Open RAN-based Network Slicing for Connecting Flying and Ground-based Cars Serving Urban Areas

Keyphrases

• Urban Areas 100%
• Network Slicing 100%
• Open Radio Access Network (O-RAN) 100%
• 5G Networks 66%
• Closed-loop 66%
• Flying Car 66%
• Continual Learning 66%
• Underprovision 66%
• Three-level 33%
• Resource Allocation 33%
• Autonomous Driving 33%
• Reward Function 33%
• Service Requirements 33%
• Federated Deep Reinforcement Learning 33%
• Path Planning 33%
• Vertiport 33%
• Road Congestion 33%
• Seamless Integration 33%
• Network Latency 33%
• Budget Constraint 33%
• Remote Diagnosis 33%
• Level Closed 33%
• Transit Function 33%
• Delay Budget 33%
• Comprehensive Research 33%
• Promising Solution 33%
• Resource Block 33%
• Latency Constraints 33%
• Delay Requirement 33%
• High Mobility 33%
• Function Learning 33%
• Air Mobility 33%
• Reward Learning 33%
• Urban Amenities 33%

Computer Science

• Network Slicing 100%
• 5G Mobile Communication 66%
• Continual Learning 66%
• Deep Reinforcement Learning 33%
• Resource Allocation 33%
• Service Requirement 33%
• path-planning 33%
• Network Latency 33%
• Critical Aspect 33%
• Autonomous Driving 33%
• Budget Constraint 33%