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Energy-efficient Spiking Neural Network Equalization for IM/DD Systems with Optimized Neural Encoding

Signal Processing 2023-12-21 v1 Machine Learning Neural and Evolutionary Computing
Authors: Alexander von Bank , Eike-Manuel Edelmann , Laurent Schmalen
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Abstract

We propose an energy-efficient equalizer for IM/DD systems based on spiking neural networks. We optimize a neural spike encoding that boosts the equalizer's performance while decreasing energy consumption.

Keywords

hardware acceleration

Cite

@article{arxiv.2312.12909,
  title  = {Energy-efficient Spiking Neural Network Equalization for IM/DD Systems with Optimized Neural Encoding},
  author = {Alexander von Bank and Eike-Manuel Edelmann and Laurent Schmalen},
  journal= {arXiv preprint arXiv:2312.12909},
  year   = {2023}
}

Comments

Accepted for publication at OFC 2024

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