@inproceedings{403309d385254ce7940dcdd9312c46b1,
title = "Modeling of Multi-Core Fiber Channel Based on M-CGAN for High Capacity Fiber Optical Communication",
abstract = "This paper proposes a modified conditional generative adversarial network (M-CGAN) aided channel modeling technique for multi-core fiber (MCF) communication systems. The results show that the proposed M-CGAN can achieve better modeling performance for MCF communication.",
keywords = "conditional generative adversarial networks (CGAN), fiber channel modeling, multi-core fiber (MCF)",
author = "Ming Ma and Huan Chang and Ran Gao and Dong Guo and Xinyu Liu and Mengzhu Yuan",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023 ; Conference date: 04-11-2023 Through 07-11-2023",
year = "2023",
doi = "10.1109/ACP/POEM59049.2023.10369250",
language = "English",
series = "2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023",
address = "United States",
}