Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > OECC > 2021 > JS3C > JS3C.1

A Waveband Routing Method in Optical Networks Based on the Deep Reinforcement Learning

Yang Liu, Bin Chen, Gongchao Su, Mingjun Dai, and Xiaohui Lin

Not Accessible

Your library or personal account may give you access

Abstract

A deep reinforcement learning algorithm is proposed for the RSBA problem in elastic waveband switching optical networks. Simulation results show that the deep reinforcement learning algorithm can effectively use optical switch ports.

© 2021 The Author(s)

PDF Article
More Like This
Routing Based On Deep Reinforcement Learning In Optical Transport Networks

José Suárez-Varela, Albert Mestres, Junlin Yu, Li Kuang, Haoyu Feng, Pere Barlet-Ros, and Albert Cabellos-Aparicio
M2A.6 Optical Fiber Communication Conference (OFC) 2019

Deep Reinforcement Learning Based DNN Model Partition in Edge Computing-enabled Metro Optical Network

Suhao Zheng, Xiao Xiao, Yajie Li, Zebin Zeng, Zhengyin Liang, Yongli Zhao, and Jie Zhang
W2C.4 Asia Communications and Photonics Conference (ACP) 2021

A Subcarrier-Slot Autonomous Partition Scheme Based on Deep-Reinforcement-Learning in Elastic Optical Networks

Xin Wang, Yue-Cai Huang, Jie Liu, and Siyuan Yu
M4A.211 Asia Communications and Photonics Conference (ACP) 2019

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use