Deployment Optimization Based on Hybrid Intelligent Algorithms for UAV Communications

Using unmanned aerial vehicles (UAV) as the aerial wireless base station is effective to provide wireless service to ground users (GU) compared to conventional communications. In this paper, an efficient algorithm is proposed for deployment optimization that improves the throughput for UAV communication. First, UAV communication system model is presented that includes a certain number of uniformly distributed GUs and some UAVs and the problem of deployment of UAV to get the larger throughput is described. Second, the details of the proposed optimal beetle antennae search (BAS) algorithm are presented. Third, to overcome the problem that BAS algorithm trapped in the local optimal solution easily, a hybrid intelligent algorithm combining beetle antennae search algorithm and genetic algorithm is proposed. Finally, simulation results are presented that show the performance of proposed hybrid algorithm outperforms than that of the BAS algorithm and random algorithm. This result can provide an effective optimization for deployment for UAV communications.