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.
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页数：3
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