@inproceedings{08d0b546fa5a4954be5711fd6fdbb9dc,
title = "A Causal Perturbation-Aided Temporal Neural Network Scheme for Nonlinear Signal Equalization in Coherent Optical Fiber Communication Systems",
abstract = "A causal perturbation-aided temporal neural network scheme is proposed to reduce input feature dimensionality and computational complexity while maintaining equalization performance, and is experimentally validated on a 5 × 216 Gb/s DP-64QAM Nyquist-WDM system.",
keywords = "Perturbation, WDM, coherent optical fiber communication systems, nonlinear equalization",
author = "Xinyu Yuan and Qi Zhang and Xiangjun Xin and Ran Gao and Xiaofang Hu and Gang Fan and Qihan Zhao and Yi Zhao and Zhiqi Huang and Fu Wang and Feng Tian and Yongjun Wang and Qinghua Tian",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 23rd International Conference on Optical Communications and Networks, ICOCN 2025 ; Conference date: 28-07-2025 Through 31-07-2025",
year = "2025",
doi = "10.1109/ICOCN67308.2025.11145434",
language = "English",
series = "2025 23rd International Conference on Optical Communications and Networks, ICOCN 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2025 23rd International Conference on Optical Communications and Networks, ICOCN 2025",
address = "United States",
}