Spiking Neural Network Decision Feedback Equalization for IM/DD Systems
arXiv:2304.14152v17 citationsh-index: 31
Originality Synthesis-oriented
AI Analysis
This addresses signal quality issues in optical communication systems, but it appears incremental as it adapts an existing SNN method to a specific domain.
The paper tackled signal distortion in intensity-modulation/direct-detection (IM/DD) optical communication systems by applying a spiking neural network (SNN) with decision feedback equalization, resulting in the SNN outperforming linear and artificial neural network (ANN) based equalizers.
A spiking neural network (SNN) equalizer with a decision feedback structure is applied to an IM/DD link with various parameters. The SNN outperforms linear and artificial neural network (ANN) based equalizers.