Nonlinear impairment compensation using neural networks

Shinsuke Fujisawa; Fatih Yaman; Hussam G. Batshon; Massaki Tanio; Naoto Ishii; Chaoran Huang; Thomas Ferreira de Lima; Yoshihisa Inada; Paul R. Prucnal; Norifumi Kamiya; Ting Wang

Nonlinear impairment compensation using neural networks

Shinsuke Fujisawa
, Fatih Yaman
, Hussam G. Batshon
, Massaki Tanio
, Naoto Ishii
, Chaoran Huang
, Thomas Ferreira de Lima
, Yoshihisa Inada
, Paul R. Prucnal
, Norifumi Kamiya
, Ting Wang

Research output: Contribution to journal › Conference article › peer-review

Abstract

Neural networks are attractive for nonlinear impairment compensation applications in communication systems. In this paper, several approaches to reduce computational complexity of the neural network-based algorithms are presented.

Original language	English (US)
Journal	Optics InfoBase Conference Papers
State	Published - 2021
Event	Optical Fiber Communication Conference, OFC 2021 - Virtual, Online, United States Duration: Jun 6 2021 → Jun 11 2021

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Cite this

@article{1cc800780c824bc08e87ac5fede726f1,

title = "Nonlinear impairment compensation using neural networks",

abstract = "Neural networks are attractive for nonlinear impairment compensation applications in communication systems. In this paper, several approaches to reduce computational complexity of the neural network-based algorithms are presented.",

author = "Shinsuke Fujisawa and Fatih Yaman and Batshon, \{Hussam G.\} and Massaki Tanio and Naoto Ishii and Chaoran Huang and \{de Lima\}, \{Thomas Ferreira\} and Yoshihisa Inada and Prucnal, \{Paul R.\} and Norifumi Kamiya and Ting Wang",

note = "Publisher Copyright: {\textcopyright} OSA 2021, {\textcopyright} 2021 The Author(s); Optical Fiber Communication Conference, OFC 2021 ; Conference date: 06-06-2021 Through 11-06-2021",

year = "2021",

language = "English (US)",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

}

TY - JOUR

T1 - Nonlinear impairment compensation using neural networks

AU - Fujisawa, Shinsuke

AU - Yaman, Fatih

AU - Batshon, Hussam G.

AU - Tanio, Massaki

AU - Ishii, Naoto

AU - Huang, Chaoran

AU - de Lima, Thomas Ferreira

AU - Inada, Yoshihisa

AU - Prucnal, Paul R.

AU - Kamiya, Norifumi

AU - Wang, Ting

PY - 2021

Y1 - 2021

N2 - Neural networks are attractive for nonlinear impairment compensation applications in communication systems. In this paper, several approaches to reduce computational complexity of the neural network-based algorithms are presented.

AB - Neural networks are attractive for nonlinear impairment compensation applications in communication systems. In this paper, several approaches to reduce computational complexity of the neural network-based algorithms are presented.

UR - https://www.scopus.com/pages/publications/85133760420

UR - https://www.scopus.com/pages/publications/85133760420#tab=citedBy

M3 - Conference article

AN - SCOPUS:85133760420

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

T2 - Optical Fiber Communication Conference, OFC 2021

Y2 - 6 June 2021 through 11 June 2021

ER -

Nonlinear impairment compensation using neural networks

Abstract

All Science Journal Classification (ASJC) codes

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