Network Orchestrator
Network orchestrators are intelligent systems managing the allocation and scheduling of resources across complex networks, aiming to optimize performance and efficiency for diverse applications. Current research emphasizes the use of machine learning, particularly reinforcement learning and federated learning, often integrated with digital twin models for real-time adaptation and prediction in dynamic environments. These advancements are crucial for enabling efficient resource utilization in areas like 5G IoT, edge computing for video analytics, and the deployment of sophisticated AI systems, ultimately improving performance and user experience across various sectors.
Papers
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