Experimental realization of integrated photonic reservoir computing for nonlinear fiber distortion compensation
- Author
- Stijn Sackesyn, Chonghuai Ma (UGent) , Joni Dambre (UGent) and Peter Bienstman (UGent)
- Organization
- Project
-
- Center for nano- and biophotonics (NB-Photonics)
- PHRESCO (PHRESCO: PHotonic REservoir COmputing)
- Neuro-augmented 112Gbaud CMOS plasmonic transceiver platform for Intra- and Inter-DCI applications
- Abstract
- Nonlinearity mitigation in optical fiber networks is typically handled by electronic Digital Signal Processing (DSP) chips. Such DSP chips are costly, power-hungry and can introduce high latencies. Therefore, optical techniques are investigated which are more efficient in both power consumption and processing cost. One such a machine learning technique is optical reservoir computing, in which a photonic chip can be trained on certain tasks, with the potential advantages of higher speed, reduced power consumption and lower latency compared to its electronic counterparts. In this paper, experimental results are presented where nonlinear distortions in a 32 GBPS OOK signal are mitigated to below the 0.2 x 10(-3) FEC limit using a photonic reservoir. Furthermore, the results of the reservoir chip are compared to a tapped delay line filter to clearly show that the system performs nonlinear equalisation. (C) 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
- Keywords
- DISPERSION, COMMUNICATION, SIGNAL, EQUALIZATION, NETWORKS, SYSTEMS
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8727000
- MLA
- Sackesyn, Stijn, et al. “Experimental Realization of Integrated Photonic Reservoir Computing for Nonlinear Fiber Distortion Compensation.” OPTICS EXPRESS, vol. 29, no. 20, 2021, pp. 30991–97, doi:10.1364/OE.435013.
- APA
- Sackesyn, S., Ma, C., Dambre, J., & Bienstman, P. (2021). Experimental realization of integrated photonic reservoir computing for nonlinear fiber distortion compensation. OPTICS EXPRESS, 29(20), 30991–30997. https://doi.org/10.1364/OE.435013
- Chicago author-date
- Sackesyn, Stijn, Chonghuai Ma, Joni Dambre, and Peter Bienstman. 2021. “Experimental Realization of Integrated Photonic Reservoir Computing for Nonlinear Fiber Distortion Compensation.” OPTICS EXPRESS 29 (20): 30991–97. https://doi.org/10.1364/OE.435013.
- Chicago author-date (all authors)
- Sackesyn, Stijn, Chonghuai Ma, Joni Dambre, and Peter Bienstman. 2021. “Experimental Realization of Integrated Photonic Reservoir Computing for Nonlinear Fiber Distortion Compensation.” OPTICS EXPRESS 29 (20): 30991–30997. doi:10.1364/OE.435013.
- Vancouver
- 1.Sackesyn S, Ma C, Dambre J, Bienstman P. Experimental realization of integrated photonic reservoir computing for nonlinear fiber distortion compensation. OPTICS EXPRESS. 2021;29(20):30991–7.
- IEEE
- [1]S. Sackesyn, C. Ma, J. Dambre, and P. Bienstman, “Experimental realization of integrated photonic reservoir computing for nonlinear fiber distortion compensation,” OPTICS EXPRESS, vol. 29, no. 20, pp. 30991–30997, 2021.
@article{8727000,
abstract = {{Nonlinearity mitigation in optical fiber networks is typically handled by electronic Digital Signal Processing (DSP) chips. Such DSP chips are costly, power-hungry and can introduce high latencies. Therefore, optical techniques are investigated which are more efficient in both power consumption and processing cost. One such a machine learning technique is optical reservoir computing, in which a photonic chip can be trained on certain tasks, with the potential advantages of higher speed, reduced power consumption and lower latency compared to its electronic counterparts. In this paper, experimental results are presented where nonlinear distortions in a 32 GBPS OOK signal are mitigated to below the 0.2 x 10(-3) FEC limit using a photonic reservoir. Furthermore, the results of the reservoir chip are compared to a tapped delay line filter to clearly show that the system performs nonlinear equalisation. (C) 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement}},
author = {{Sackesyn, Stijn and Ma, Chonghuai and Dambre, Joni and Bienstman, Peter}},
issn = {{1094-4087}},
journal = {{OPTICS EXPRESS}},
keywords = {{DISPERSION,COMMUNICATION,SIGNAL,EQUALIZATION,NETWORKS,SYSTEMS}},
language = {{eng}},
number = {{20}},
pages = {{30991--30997}},
title = {{Experimental realization of integrated photonic reservoir computing for nonlinear fiber distortion compensation}},
url = {{http://doi.org/10.1364/OE.435013}},
volume = {{29}},
year = {{2021}},
}
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