Optimizing resource allocation in UAV-assisted ultra-dense networks for enhanced performance and security

Computer Science

• Communication Resource 25%
• Convergence Rate 25%
• Deep Reinforcement Learning 75%
• Energy Efficiency 50%
• Energy Function 25%
• Learning Framework 25%
• Learning Trajectory 25%
• Network Operation 25%
• Network Performance 25%
• Network Security 25%
• Optimization Algorithm 25%
• Power Allocation 25%
• Power Consumption 25%
• Reinforcement Learning 75%
• Resource Allocation 100%
• Resource Allocation Policy 25%
• Security Concern 25%
• Traffic Demand 25%
• Training Model 25%
• Transmission Link 25%
• Unmanned Aerial Vehicle 100%

Engineering

• Basestation 20%
• Convergence Rate 20%
• Data Traffic 20%
• Electric Power Utilization 20%
• Energy Conservation 40%
• Energy Efficiency 40%
• Energy Engineering 20%
• Energy Function 20%
• Metrics 20%
• Potential Energy 20%
• Power Allocation 20%
• Reinforcement Learning 100%
• Resource Allocation Policy 20%
• Transmissions 20%
• Unmanned Aerial Vehicle 100%