Field-Enhanced Filtering in MIMO Learned Volterra Nonlinear Equalisation of Multi-Wavelength Systems
arXiv:2407.07705v1
Originality Incremental advance
AI Analysis
This work addresses complexity reduction in optical communication systems, but it appears incremental as it builds on existing Volterra methods with enhancements.
The paper tackled the problem of nonlinear equalization in multi-wavelength MIMO systems by proposing a novel Volterra-based scheme with adaptive filtering, resulting in a 46% complexity reduction for 9x9-MIMO operation.
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.