Energy-efficient Spiking Neural Network Equalization for IM/DD Systems with Optimized Neural Encoding
arXiv:2312.12909
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.
Accepted for publication at OFC 2024