Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > OECC > 2021 > JS2A > JS2A.1

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

Not Accessible

Your library or personal account may give you access

Abstract

This paper proposes a reinforcement-learning-based resource allocation algorithm in multi-model optical networks, which is designed based on n-dimensional matrix diagram. Simulation results show that the proposed algorithm can efficiently optimize resource allocation.

© 2021 The Author(s)

PDF Article
More Like This
Multi-Objective Routing and Resource Allocation Based on Reinforcement Learning in Optical Transport Networks

Xin Li, Yongli Zhao, Yajie Li, Sabidur Rahman, Feng Wang, Xinghua Li, and Jie Zhang
M4A.205 Asia Communications and Photonics Conference (ACP) 2020

Deep-reinforced impairment-aware dynamic resource allocation in nonlinear elastic optical networks

Chenglin Shi, Min Zhu, Jiahua Gu, Tianyu Shen, and Xueqi Ren
M4A.8 Optoelectronics and Communications Conference (OECC) 2021

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

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