89f566852019-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-10911-9https://doaj.org/toc/2041-1723Long-distance fiber communications still face many fundamental challenges in capacity due to nonlinearities. The authors develop a neural-network based tool to compensate nonlinearities, without prior knowledge of the transmission link, with low complexity.Shaoliang ZhangFatih YamanKohei NakamuraTakanori InoueValey KamalovLjupcho JovanovskiVijay VusirikalaEduardo MateoYoshihisa InadaTing WangNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-8 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Shaoliang Zhang Fatih Yaman Kohei Nakamura Takanori Inoue Valey Kamalov Ljupcho Jovanovski Vijay Vusirikala Eduardo Mateo Yoshihisa Inada Ting Wang Field and lab experimental demonstration of nonlinear impairment compensation using neural networks
description	Long-distance fiber communications still face many fundamental challenges in capacity due to nonlinearities. The authors develop a neural-network based tool to compensate nonlinearities, without prior knowledge of the transmission link, with low complexity.
format	article
author	Shaoliang Zhang Fatih Yaman Kohei Nakamura Takanori Inoue Valey Kamalov Ljupcho Jovanovski Vijay Vusirikala Eduardo Mateo Yoshihisa Inada Ting Wang
author_facet	Shaoliang Zhang Fatih Yaman Kohei Nakamura Takanori Inoue Valey Kamalov Ljupcho Jovanovski Vijay Vusirikala Eduardo Mateo Yoshihisa Inada Ting Wang
author_sort	Shaoliang Zhang
title	Field and lab experimental demonstration of nonlinear impairment compensation using neural networks
title_short	Field and lab experimental demonstration of nonlinear impairment compensation using neural networks
title_full	Field and lab experimental demonstration of nonlinear impairment compensation using neural networks
title_fullStr	Field and lab experimental demonstration of nonlinear impairment compensation using neural networks
title_full_unstemmed	Field and lab experimental demonstration of nonlinear impairment compensation using neural networks
title_sort	field and lab experimental demonstration of nonlinear impairment compensation using neural networks
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/cece572b34244aa2acd4439c89f56685
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Field and lab experimental demonstration of nonlinear impairment compensation using neural networks

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