专题:Age of Information Optimization

This cluster of papers focuses on optimizing the freshness of information in communication networks, particularly in the context of real-time status updates, wireless networks, energy harvesting, and scheduling policies. The research explores age of information metrics, multi-hop networks, IoT monitoring systems, and queue management to minimize the age of information and improve network performance.
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Age of Information Minimization in UAV-Assisted Covert Communication: Trajectory and Beamforming Design

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Stability-Guaranteed Redundant Transmission Scheduling Over Gilbert–Elliot Channels for Remote State Estimation: A Deep Reinforcement Learning Approach

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Safeguarding ISAC Performance in Low-Altitude Wireless Networks Under Channel Access Attack

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AoI Minimization in Heterogeneous MEC Networks: A Federated Learning-Assisted Hybrid DRL and Convex Approach

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“X of Information” Continuum: A Survey on AI-Driven Multi-Dimensional Metrics for Next-Generation Networked Systems

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A UAV-Aided Digital Twin Framework for IoT Networks With High Accuracy and Synchronization

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Velocity-Adaptive Access Scheme for Semantic-Aware Vehicular Networks: Joint Fairness and AoI Optimization

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Large Language Model-Based Task Offloading and Resource Allocation for Digital Twin Edge Computing Networks

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Networked Predictive Control: A Survey

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Wireless Agentic AI with Retrieval-Augmented Multimodal Semantic Perception

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