Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Asia Communications and Photonics Conference/International Conference on Information Photonics and Optical Communications 2020 (ACP/IPOC)
  • OSA Technical Digest (Optica Publishing Group, 2020),
  • paper M4A.205
  • https://doi.org/10.1364/ACPC.2020.M4A.205

Multi-Objective Routing and Resource Allocation Based on Reinforcement Learning in Optical Transport Networks

Not Accessible

Your library or personal account may give you access

Abstract

We propose a multi-objective routing and resource allocation algorithm baesd on reinforcement learning in optical transport networks. Results show promising results by achieving the shortest route and by using the least number of wavelength converters.

© 2020 The Author(s)

PDF Article
More Like This
Reinforced Resource Allocation based on n-Dimensional Matrix Diagram for Multi-Modal Optical Networks

Zipiao Zhao, Yongli Zhao, Yajie Li, Sabidur Rahman, Dahai Han, and Jie Zhang
JS2A.1 Optoelectronics and Communications Conference (OECC) 2021

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

Zipiao Zhao, Yongli Zhao, Dajiang Wang, Ying Wang, and Jie Zhang
M4A.210 Asia Communications and Photonics Conference (ACP) 2019

Reinforcement Learning-based Resource Allocation in Quantum Key Distribution Networks

Yingmin Zuo, Yongli Zhao, Xiaosong Yu, Avishek Nag, and Jie Zhang
T3C.6 Asia Communications and Photonics Conference (ACP) 2020

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.