Gaussian Process Based Channel Prediction for Communication-Relay UAV in Urban Environments

Keyphrases

• Air-to-ground Communication 50%
• Challenging Tasks 25%
• Channel Measurement 25%
• Channel Prediction 100%
• Channel Quality 25%
• Channel Strength 50%
• Communication Channels 75%
• Communication Model 25%
• Communication Properties 25%
• Communication Relay 100%
• Complex Urban Environment 25%
• Gaussian Process 100%
• Gaussian Process Methods 25%
• Learning Approaches 25%
• Learning Methods 25%
• Measure Data 25%
• Model-based Approach 25%
• Monte Carlo Simulation 25%
• Optimal Relay 25%
• Optimization Approach 25%
• Performance Gain 25%
• Performance Robustness 25%
• Process-based 100%
• Shadow Fading 25%
• Trajectory Planning 100%
• UAV 100%
• Urban Environment 100%
• Urban Environment Modeling 25%

Engineering

• Channel Quality 25%
• Communication Channel 75%
• Gaussians 100%
• Learning Approach 25%
• Measurement Data 25%
• Nodes 25%
• Path Planning 100%
• Shadow Fading 25%
• Unmanned Aerial Vehicle 100%

Computer Science

• Channel Quality 25%
• Communication Model 25%
• Environment Modeling 25%
• Learning Approach 25%
• Measurement Data 25%
• Monte Carlo Simulation 25%
• Performance Gain 25%
• Trajectory Planning 100%
• Unmanned Aerial Vehicle 100%
• Urban Environment 100%