Abstract
Solving the problem of connectivity in remote areas is vital for providing important services (e.g., telemedicine, virtual education, etc.) to communities of these regions. However, managing these communication networks is complex and requires permanent human intervention in such inaccessible and highly variable environments. We propose a network self-management architecture based on SDN and DRL that self-adapts to operational conditions to meet the QoS demands of network services. We use a case study of QoS-aware routing optimization in a rural scenario to test our architecture.
Original language | English |
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Title of host publication | 2022 IEEE 11th IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks, PEMWN 2022 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9783903176508 |
DOIs | |
State | Published - 2022 |
Event | 11th IEEE IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks, PEMWN 2022 - Rome, Italy Duration: 8 Nov 2022 → 10 Nov 2022 |
Publication series
Name | 2022 IEEE 11th IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks, PEMWN 2022 |
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Conference
Conference | 11th IEEE IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks, PEMWN 2022 |
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Country/Territory | Italy |
City | Rome |
Period | 8/11/22 → 10/11/22 |
Bibliographical note
Publisher Copyright:© 2022 IFIP.
Keywords
- Deep Reinforcement Learning
- QoS
- Routing Optimization
- SDN
- self-management