End-to-end Learning for Optical Fiber Communication with Data-driven Channel Model

被引：0
|
作者：
Li, Mingliang [1 ]
Wang, Danshi [1 ]
Cui, Qichuan [1 ]
Zhang, Zhiguo [1 ]
Deng, Linhai [2 ]
Zhang, Min [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, State Key Lab Informat Photon & Opt Commun, Beijing 100876, Peoples R China
[2] State Grid Chenzhou Power Supply Co, Chenzho 423000, Peoples R China
来源：
2020 OPTO-ELECTRONICS AND COMMUNICATIONS CONFERENCE (OECC 2020) | 2020年
关键词：
End-to-end learning; BiLSTM; optical fiber communication;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
An end-to-end autoencoder is proposed for optical fiber communication system, which is based on the data-driven channel modeled by BiLSTM technique. The data-driven channel not only solve the problem about back-propagation but reflect the complex channel characteristic. The proposed can effectively reduce the dependence on expert knowledge and obtains the lower BER than conventional method.
引用
收藏
页数：3
相关论文
共 50 条
  • [1] End-to-End Learning of Constellation Shaping for Optical Fiber Communication Systems
    Jiang, Wenshan
    Zhao, Xue
    Huang, Fangfang
    Huang, Xiatao
    Jin, Taowei
    Lin, Hong
    Zhang, Jing
    Qiu, Kun
    IEEE PHOTONICS JOURNAL, 2023, 15 (06):
  • [2] Optical Fiber Communication Systems Based on End-to-End Deep Learning
    Karanov, Boris
    Chagnon, Mathieu
    Aref, Vahid
    Lavery, Domanic
    Bayvel, Polina
    Schmalen, Laurent
    2020 IEEE PHOTONICS CONFERENCE (IPC), 2020,
  • [3] End-to-End Learning for Chromatic Dispersion Compensation in Optical Fiber Communication
    Li, Mingyu
    Wang, Shaowei
    IEEE COMMUNICATIONS LETTERS, 2022, 26 (08) : 1829 - 1832
  • [4] Model-Driven End-to-End Learning for Integrated Sensing and Communication
    Mateos-Ramos, Jose Miguel
    Hager, Christian
    Keskin, Musa Furkan
    Le Magoarou, Luc
    Wymeersch, Henk
    ICC 2023-IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, 2023, : 5695 - 5700
  • [5] An end-to-end deep learning model for solving data-driven newsvendor problem with accessibility to textual review data
    Tian, Yu-Xin
    Zhang, Chuan
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2023, 265
  • [6] Data-Driven Channel Modeling for End-to-End Visible Light DCO-OFDM Communication System Based on Experimental Data
    Song, Bo
    Zhu, Yanwen
    Huang, Yi
    Zong, Haiteng
    PHOTONICS, 2024, 11 (08)
  • [7] Model-Aware End-to-End Learning for SISO Optical Wireless Communication Over Poisson Channel
    Si-Ma, Ling-Han
    Zhu, Zhao-Rui
    Yu, Hong-Yi
    IEEE PHOTONICS JOURNAL, 2020, 12 (06):
  • [8] Model-Driven Deep-Learning for End-to-End Optimization in Fiber-Terahertz Communication Systems
    Li, Zhongya
    Wang, Chengxi
    Jia, Junlian
    Huang, Ouhan
    Dong, Boyu
    Li, Guoqiang
    Xing, Sizhe
    Zhou, Yingjun
    Shi, Jianyang
    Li, Ziwei
    Shen, Chao
    Zou, Peng
    Zhao, Yiheng
    Hu, Fangchen
    Chi, Nan
    Zhang, Junwen
    JOURNAL OF LIGHTWAVE TECHNOLOGY, 2025, 43 (07) : 3099 - 3117
  • [9] End-to-End Deep Learning of Optical Fiber Communications
    Karanov, Boris
    Chagnon, Mathieu
    Thouin, Felix
    Eriksson, Tobias A.
    Buelow, Henning
    Lavery, Domanic
    Bayvel, Polina
    Schmalen, Laurent
    JOURNAL OF LIGHTWAVE TECHNOLOGY, 2018, 36 (20) : 4843 - 4855
  • [10] An end-to-end data-driven optimization framework for constrained trajectories
    Dewez, Florent
    Guedj, Benjamin
    Talpaert, Arthur
    Vandewalle, Vincent
    Data-Centric Engineering, 2022, 3 (04):
12345