Reinforcement-Learning-based Multi-Failure Restoration in Optical Transport Networks

被引：0
|
作者：
Zhao, Zipiao [1 ]
Zhao, Yongli [1 ]
Wang, Dajiang [2 ]
Wang, Ying [3 ]
Zhang, Jie [1 ]
机构：
[1] Beijing Univ Posts & Telecom, State Key Lab Info Photon & Opt Comm, Beijing 100876, Peoples R China
[2] ZTE Technol Pk, Shijiazhuang 065201, Hebei, Peoples R China
[3] State Grid Informat & Telecommun Branch, Beijing 100761, Peoples R China
来源：
2019 ASIA COMMUNICATIONS AND PHOTONICS CONFERENCE (ACP) | 2019年
基金：
中国国家自然科学基金;
关键词：
D O I：
暂无
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
A reinforcement-learning-based multi-failure restoration algorithm is proposed based on multi-modal representation in optical transport networks. Numerical results show the proposed algorithm has higher success ratio of service restoration than the benchmark algorithm.
引用
收藏
页数：3
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