MultiObjective optimization deployment of HAP broadband communication networks

In the Space Information Network, the stratospheric broadband communication system has unique advantages due to the usage of high altitude platform (HAP) as its base station. Focusing on the optimization of HAP broadband communication networks, this paper proposed a multiobjective optimization deployment method that can match the users demand and guarantee the basic service of target area. The communication downlink performance for HAP single and multiple coverage are discussed, and presented the aggregate broadband efficiency model which equivalent to the upper limit of capacity. Combined with the users demand, we let capacity-demand matching degree (CDMD) and network coverage as two mutual restriction optimization objectives. Then applies the non-dominated sorting genetic algorithm 2 (NSGA-2) to solve constrained multi-objective optimization problem. Simulation results show that the method is effective, and obtained the solution's Pareto front which can be used as tradeoff choice for the final deployment plan.