Age of Information-Aware Radio Resource Management in Vehicular Networks
In this paper, we investigate the problem of age of information (AoI)-aware radio resource management for expected long-term performance optimization in a […]
Multi-Tenant Cross-Slice Resource Orchestration: A Deep Reinforcement Learning Approach
With the cellular networks becoming increasingly agile, a major challenge lies in how to support diverse services for mobile users (MUs) over […]
Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning
To improve the quality of computation experience for mobile devices, mobile-edge computing (MEC) is a promising paradigm by providing computing capabilities in […]