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

共 50 条

[1] Routing in optical transport networks with deep reinforcement learning
Suarez-Varela, Jose
Mestres, Albert
Yu, Junlin
Kuang, Li
Feng, Haoyu
Cabellos-Aparicio, Albert
Barlet-Ros, Pere
[J]. JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING, 2019, 11 (11) : 547 - 558
[2] Multi-Objective Routing and Resource Allocation Based on Reinforcement Learning in Optical Transport Networks
Li, Xin
Zhao, Yongli
Li, Yajie
Rahman, Sabidur
Wang, Feng
Li, Xinghua
Zhang, Jie
[J]. 2020 ASIA COMMUNICATIONS AND PHOTONICS CONFERENCE (ACP) AND INTERNATIONAL CONFERENCE ON INFORMATION PHOTONICS AND OPTICAL COMMUNICATIONS (IPOC), 2020,
[3] Reinforcement learning based routing in all-optical networks
Pointurier, Yvan
Heidari, Fariba
[J]. 2007 FOURTH INTERNATIONAL CONFERENCE ON BROADBAND COMMUNICATIONS, NETWORKS & SYSTEMS, VOLS 1 AND 2, 2007, : 919 - 921
[4] A Routing Optimization Method for Software-Defined Optical Transport Networks Based on Ensembles and Reinforcement Learning
Chen, Junyan
Xiao, Wei
Li, Xinmei
Zheng, Yang
Huang, Xuefeng
Huang, Danli
Wang, Min
[J]. SENSORS, 2022, 22 (21)
[5] Using Deep Reinforcement Learning for Routing in IP Networks
Singh, Abhiram
Sharma, Sidharth
Gumaste, Ashwin
[J]. 30TH INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS AND NETWORKS (ICCCN 2021), 2021,
[6] Relational Deep Reinforcement Learning for Routing in Wireless Networks
Manfredi, Victoria
Wolfe, Alicia P.
Wang, Bing
Zhang, Xiaolan
[J]. 2021 IEEE 22ND INTERNATIONAL SYMPOSIUM ON A WORLD OF WIRELESS, MOBILE AND MULTIMEDIA NETWORKS (WOWMOM 2021), 2021, : 159 - 168
[7] Deep Reinforcement Learning-Based Routing for Space-Terrestrial Networks
Tsai, Kai-Chu
Yao, Ting-Jui
Huang, Pin-Hao
Huang, Cheng-Sen
Han, Zhu
Wang, Li-Chun
[J]. 2022 IEEE 96TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2022-FALL), 2022,
[8] Deep Reinforcement Learning-Based Multipath Routing for LEO Megaconstellation Networks
Han, Chi
Xiong, Wei
Yu, Ronghuan
[J]. ELECTRONICS, 2024, 13 (15)
[9] Deep Reinforcement Learning-Based Routing on Software-Defined Networks
Kim, Gyungmin
Kim, Yohan
Lim, Hyuk
[J]. IEEE ACCESS, 2022, 10 : 18121 - 18133
[10] A wavelength routing algorithm for optical satellite network based on deep reinforcement learning
Li X.
Li Y.
Zhao S.
[J]. Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2023, 45 (01): : 264 - 270

← 1 2 3 4 5 →