Castro, Nelson, Boscolo, Sonia, Ellis, Andrew D. and Sygletos, Stylianos (2024). Design of time-domain learned Volterra equalisers for WDM systems. IN: Proceedings of the 2024 International Conference on Optical Network Design and Modeling (ONDM). Larrabeiti-Lopez, David; Valcarenghi, Luca; Mas-Machuca, Carmen and Hernandez-Gutierrez, Jose A. (eds) ESP: IEEE.
Abstract
We examine various design aspects of a learned time-domain multiple-input multiple-output (MIMO) Volterra-based equaliser and reveal their impact on the convergence and performance of the model. We show that appropriate parameter initialisation is vital for the model's convergence and scalability to a higher number of channels. This design optimisation enables the first demonstration of a 7 × 7 operation of the MIMO algorithm at one step per span, achieving 1.5 dB effective signal-to-noise ratio improvement over single-channel nonlinear equalisation, hence significantly enhancing the transmission performance in a wavelength-division multiplexing scenario.
Publication DOI: | https://doi.org/10.23919/ONDM61578.2024.10582691 |
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Divisions: | College of Engineering & Physical Sciences > Aston Institute of Photonics Technology (AIPT) |
Funding Information: | This work was partly supported by the UK EPSRC grants TRANSNET (EP/R035342/1), CREATE (EP/X019241/1), and EEMC (EP/S016171/1). |
Additional Information: | Copyright © 2024 IFIP. This is an accepted manuscript of a paper presented at the 28th International Conference on Optical Network Design and Modelling. |
Event Title: | 28th International Conference on Optical Network Design and Modelling |
Event Type: | Other |
Event Location: | University Carlos III de Madrid |
Event Dates: | 2024-05-06 - 2024-05-09 |
Uncontrolled Keywords: | Volterra series,machine learning,nonlinearity equalisation,optical fibre systems,Safety, Risk, Reliability and Quality,Atomic and Molecular Physics, and Optics,Hardware and Architecture,Computer Networks and Communications |
ISBN: | 9783903176546 |
Last Modified: | 13 Aug 2024 16:01 |
Date Deposited: | 06 Aug 2024 11:36 |
Full Text Link: | |
Related URLs: |
https://ieeexpl ... cument/10582691
(Publisher URL) http://www.scop ... tnerID=8YFLogxK (Scopus URL) |
PURE Output Type: | Conference contribution |
Published Date: | 2024-07-11 |
Published Online Date: | 2024-05-06 |
Authors: |
Castro, Nelson
Boscolo, Sonia ( ![]() Ellis, Andrew D. ( ![]() Sygletos, Stylianos ( ![]() |