Liquid state machine learning for resource and cache management in LTE-U unmanned aerial vehicle (UAV) networks

Computer Science

• State Machine 100%
• Machine Learning 100%
• Learning System 100%
• Unmanned Aerial Vehicle 100%
• Resource Allocation 50%
• Spectrum Allocation 16%
• Optimization Problem 16%
• Learning Framework 16%
• Considered Model 16%
• Allocation Strategy 16%
• Conventional Learning 16%
• Learning Algorithm 16%
• Distributed Algorithm 16%

Engineering

• Unmanned Aerial Vehicle 100%
• State Machine 100%
• Learning System 100%
• Q-Learning 50%
• Content Request 33%
• Simulation Result 16%
• Joints (Structural Components) 16%
• Optimisation Problem 16%
• Convergence Time 16%
• Network State 16%
• Learning Algorithm 16%