Cascaded Micro-Ring Resonator Based Reservoir Computing for Optical Equalization of PAM-4 Short Reach Signals

This study presents a photonic reservoir computer based on cascaded micro-ring resonators and numerically investigates its application to signal equalization in a short-reach, wavelength-division multiplexing fiber-optic transmission system operating in the O-band at 112 GBd. In comparison to feed-forward equalization with an equivalent level of complexity in the digital domain with identical sampling rates, the reservoir computer is capable of reducing the bit-error ratio tenfold with the same receiver requirements and numbers of photo diodes. It is demonstrated that signal equalization based on this method is tolerant to changes in received optical power and of the transmission system as well as to manufacturing deviation in the radius and coupling zones of the reservoir computer photonic integrated circuit.

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Publication Details

Journal
Journal of Lightwave Technology
Published
2025-05-22
DOI
https://doi.org/10.1109/jlt.2025.3572354
Citations
1
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
2.48
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article

Cascaded Micro-Ring Resonator Based Reservoir Computing for Optical Equalization of PAM-4 Short Reach Signals

Sebastian Kühl, Amideddin Mataji‐Kojouri, Stephan Pachnicke, Silas Oettinghaus et al.
1 citations
Journal of Lightwave Technology
Neural Networks and Reservoir Computing
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article

Cascaded Micro-Ring Resonator Based Reservoir Computing for Optical Equalization of PAM-4 Short Reach Signals

Sebastian Kühl, Amideddin Mataji‐Kojouri, Stephan Pachnicke, Silas Oettinghaus, Kambiz Jamshidi, Mohammad Seifi Laleh
article en
1 citations

Abstract

This study presents a photonic reservoir computer based on cascaded micro-ring resonators and numerically investigates its application to signal equalization in a short-reach, wavelength-division multiplexing fiber-optic transmission system operating in the O-band at 112 GBd. In comparison to feed-forward equalization with an equivalent level of complexity in the digital domain with identical sampling rates, the reservoir computer is capable of reducing the bit-error ratio tenfold with the same receiver requirements and numbers of photo diodes. It is demonstrated that signal equalization based on this method is tolerant to changes in received optical power and of the transmission system as well as to manufacturing deviation in the radius and coupling zones of the reservoir computer photonic integrated circuit.

Journal of Lightwave TechnologyVol. 43(15)
Christian-Albrechts-Universität zu Kiel (DE), Technische Universität Dresden (DE)
Affordable and clean energy
Openalex Percentile: Top 10%
Neural Networks and Reservoir Computing
2.48
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