Field-Enhanced Filtering in MIMO Learned Volterra Nonlinear Equalisation of Multi-Wavelength Systems

TL;DR

This paper introduces a novel MIMO-WDM Volterra-based nonlinear equalization scheme with adaptive filtering, significantly reducing complexity while effectively managing dispersion and non-linearity in multi-wavelength optical systems.

Contribution

It presents a new adaptive filtering approach in MIMO Volterra equalization that reduces computational complexity by 46% for 9x9 MIMO systems.

Findings

Achieved 46% complexity reduction in MIMO equalization

Effectively captures dispersion and non-linearity interplay

Enhances nonlinear equalization performance in multi-wavelength systems

Abstract

We propose a novel MIMO-WDM Volterra-based nonlinear-equalisation scheme with adaptive time-domain nonlinear stages enhanced by filtering in both the power and optical signal waveforms. This approach efficiently captures the interplay between dispersion and non-linearity in each step, leading to $46\%$ complexity reduction for $9\times 9$-MIMO operation.