Dynamic Neural Network Enabled 50 Gb/s PAM-4 IM/DD Transmissions Based on 10G-Class Optical Devices

被引：0
|
作者：
Zhang, Qianwu [1 ]
Zhou, Hai [1 ]
Liu, Min [1 ]
Xu, Tingting [1 ]
Jiang, Yuntong [1 ]
Jian, Aoqun [2 ,3 ]
Song, Yingxiong [1 ]
Li, Yingchun [1 ]
Zhang, Junjie [1 ]
Chen, Jian [1 ]
Cao, Bingyao [1 ]
机构：
[1] Shanghai Univ, Shanghai Inst Adv Commun & Data Sci, Key Lab Specialty Fiber Opt & Opt Access Networks, Shanghai 200072, Peoples R China
[2] Taiyuan Univ Technol, MicroNano Syst Res Ctr, Taiyuan 03002, Peoples R China
[3] Shanxi Prov & Minist Educ, Key Lab Adv Transducers & Intelligent Control Sys, Taiyuan 030024, Peoples R China
来源：
2019 18TH INTERNATIONAL CONFERENCE ON OPTICAL COMMUNICATIONS AND NETWORKS (ICOCN) | 2019年
基金：
上海市科技启明星计划;
关键词：
Dynamic neural network; 50 Gb/s PAM-4; 10G-class optical devices;
D O I：
10.1109/icocn.2019.8934670
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
A dynamic neural network based equalization scheme is experimentally demonstrated for 50 Gb/s PAM-4 signal transmissions based on 10G-class optical devices. More than 2.5 dB power penalty improvement is achieved compare to the MLSE.
引用
收藏
页数：3
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