Modeling of Multi-Core Fiber Channel Based on M-CGAN for High Capacity Fiber Optical Communication

Ming Ma, Huan Chang, Ran Gao, Dong Guo, Xinyu Liu, Mengzhu Yuan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publication2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350312614
DOIs
Publication statusPublished - 2023
Event2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023 - Wuhan, China
Duration: 4 Nov 20237 Nov 2023

Publication series

Name2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023

Conference

Conference2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023
Country/TerritoryChina
CityWuhan
Period4/11/237/11/23

Keywords

  • conditional generative adversarial networks (CGAN)
  • fiber channel modeling
  • multi-core fiber (MCF)

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