As a regional wireless communication means, a wireless broadband communication system mainly provides communication services for mountainous areas with imperfect infrastructure construction. When the system provides communication services in mountainous areas, the vehicle-mounted base stations encounter obstacles to block communication, which causes the problem of non-cascade communication. In this paper, an improved genetic algorithm based on the adaptive change of crossover and mutation probability is proposed to formulate the air platform relay network planning scheme. The simulation results show that the crossover and mutation probabilities of the adaptive improved genetic algorithm change with the iteration of the algorithm, which improves the search ability of the algorithm and prevents it from falling into the local optimal solution.

The Wireless broadband communication system is the wireless communication hub and the main means of communication under the background of actual combat.In complex environments such as terrain impact and external interference strikes, the on-board base station of wireless broadband communication system may not work properly. As an air base station, UAV ensures the continuity and reliability of communication.Aiming at the problem of UAV base station location in complex environment, this paper proposes a UAV base station location method based on spiral algorithm.Firstly, this paper establishes the air-to-ground propagation model based on the characteristics of the actual geographical environment.Secondly, the coverage capability of the UAV base station is obtained by link budget and the optimal height analysis of the UAV.Finally, the location planning of the U AV base station is completed by the spiral algorithm. The simulation results show that the spiral algorithm needs fewer UAV base stations than the k-means algorithm, which can reduce the cost of the network. The method proposed in this paper can select the appropriate site for the base station of the UAV under the complex environment.