@inproceedings{a3140d6158e14335acad1844a98fa218,
title = "Learned Volterra Equalization for WDM Systems",
abstract = "We propose a learned MIMO Volterra scheme for mitigating Kerr-based intra- and inter-channel nonlinearity in WDM systems. We demonstrate a 1.2 dB improvement of the SNR over single-channel nonlinear equalization at two steps per span.",
keywords = "Volterra series, machine learning, nonlinearity equalization, optical fiber systems",
author = "Nelson Castro and Stylianos Sygletos",
year = "2024",
month = jan,
day = "1",
doi = "10.1109/acp/poem59049.2023.10369039",
language = "English",
isbn = "979-8-3503-1262-1",
series = "2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings (ACP/POEM)",
publisher = "IEEE",
booktitle = "2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings (ACP/POEM)",
address = "United States",
note = "2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings (ACP/POEM) ; Conference date: 04-11-2023 Through 07-11-2023",
}