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Compensation of nonlinear distortion in coherent optical OFDM systems using a MIMO deep neural network-based equalizer. / Aldaya, Ivan; Giacoumidis, Elias; Tsokanos, Athanasios; Jarajreh, Mutsam; Wen, Yannuo; Wei, Jinlong; Campuzano, Gabriel; Abbade, Marcelo L.F.; Barry, Liam P.

In: Optics Letters, Vol. 45, No. 20, 15.10.2020, p. 5820-5823.

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Harvard

Aldaya, I, Giacoumidis, E, Tsokanos, A, Jarajreh, M, Wen, Y, Wei, J, Campuzano, G, Abbade, MLF & Barry, LP 2020, 'Compensation of nonlinear distortion in coherent optical OFDM systems using a MIMO deep neural network-based equalizer', Optics Letters, vol. 45, no. 20, pp. 5820-5823. https://doi.org/10.1364/OL.403778

APA

Aldaya, I., Giacoumidis, E., Tsokanos, A., Jarajreh, M., Wen, Y., Wei, J., Campuzano, G., Abbade, M. L. F., & Barry, L. P. (2020). Compensation of nonlinear distortion in coherent optical OFDM systems using a MIMO deep neural network-based equalizer. Optics Letters, 45(20), 5820-5823. https://doi.org/10.1364/OL.403778

Vancouver

Author

Aldaya, Ivan ; Giacoumidis, Elias ; Tsokanos, Athanasios ; Jarajreh, Mutsam ; Wen, Yannuo ; Wei, Jinlong ; Campuzano, Gabriel ; Abbade, Marcelo L.F. ; Barry, Liam P. / Compensation of nonlinear distortion in coherent optical OFDM systems using a MIMO deep neural network-based equalizer. In: Optics Letters. 2020 ; Vol. 45, No. 20. pp. 5820-5823.

Bibtex

@article{132198c1e3104ad1a7d58d61b0099a22,
title = "Compensation of nonlinear distortion in coherent optical OFDM systems using a MIMO deep neural network-based equalizer",
abstract = "A novel nonlinear equalizer based on a multiple-input multiple-output (MIMO) deep neural network (DNN) is proposed and experimentally demonstrated for compensation of inter-subcarrier nonlinearities in a 40 Gb/s coherent optical orthogonal frequency division multiplexing system. Experimental results reveal that MIMO-DNN can extend the power margin by 4 dB at 2000 km of standard single-mode fiber transmission when compared to linear compensation or conventional single-input single-output DNN. It is also found that MIMO-DNN outperforms digital back propagation by increasing up to 1 dB the effective Q-factor and reducing by a factor of three the computational cost. ",
author = "Ivan Aldaya and Elias Giacoumidis and Athanasios Tsokanos and Mutsam Jarajreh and Yannuo Wen and Jinlong Wei and Gabriel Campuzano and Abbade, {Marcelo L.F.} and Barry, {Liam P.}",
note = "Funding Information: Funding. Funda{\c c}{\~a}o de Amparo {\`a} Pesquisa do Estado de S{\~a}o Paulo (2018/25339-4); Science Foundation Ireland (12/RC/2276, 13/RC/2077, 15/US-C2C/I3132); Conselho Nacional de Desenvolvimento Cient{\'i}fico e Tecnol{\'o}gico (311035/2018-3, 432303/2018-9). Publisher Copyright: {\textcopyright} 2020 Optical Society of America.",
year = "2020",
month = oct,
day = "15",
doi = "10.1364/OL.403778",
language = "English",
volume = "45",
pages = "5820--5823",
journal = "Optics Letters",
issn = "0146-9592",
publisher = "The Optical Society",
number = "20",

}

RIS

TY - JOUR

T1 - Compensation of nonlinear distortion in coherent optical OFDM systems using a MIMO deep neural network-based equalizer

AU - Aldaya, Ivan

AU - Giacoumidis, Elias

AU - Tsokanos, Athanasios

AU - Jarajreh, Mutsam

AU - Wen, Yannuo

AU - Wei, Jinlong

AU - Campuzano, Gabriel

AU - Abbade, Marcelo L.F.

AU - Barry, Liam P.

N1 - Funding Information: Funding. Fundação de Amparo à Pesquisa do Estado de São Paulo (2018/25339-4); Science Foundation Ireland (12/RC/2276, 13/RC/2077, 15/US-C2C/I3132); Conselho Nacional de Desenvolvimento Científico e Tecnológico (311035/2018-3, 432303/2018-9). Publisher Copyright: © 2020 Optical Society of America.

PY - 2020/10/15

Y1 - 2020/10/15

N2 - A novel nonlinear equalizer based on a multiple-input multiple-output (MIMO) deep neural network (DNN) is proposed and experimentally demonstrated for compensation of inter-subcarrier nonlinearities in a 40 Gb/s coherent optical orthogonal frequency division multiplexing system. Experimental results reveal that MIMO-DNN can extend the power margin by 4 dB at 2000 km of standard single-mode fiber transmission when compared to linear compensation or conventional single-input single-output DNN. It is also found that MIMO-DNN outperforms digital back propagation by increasing up to 1 dB the effective Q-factor and reducing by a factor of three the computational cost.

AB - A novel nonlinear equalizer based on a multiple-input multiple-output (MIMO) deep neural network (DNN) is proposed and experimentally demonstrated for compensation of inter-subcarrier nonlinearities in a 40 Gb/s coherent optical orthogonal frequency division multiplexing system. Experimental results reveal that MIMO-DNN can extend the power margin by 4 dB at 2000 km of standard single-mode fiber transmission when compared to linear compensation or conventional single-input single-output DNN. It is also found that MIMO-DNN outperforms digital back propagation by increasing up to 1 dB the effective Q-factor and reducing by a factor of three the computational cost.

UR - http://www.scopus.com/inward/record.url?scp=85093493084&partnerID=8YFLogxK

U2 - 10.1364/OL.403778

DO - 10.1364/OL.403778

M3 - Article

C2 - 33057293

AN - SCOPUS:85093493084

VL - 45

SP - 5820

EP - 5823

JO - Optics Letters

JF - Optics Letters

SN - 0146-9592

IS - 20

ER -