Spiking Neural Network Equalization on Neuromorphic Hardware for IM/DD Optical Communication
Year: 2022
Type: preprint
Abstract: 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.
Source: arXiv (Cornell University)
Authors: Arnold, Elias, Böcherer, Georg, Müller, Eric, Spilger, Philipp, Schemmel, Johannes, Calabrò, Stefano, Kuschnerov, Maxim
Institutions: Heidelberg University, Huawei Technologies (Germany)
Language: English
Topic: Optical Network Technologies
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Funder: Deutsche Forschungsgemeinschaft
OpenAlex ID: W4281764703