Encoding Optimization for Low-Complexity Spiking Neural Network Equalizers in IM/DD Systems

Eike-Manuel Edelmann, Alexander von Bank, Laurent Schmalen

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 S…