Mixed Materials
Distributed and autonomous flow routing based on deep reinforcement learning
| Title: | Distributed and autonomous flow routing based on deep reinforcement learning |
|---|---|
| Authors: | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors, Universitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques, Barzegar, Sima, Ruiz Ramírez, Marc, Velasco Esteban, Luis Domingo |
| Publisher Information: | Institute of Electrical and Electronics Engineers (IEEE) 2022 |
| Document Type: | Mixed materials |
| Abstract: | A DRL approach with a specific reward function is proposed for autonomous flow routing operating on multilayer scenarios. Illustrative results reveal that the DRL achieves optimal flow routing in terms of cost and service quality. © 2022 IEICE. The research leading to these results has received funding from the H2020 B5G-OPEN (G.A. 101016663), the MINECO-NextGenerationEU TIMING (TSI-063000-2021-145), the MICINN IBON (PID2020-114135RB-I00), and the ICREA Institution. Peer Reviewed Postprint (published version) |
| Index Terms: | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació, Deep learning, Autonomous systems, Deep Reinforcement Learning, Distributed Control Deep learning, Distributed parameter control systems, Autonomous system, Deep reinforcement learning, Distributed-control, Flow routing, Optimal flows, Reinforcement learnings, Reward function, Service Quality, Reinforcement learning, Aprenentatge profund, Conference report |
| URL: | info:eu-repo/grantAgreement/EC/H2020/101016663/EU/Beyond 5G – OPtical nEtwork coNtinuum/B5G-OPEN info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-114135RB-I00/ES/AI-POWERED INTENT-BASED PACKET AND OPTICAL TRANSPORT NETWORKS AND EDGE AND CLOUD COMPUTING FOR BEYOND 5G |
| Availability: | Open access content. Open access content Open Access |
| Note: | application/pdf English |
| Other Numbers: | HGF oai:upcommons.upc.edu:2117/387281 Barzegar, S.; Ruiz, M.; Velasco, L. Distributed and autonomous flow routing based on deep reinforcement learning. A: OptoElectronics and Communications Conference / International Conference on Photonics in Switching and Computing. "OECC/PSC 2022: 27th OptoElectronics and Communications Conference/International Conference on Photonics in Switching and Computing 2022: July 3-6, 2022, Toyama International Conference Center, Toyama, Japan". Institute of Electrical and Electronics Engineers (IEEE), 2022, ISBN 9784885523366. DOI 10.23919/OECC/PSC53152.2022.9850200. 9784885523366 10.23919/OECC/PSC53152.2022.9850200 1379092446 |
| Contributing Source: | UNIV POLITECNICA DE CATALUNYA From OAIster®, provided by the OCLC Cooperative. |
| Accession Number: | edsoai.on1379092446 |
| Database: | OAIster |
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