Opti-DeepRoute: A Topology-Adaptive Deep Reinforcement Learning Based Service Provisioning Framework for Elastic Optical Network-Reference-Cited by-同舟云学术

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Opti-DeepRoute: A Topology-Adaptive Deep Reinforcement Learning Based Service Provisioning Framework for Elastic Optical Network

Published:2024-05-20 Issue: Volume: Page:1-2
ISSN:
Container-title:IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
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Author:

Zhou Zexi¹,Gu Rentao¹,Zhang Xiaoya¹,Yunxuan L.¹,Bai Lin²,Yuefeng J.¹

Affiliation:

1. Beijing University of Posts and Telecommunications (BUPT),State Key Lab of Information Photonics and Optical Communications,Beijing,China

2. School of Economics and Management, Beijing University of Posts and Telecommunications (BUPT),Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10620660/10620661/10620793.pdf?arnumber=10620793

Reference5 articles.

1. Multi-Robot Path Planning for Mobile Sensing through Deep Reinforcement Learning

2. Hawkeye: A Dynamic and Stateless Multicast Mechanism with Deep Reinforcement Learning

3. DeepRMSA: A Deep Reinforcement Learning Framework for Routing, Modulation and Spectrum Assignment in Elastic Optical Networks

4. Nonlinear Impairment-Aware RMSA Under the Sliding Scheduled Traffic Model for EONs Based on Deep Reinforcement Learning

5. Finding key players in complex networks through deep reinforcement learning

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