Adaptive Traffic Data Augmentation Using Generative Adversarial Networks for Optical Networks

被引：0

作者：

Li, Shuai ^{[1
]}

Li, Jin ^{[1
]}

Zhang, Min ^{[1
]}

Wang, Danshi ^{[1
]}

Song, Chuang ^{[1
]}

Zhen, Xinghua ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, State Key Lab Informat Photon & Opt Commun, Beijing, Peoples R China

来源：

2019 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION (OFC) | 2019年

关键词：

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：

We propose an adaptive traffic data augmentation technique based on generative adversarial networks trained with partial experimental data for optical networks and verify that the augmented traffic is similar to experimental traffic under diverse scenarios.

引用

页数：3

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