Research on the Position Optimization Strategy of UAV Communication Networks Based on the Quartile-Guided Genetic Algorithm

With the development of drone technology, its wide applications in fields such as communication, monitoring, and rescue have made the air-ground integrated network a research hotspot. Firstly, aiming at the optimization problem of maximizing the system throughput in the air-ground integrated network, this paper proposes a method based on the Quartile-Oriented Genetic Algorithm (Q-AGA) to optimize the location deployment in the drone-relay air-ground integrated network. Q-AGA combines the idea of quartile analysis, effectively improving the convergence speed and global optimization ability of the genetic algorithm. It demonstrates good performance in experiments, especially in terms of network coverage and signal strength, thus providing a new solution for the location deployment of the drone-relay network.