Reservoir Computing-based Multi-Symbol Equalization for PAM 4 Short-reach Transmission
arXiv:2212.00738v19 citationsh-index: 40
Originality Incremental advance
AI Analysis
This addresses signal processing efficiency for short-reach optical communication systems, but appears incremental as it builds on existing reservoir computing methods.
The paper tackled equalization for 32-GBd PAM4 transmission by proposing a spectrum-sliced reservoir computing-based multi-symbol approach, achieving an order of magnitude reduction in multiplications per symbol compared to single-output methods while maintaining simple training.
We propose spectrum-sliced reservoir computer-based (RC) multi-symbol equalization for 32-GBd PAM4 transmission. RC with 17 symbols at the output achieves an order of magnitude reduction in multiplications/symbol versus single output case while maintaining simple training.