@inproceedings{9a4a7aefc6e2433d8ed6bc4cf1b62c1b,
title = "Semi-Supervised Feature-Crosses Neural Network Equalizer in Fiber Optics",
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.",
keywords = "neural network, nonlinear, optical fiber transmission, semi-supervised",
author = "Rui Yang and Qi Zhang and Xiangjun Xin and Fu Wang and Jinkun Jiang and Feng Tian and Qinghua Tian and Yongjun Wang and Leijing Yang",
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/POEM59049.2023.10369534",
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",
}