Routing Based On Deep Reinforcement Learning In Optical Transport Networks

被引：0

作者：

Suarez-Varela, Jose ^{[1
]}

Mestres, Albert ^{[1
]}

Yu, Junlin ^{[2
]}

Kuang, Li ^{[2
]}

Feng, Haoyu ^{[3
]}

Barlet-Ros, Pere ^{[1
]}

Cabellos-Aparicio, Albert ^{[1
]}

机构：

[1] UPC, Barcelona, Spain

[2] Huawei Technol Co LTD, Network Res Dept, Shenzhen, Peoples R China

[3] Huawei Technol Co LTD, Ottawa Opt Syst Competency Ctr, Ottawa, ON, Canada

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：

This paper addresses the use of Deep Reinforcement Learning for automatic routing in Optical Transport Networks at the electrical-layer level. We propose a DRL-based solution that achieves both high performance and fast learning.

引用

页数：3

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