Neural Hierarchical Network Based Channel Emulator for IM/DD OAM Mode Division Multiplexing Optical Fiber Communication System

Fulin Yang, Ran Gao*, Qi Xu, Fei Wang, Qi Zhang, Xiangjun Xin

*Corresponding author for this work

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

Abstract

We propose and experimentally demonstrate a novel channel emulator based on neural hierarchical network for OAM-MDM system. Compared with CGAN emulator, it improves the modeling accuracy by 34.5% and 35.3% for two OAM modes, respectively.

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

  • Neural hierarchical network
  • OAM
  • nonlinear channel emulator

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