| Jahr | 2022 |
| Autor(en) | Elias Arnold and Georg Böcherer and Eric Müller and Philipp Spilger and Johannes Schemmel and Stefano Calabrò and Maxim Kuschnerov |
| Titel | Spiking Neural Network Equalization on Neuromorphic Hardware for IM/DD Optical Communication |
| KIP-Nummer | HD-KIP 22-59 |
| KIP-Gruppe(n) | F9 |
| Dokumentart | Paper |
| doi | https://doi.org/10.48550/arXiv.2206.00401 |
| 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{arnold2022spikinghardware,
author = {Elias Arnold and Georg B{\"o}cherer and Eric M{\"u}ller and Philipp Spilger and Johannes Schemmel and Stefano Calabr{\`o} and Maxim Kuschnerov},
title = {Spiking Neural Network Equalization on Neuromorphic Hardware for {IM/DD} Optical Communication},
booktitle = {},
year = {2022},
month = {jun},
note = {accepted}
} |
