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 […]
Learning to Entangle Radio Resources in Vehicular Communications
In this paper, we investigate non-cooperative radio resource management in a vehicle-to-vehicle communication network. The technical challenges lie in high-vehicle mobility and […]