一种基于服务质量的多UAV容量优化方法

随着近些年来通信领域各种技术的高速发展,UAV因为其体积小、灵活性强、可快速部署等优点,越来越受到通信领域相关学者的青睐。同时,由于UAV在各个领域的应用逐渐增多,UAV网络的容量优化问题变得越来越重要。针对未来大规模用户的通信需求,提出了一种基于服务质量的多UAV容量优化方法。首先将服务质量设置为权重参数,联合用户调度、轨迹和功率分配,利用连续凸优化技术和块坐标下降算法,提出多UAV通信系统中的的容量优化算法。仿真结果证明该算法的收敛性,同时表明在相同条件下基于用户质量的多UAV容量算法能够使系统达到更高的平均传输速率。

A Method for Capacity Optimization of Multi-UAV Based on Service of Quality

With the rapid development of various communication technologies in recent years,UAV is more and more popular among scholars in the communication field because of its small size,flexibility,and rapid deployment.At the same time,as the use of drones in military and civilian applications is increasing,the capacity optimization problem of drone networks is becoming more and more important.Aiming at the communication needs of large-scale users in the future,a multi-UAV capacity optimization research method based on quality of service is proposed.Firstly,the service quality is set as the weight parameter,and the continuous convex optimization technique and the block coordinate reduction algorithm are used to propose the capacity optimization problem in the multi-UAV communication system.Simulation results prove the convergence of the algorithm,and show that the multi-UAV capacity algorithm based on user quality under the same conditions can make the system achieve higher average transmission rate.