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The Ethereal
Encoding Optimization for Low-Complexity Spiking Neural Network Equalizers in IM/DD Systems
August 19, 2025 ยท Declared Dead ยท ๐ European Conference on Optical Communication
"No code URL or promise found in abstract"
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Authors
Eike-Manuel Edelmann, Alexander von Bank, Laurent Schmalen
arXiv ID
2508.13783
Category
cs.NE: Neural & Evolutionary
Cross-listed
eess.SP
Citations
0
Venue
European Conference on Optical Communication
Last Checked
4 months ago
Abstract
Neural encoding parameters for spiking neural networks (SNNs) are typically set heuristically. We propose a reinforcement learning-based algorithm to optimize them. Applied to an SNN-based equalizer and demapper in an IM/DD system, the method improves performance while reducing computational load and network size.
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