Experimental Demonstration of 4-Port Photonic Reservoir Computing for Equalization of 4 and 16 QAM Signals

We experimentally demonstrate the application of a passive 16-node photonic reservoir for analogue, hardware-based equalization of coherently modulated signals at 28 Gbaud. This integrated photonic network, termed the 4-port reservoir, replaces computationally expensive digital signal processing (DSP) procedures for both fiber impairment equalization, including chromatic dispersion, as well as for transceiver imbalance equalization. For full mitigation of transmission impairments, our photonic solution can seamlessly integrate with DSP blocks for frequency offset compensation and blind phase search, achieving bit error rates on-par with the legacy DSP blocks it replaces. The same reservoir is shown to successfully equalize both 4 and 16 QAM signals in a range of linear and nonlinear transmissions. ©2024 The Author(s)

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Publication Details

Journal
Journal of Lightwave Technology
Published
2024-08-15
DOI
https://doi.org/10.1109/jlt.2024.3444480
Citations
10
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
3.47

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article

Experimental Demonstration of 4-Port Photonic Reservoir Computing for Equalization of 4 and 16 QAM Signals

Stylianos Sygletos, Peter Bienstman, Stijn Sackesyn, Sarah Masaad
10 citations
Journal of Lightwave Technology
Neural Networks and Reservoir Computing
3.47
article

Experimental Demonstration of 4-Port Photonic Reservoir Computing for Equalization of 4 and 16 QAM Signals

Stylianos Sygletos, Peter Bienstman, Stijn Sackesyn, Sarah Masaad
article en
10 citations

Abstract

We experimentally demonstrate the application of a passive 16-node photonic reservoir for analogue, hardware-based equalization of coherently modulated signals at 28 Gbaud. This integrated photonic network, termed the 4-port reservoir, replaces computationally expensive digital signal processing (DSP) procedures for both fiber impairment equalization, including chromatic dispersion, as well as for transceiver imbalance equalization. For full mitigation of transmission impairments, our photonic solution can seamlessly integrate with DSP blocks for frequency offset compensation and blind phase search, achieving bit error rates on-par with the legacy DSP blocks it replaces. The same reservoir is shown to successfully equalize both 4 and 16 QAM signals in a range of linear and nonlinear transmissions. ©2024 The Author(s)

Journal of Lightwave TechnologyVol. 42(24)
Aston University (GB), Ghent University (BE)
Prometheus, Fonds Wetenschappelijk Onderzoek, Engineering and Physical Sciences Research Council
Affordable and clean energy
Openalex Percentile: Top 7%
Neural Networks and Reservoir Computing
3.47
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