Channel Allocation Optimization of UAV Based on Intelligent Ray Tracing in Urban Outdoor Environment

The paper studies that in the dense urban outdoor environment Unmanned Aerial Vehicle(UAV) swarms establish the deterministic channel model to optimize their performance for ground communication. Facing the complex electromagnetic environment in the city, this paper uses the intelligent ray tracing (IRT) to model the wireless channel between the hovering UA V and the ground receiving terminal. Then we use game theory (local congestion game) approach to solve the global optimization problem of channel allocation for UAV swarm. Finally, simulation results show that the proposed algorithm reduces the interference level of the whole network and improves the quality of communication services. And the obtained results are more precise than those of statistical models.