Machine learning for performance improvement of periodic NFT-based communication system

Oleksandr Kotlyar; Morteza Kamalian Kopae; Jaroslaw E. Prilepsky; Maryna Pankratova; Sergei K. Turitsyn

Machine learning for performance improvement of periodic NFT-based communication system

Oleksandr Kotlyar, Morteza Kamalian Kopae, Jaroslaw E. Prilepsky, Maryna Pankratova, Sergei K. Turitsyn

Research output: Unpublished contribution to conference › Unpublished Conference Paper › peer-review

Abstract

We compare performance of several machine learning methods, including support vector machine, k-nearest neighbours, k-means
clustering, and Gaussian mixture model, used for increasing transmission reach in the optical communication system based on
the periodic nonlinear Fourier transform signal processing

Original language	English
Number of pages	4
Publication status	Published - 26 Sept 2019
Event	2019 European Conference on Optical Communications - Royal Dublin Society, Dublin, Ireland Duration: 22 Sept 2019 → 26 Sept 2019 Conference number: 45 https://www.ecoc2019.org/

Conference

Conference	2019 European Conference on Optical Communications
Abbreviated title	ECOC 2019
Country/Territory	Ireland
City	Dublin
Period	22/09/19 → 26/09/19
Internet address	https://www.ecoc2019.org/

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MACHINE LEARNING FOR PERFORMANCE IMPROVEMENTAccepted author manuscript, 533 KB

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title = "Machine learning for performance improvement of periodic NFT-based communication system",

abstract = "We compare performance of several machine learning methods, including support vector machine, k-nearest neighbours, k-meansclustering, and Gaussian mixture model, used for increasing transmission reach in the optical communication system based onthe periodic nonlinear Fourier transform signal processing",

author = "Oleksandr Kotlyar and {Kamalian Kopae}, Morteza and Prilepsky, {Jaroslaw E.} and Maryna Pankratova and Turitsyn, {Sergei K.}",

note = "{\textcopyright} The Authors; 2019 European Conference on Optical Communications, ECOC 2019 ; Conference date: 22-09-2019 Through 26-09-2019",

year = "2019",

month = sep,

day = "26",

language = "English",

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TY - CONF

T1 - Machine learning for performance improvement of periodic NFT-based communication system

AU - Kotlyar, Oleksandr

AU - Kamalian Kopae, Morteza

AU - Prilepsky, Jaroslaw E.

AU - Pankratova, Maryna

AU - Turitsyn, Sergei K.

N1 - Conference code: 45

PY - 2019/9/26

Y1 - 2019/9/26

N2 - We compare performance of several machine learning methods, including support vector machine, k-nearest neighbours, k-meansclustering, and Gaussian mixture model, used for increasing transmission reach in the optical communication system based onthe periodic nonlinear Fourier transform signal processing

AB - We compare performance of several machine learning methods, including support vector machine, k-nearest neighbours, k-meansclustering, and Gaussian mixture model, used for increasing transmission reach in the optical communication system based onthe periodic nonlinear Fourier transform signal processing

M3 - Unpublished Conference Paper

T2 - 2019 European Conference on Optical Communications

Y2 - 22 September 2019 through 26 September 2019

ER -

Machine learning for performance improvement of periodic NFT-based communication system

Abstract

Conference

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