Deep-RMSA: A Deep-Reinforcement-Learning Routing, Modulation and Spectrum Assignment Agent for Elastic Optical Networks

被引：0

作者：

Chen, Xiaoliang ^{[1
]}

Guo, Jiannan ^{[2
]}

Zhu, Zuqing ^{[2
]}

Proietti, Roberto ^{[1
]}

Castro, Alberto ^{[1
]}

Yoo, S. J. B. ^{[1
]}

机构：

[1] Univ Calif Davis, Davis, CA 95616 USA

[2] Univ Sci & Technol China, Hefei 230027, Anhui, Peoples R China

来源：

2018 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC) | 2018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：

This paper demonstrates Deep-RMSA, a deep reinforcement learning based self-learning RMSA agent that can learn successful policies from dynamic network operations while realizing cognitive and autonomous RMSA in EONs.

引用

页数：3

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