Semi-Supervised Feature-Crosses Neural Network Equalizer in Fiber Optics

Rui Yang, Qi Zhang*, Xiangjun Xin, Fu Wang, Jinkun Jiang, Feng Tian, Qinghua Tian, Yongjun Wang, Leijing Yang

*Corresponding author for this work

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

Abstract

In this paper, a semi-supervised feature-crosses nonlinear equalization(FC-NLE) scheme with adaptive threshold regulation and consistency regularization is proposed to compensate for the linear and nonlinear impairment in the high-speed optical communication systems. The feasibility of the proposed method is verified in a 120 Gb/s quadratic pulse amplitude modulation (PAM4) transmission based on intensity modulation and direct detection (IM/DD). After a 5 km transmission, the semi-supervised FC-NLE scheme enables the bit error rate(BER) to reach the hard-decision forward-error-correction(HD-FEC) threshold of 7% when the received optical power is more than 4.7 dBm with only 4% proportion of labeled data required, which has more than 1.3 dB and 1dB better than that of FC-NLE and the traditional transductive learning semi-supervised neural network scheme.

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 network
  • nonlinear
  • optical fiber transmission
  • semi-supervised

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