year | 2022 |
author(s) | Elias Arnold, Georg Böcherer, Eric Müller, Philipp Spilger, Johannes Schemmel, Stefano Calabrò, Maxim Kuschnerov |
title | Spiking Neural Network Equalization on Neuromorphic Hardware for IM/DD Optical Communication |
KIP-Nummer | HD-KIP 22-36 |
KIP-Gruppe(n) | F9 |
document type | Paper |
Abstract (de) |
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Abstract (en) | A spiking neural network (SNN) non-linear equalizer model is implemented on the mixed-signal neuromorphic hardware system BrainScaleS-2 and evaluated for an IM/DD link. The BER 2e-3 is achieved with a hardware penalty less than 1 dB, outperforming numeric linear equalization. |
bibtex | @inproceedings{arnold2022neuromorphic, author = {Elias Arnold and Georg Böcherer and Eric Müller and Philipp Spilger and Johannes Schemmel and Stefano Calabrò and Maxim Kuschnerov}, title = {Spiking Neural Network Equalization on Neuromorphic Hardware for IM/DD Optical Communication}, booktitle = {European Conference on Optical Communication (ECOC)}, year = {2022}, volume = {}, pages = {}, note = {https://arxiv.org/abs/2206.00401} } |