Autonomous Resource Slicing for Virtualized Vehicular Networks with D2D Communications Based on Deep Reinforcement Learning

Computer Science

• Alternating Direction Method of Multipliers 50%
• Computational Complexity 50%
• Convex Optimization 50%
• Deep Reinforcement Learning 100%
• Distributed Algorithm 50%
• Optimization Problem 50%
• Physical Resource 50%
• Quality of Service 100%
• Reinforcement Learning 50%
• Resource Allocation 50%
• Resource Allocation Scheme 50%
• Resource Provisioning 50%
• Resource Utilisation 100%
• Vehicular Communication 50%
• Vehicular Network 100%
• Virtual Resource 50%