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)

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

205 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

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