دورية
Spiking Neural Network Nonlinear Demapping on Neuromorphic Hardware for IM/DD Optical Communication
العنوان: | Spiking Neural Network Nonlinear Demapping on Neuromorphic Hardware for IM/DD Optical Communication |
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المؤلفون: | Arnold, Elias, Bocherer, Georg, Strasser, Florian, Muller, Eric, Spilger, Philipp, Billaudelle, Sebastian, Weis, Johannes, Schemmel, Johannes, Calabro, Stefano, Kuschnerov, Maxim |
المصدر: | Journal of Lightwave Technology; 2023, Vol. 41 Issue: 11 p3424-3431, 8p |
مستخلص: | Neuromorphic computing implementing spiking neural networks (SNN) is a promising technology for reducing the footprint of optical transceivers, as required by the fast-paced growth of data center traffic. In this work, an SNN nonlinear demapper is designed and evaluated on a simulated intensity-modulation direct-detection link with chromatic dispersion. The SNN demapper is implemented in software and on the analog neuromorphic hardware system BrainScaleS-2 (BSS-2). For comparison, linear equalization (LE), Volterra nonlinear equalization (VNLE), and nonlinear demapping by an artificial neural network (ANN) implemented in software are considered. At a pre-forward error correction bit error rate of |
قاعدة البيانات: | Supplemental Index |
تدمد: | 07338724 15582213 |
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DOI: | 10.1109/JLT.2023.3252819 |