Reservoir Computing-based Multi-Symbol Equalization for PAM 4 Short-reach Transmission

TL;DR

This paper introduces a reservoir computing approach for multi-symbol equalization in high-speed PAM4 transmission, significantly reducing computational complexity while maintaining effective training.

Contribution

It presents a spectrum-sliced reservoir computer method for multi-symbol equalization in PAM4, achieving lower complexity with simple training.

Findings

Order of magnitude reduction in multiplications per symbol

Maintains effective equalization performance

Simplifies training process

Abstract

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.