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A neuromorphic silicon photonics nonlinear equalizer for optical communications with intensity modulation and direct detection

Andrew Katumba (UGent) , Xin Yin (UGent) , Joni Dambre (UGent) and Peter Bienstman (UGent)
(2019) JOURNAL OF LIGHTWAVE TECHNOLOGY. 37(10). p.2232-2239
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Abstract
We present the design and numerical study of a nonlinear equalizer for optical communications based on silicon photonics and reservoir computing. The proposed equalizer leverages the optical information processing capabilities of integrated photonic reservoirs to combat distortions both in metro links of a few hundred kilometers and in high-speed short-reach intensity-modulation-direct-detection links. We show nonlinear compensation in unrepeated metro links of up to 200 km that outperform electrical feedforward equalizers based equalizers, and ultimately any linear compensation device. For a high-speed short-reach 40Gb/s link based on a distributed feedback laser and an electroabsorptive modulator, and considering a hard decision forward error correction limit of 0.2 x 10(-2), we can increase the reach by almost 10 km. Our equalizer is compact (only 16 nodes) and operates in the optical domain without the need for complex electronic DSP, meaning its performance is not bandwidth constrained. The approach is, therefore, a viable candidate even for equalization techniques far beyond 100G optical communication links.
Keywords
Atomic and Molecular Physics, and Optics, RESERVOIR, COMPENSATION, NODE, Neuromorphic computing, nonlinear equalization, reservoir computing, silicon photonics

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MLA
Katumba, Andrew, et al. “A Neuromorphic Silicon Photonics Nonlinear Equalizer for Optical Communications with Intensity Modulation and Direct Detection.” JOURNAL OF LIGHTWAVE TECHNOLOGY, vol. 37, no. 10, 2019, pp. 2232–39, doi:10.1109/jlt.2019.2900568.
APA
Katumba, A., Yin, X., Dambre, J., & Bienstman, P. (2019). A neuromorphic silicon photonics nonlinear equalizer for optical communications with intensity modulation and direct detection. JOURNAL OF LIGHTWAVE TECHNOLOGY, 37(10), 2232–2239. https://doi.org/10.1109/jlt.2019.2900568
Chicago author-date
Katumba, Andrew, Xin Yin, Joni Dambre, and Peter Bienstman. 2019. “A Neuromorphic Silicon Photonics Nonlinear Equalizer for Optical Communications with Intensity Modulation and Direct Detection.” JOURNAL OF LIGHTWAVE TECHNOLOGY 37 (10): 2232–39. https://doi.org/10.1109/jlt.2019.2900568.
Chicago author-date (all authors)
Katumba, Andrew, Xin Yin, Joni Dambre, and Peter Bienstman. 2019. “A Neuromorphic Silicon Photonics Nonlinear Equalizer for Optical Communications with Intensity Modulation and Direct Detection.” JOURNAL OF LIGHTWAVE TECHNOLOGY 37 (10): 2232–2239. doi:10.1109/jlt.2019.2900568.
Vancouver
1.
Katumba A, Yin X, Dambre J, Bienstman P. A neuromorphic silicon photonics nonlinear equalizer for optical communications with intensity modulation and direct detection. JOURNAL OF LIGHTWAVE TECHNOLOGY. 2019;37(10):2232–9.
IEEE
[1]
A. Katumba, X. Yin, J. Dambre, and P. Bienstman, “A neuromorphic silicon photonics nonlinear equalizer for optical communications with intensity modulation and direct detection,” JOURNAL OF LIGHTWAVE TECHNOLOGY, vol. 37, no. 10, pp. 2232–2239, 2019.
@article{8626282,
  abstract     = {{We present the design and numerical study of a nonlinear equalizer for optical communications based on silicon photonics and reservoir computing. The proposed equalizer leverages the optical information processing capabilities of integrated photonic reservoirs to combat distortions both in metro links of a few hundred kilometers and in high-speed short-reach intensity-modulation-direct-detection links. We show nonlinear compensation in unrepeated metro links of up to 200 km that outperform electrical feedforward equalizers based equalizers, and ultimately any linear compensation device. For a high-speed short-reach 40Gb/s link based on a distributed feedback laser and an electroabsorptive modulator, and considering a hard decision forward error correction limit of 0.2 x 10(-2), we can increase the reach by almost 10 km. Our equalizer is compact (only 16 nodes) and operates in the optical domain without the need for complex electronic DSP, meaning its performance is not bandwidth constrained. The approach is, therefore, a viable candidate even for equalization techniques far beyond 100G optical communication links.}},
  author       = {{Katumba, Andrew and Yin, Xin and Dambre, Joni and Bienstman, Peter}},
  issn         = {{0733-8724}},
  journal      = {{JOURNAL OF LIGHTWAVE TECHNOLOGY}},
  keywords     = {{Atomic and Molecular Physics,and Optics,RESERVOIR,COMPENSATION,NODE,Neuromorphic computing,nonlinear equalization,reservoir computing,silicon photonics}},
  language     = {{eng}},
  number       = {{10}},
  pages        = {{2232--2239}},
  title        = {{A neuromorphic silicon photonics nonlinear equalizer for optical communications with intensity modulation and direct detection}},
  url          = {{http://dx.doi.org/10.1109/jlt.2019.2900568}},
  volume       = {{37}},
  year         = {{2019}},
}

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