| Jahr | 2022 |
| Autor(en) | Elias Arnold, Georg Böcherer, Eric Müller, Philipp Spilger, Johannes Schemmel, Stefano Calabrò, Maxim Kuschnerov |
| Titel | Spiking Neural Network Equalization on Neuromorphic Hardware for IM/DD Optical Communication |
| KIP-Nummer | HD-KIP 22-36 |
| KIP-Gruppe(n) | F9 |
| Dokumentart | Paper |
| Abstract (de) |
|
| 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 B\"ocherer and Eric M\"uller 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}
} |
