Artificial neural network nonlinear equalizer for coherent optical OFDM

Mutsam A. Jarajreh; Elias Giacoumidis; Ivan Aldaya; Son Thai Le; Athanasios Tsokanos; Zabih Ghassemlooy; Nick J. Doran

doi:10.1109/LPT.2014.2375960

Artificial neural network nonlinear equalizer for coherent optical OFDM

Mutsam A. Jarajreh
, Elias Giacoumidis
, Ivan Aldaya
, Son Thai Le
, Athanasios Tsokanos
, Zabih Ghassemlooy
, Nick J. Doran

Aston Institute of Photonic Technologies (AiPT)

University of Northumbria Newcastle
Instituto Tecnologico y de Estudios Superiores de Monterrey
Plymouth University

Research output: Contribution to journal › Article › peer-review

211 Citations (SciVal)

Abstract

We propose a novel low-complexity artificial neural network (ANN)-based nonlinear equalizer (NLE) for coherent optical orthogonal frequency-division multiplexing (CO-OFDM) and compare it with the recent inverse Volterra-series transfer function (IVSTF)-based NLE over up to 1000 km of uncompensated links. Demonstration of ANN-NLE at 80-Gb/s CO-OFDM using 16-quadrature amplitude modulation reveals a Q-factor improvement after 1000-km transmission of 3 and 1 dB with respect to the linear equalization and IVSTF-NLE, respectively.

Original language	English
Pages (from-to)	387-390
Number of pages	17
Journal	IEEE Photonics Technology Letters
Volume	27
Issue number	4
Early online date	21 Jan 2015
DOIs	https://doi.org/10.1109/LPT.2014.2375960
Publication status	Published - 15 Feb 2015

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title = "Artificial neural network nonlinear equalizer for coherent optical OFDM",

abstract = "We propose a novel low-complexity artificial neural network (ANN)-based nonlinear equalizer (NLE) for coherent optical orthogonal frequency-division multiplexing (CO-OFDM) and compare it with the recent inverse Volterra-series transfer function (IVSTF)-based NLE over up to 1000 km of uncompensated links. Demonstration of ANN-NLE at 80-Gb/s CO-OFDM using 16-quadrature amplitude modulation reveals a Q-factor improvement after 1000-km transmission of 3 and 1 dB with respect to the linear equalization and IVSTF-NLE, respectively.",

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AU - Jarajreh, Mutsam A.

AU - Giacoumidis, Elias

AU - Aldaya, Ivan

AU - Le, Son Thai

AU - Tsokanos, Athanasios

AU - Ghassemlooy, Zabih

AU - Doran, Nick J.

PY - 2015/2/15

Y1 - 2015/2/15

N2 - We propose a novel low-complexity artificial neural network (ANN)-based nonlinear equalizer (NLE) for coherent optical orthogonal frequency-division multiplexing (CO-OFDM) and compare it with the recent inverse Volterra-series transfer function (IVSTF)-based NLE over up to 1000 km of uncompensated links. Demonstration of ANN-NLE at 80-Gb/s CO-OFDM using 16-quadrature amplitude modulation reveals a Q-factor improvement after 1000-km transmission of 3 and 1 dB with respect to the linear equalization and IVSTF-NLE, respectively.

AB - We propose a novel low-complexity artificial neural network (ANN)-based nonlinear equalizer (NLE) for coherent optical orthogonal frequency-division multiplexing (CO-OFDM) and compare it with the recent inverse Volterra-series transfer function (IVSTF)-based NLE over up to 1000 km of uncompensated links. Demonstration of ANN-NLE at 80-Gb/s CO-OFDM using 16-quadrature amplitude modulation reveals a Q-factor improvement after 1000-km transmission of 3 and 1 dB with respect to the linear equalization and IVSTF-NLE, respectively.

U2 - 10.1109/LPT.2014.2375960

DO - 10.1109/LPT.2014.2375960

M3 - Article

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VL - 27

SP - 387

EP - 390

JO - IEEE Photonics Technology Letters

JF - IEEE Photonics Technology Letters

IS - 4

ER -

Artificial neural network nonlinear equalizer for coherent optical OFDM

Abstract

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