Nonlinear Equalization in Long Haul Transmission Systems Using Dynamic Multi-Layer Perceptron Networks

Oleg Sidelnikov; Alexey A. Redyuk; Stylianos Sygletos

doi:10.1109/ECOC.2018.8535144

Nonlinear Equalization in Long Haul Transmission Systems Using Dynamic Multi-Layer Perceptron Networks

Oleg Sidelnikov
, Alexey A. Redyuk
, Stylianos Sygletos

Aston University
Institute for Computational Technologies
Novosibirsk State University

Research output: Chapter in Book/Published conference output › Conference publication

11 Citations (Scopus)

116 Downloads (Pure)

Abstract

In this paper we investigate the application of dynamic multi-leyer perceptron networks for long haul transmission systems showing performance improvement and significant superiority of neural network complexity over digital back-propagation method.

Original language	English
Title of host publication	2018 European Conference on Optical Communication (ECOC)
Publisher	IEEE
ISBN (Electronic)	978-1-5386-4862-9
ISBN (Print)	978-1-5386-4863-6
DOIs	https://doi.org/10.1109/ECOC.2018.8535144
Publication status	Published - 15 Nov 2018
Event	2018 European Conference on Optical Communication (ECOC) - Rome, Italy Duration: 23 Sept 2018 → 27 Sept 2018

Conference

Conference	2018 European Conference on Optical Communication (ECOC)
Country/Territory	Italy
City	Rome
Period	23/09/18 → 27/09/18

Bibliographical note

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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10.1109/ECOC.2018.8535144

Nonlinear Equalization in Long Haul Transmission Systems Using Dynamic Multi-Layer Perceptron Networks
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Accepted author manuscript, 423 KB

Cite this

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title = "Nonlinear Equalization in Long Haul Transmission Systems Using Dynamic Multi-Layer Perceptron Networks",

abstract = "In this paper we investigate the application of dynamic multi-leyer perceptron networks for long haul transmission systems showing performance improvement and significant superiority of neural network complexity over digital back-propagation method.",

author = "Oleg Sidelnikov and Redyuk, \{Alexey A.\} and Stylianos Sygletos",

note = "{\textcopyright} 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. ; 2018 European Conference on Optical Communication (ECOC) ; Conference date: 23-09-2018 Through 27-09-2018",

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AU - Sidelnikov, Oleg

AU - Redyuk, Alexey A.

AU - Sygletos, Stylianos

N1 - © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2018/11/15

Y1 - 2018/11/15

N2 - In this paper we investigate the application of dynamic multi-leyer perceptron networks for long haul transmission systems showing performance improvement and significant superiority of neural network complexity over digital back-propagation method.

AB - In this paper we investigate the application of dynamic multi-leyer perceptron networks for long haul transmission systems showing performance improvement and significant superiority of neural network complexity over digital back-propagation method.

UR - https://ieeexplore.ieee.org/document/8535144

U2 - 10.1109/ECOC.2018.8535144

DO - 10.1109/ECOC.2018.8535144

M3 - Conference publication

SN - 978-1-5386-4863-6

BT - 2018 European Conference on Optical Communication (ECOC)

PB - IEEE

T2 - 2018 European Conference on Optical Communication (ECOC)

Y2 - 23 September 2018 through 27 September 2018

ER -

Nonlinear Equalization in Long Haul Transmission Systems Using Dynamic Multi-Layer Perceptron Networks

Abstract

Conference

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