QoS-aware Network Self-management Architecture based on DRL and SDN for remote areas

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.

Año de publicación:

2022

Keywords:

• Deep reinforcement learning
• Routing Optimization
• SDN
• self-management
• qos

Fuente:

scopus