Resource optimization of multi UAV assisted communication system based on user scheduling
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摘要:
为提高多用户移动通信下行无线传输系统的传输速率，提出一种基于用户调度和轨迹优化的多无人机(UAV)辅助通信系统资源优化算法。所提算法在满足用户调度、无人机总能耗和用户服务质量要求等约束条件下，以多用户总吞吐量最大化为准则建立优化问题。为解决该非凸问题，通过块坐标下降(BCD)法将原非凸问题分解成3个易于处理的非凸子问题，并通过引入松弛变量、一阶泰勒表达式、连续凸近似(SCA)等方法对子问题转换求解后交替迭代优化，得出原非凸问题的近似次优解。仿真结果表明：所提算法能有效地提高系统总吞吐量，并且在单、多无人机通信系统下均具有良好的收敛性。
Abstract:In order to improve the transmission rate of multi-user mobile communication downlink wireless transmission systems, a resource optimization method for multi-unmanned aerial vehicle (UAV) auxiliary communication systems based on user scheduling and trajectory optimization is proposed. The proposed method formulates an optimization problem based on maximizing the total throughput of multiple users while satisfying constraints such as user scheduling, total energy consumption of drones, and user service quality requirements. In order to solve the nonconvex problem, the original nonconvex problem is decomposed into three easy to deal with nonconvex subproblems by the block coordinate descent (BCD), and the approximate suboptimal solution of the original nonconvex problem is obtained by introducing relaxation variables, first-order Taylor expression, successive convex approximation (SCA) and other methods to transform the subproblems and solve them alternately. Simulation results show that the proposed method can effectively improve overall system throughput and has good convergence in single and multiple UAV communication systems.
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Key words:
- UAV communication /
- resource allocation /
- user scheduling /
- beamforming /
- flight speed
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图 4 单、双无人机通信系统迭代次数与总吞吐量的关系
Figure 4. Relationship between iteration times and total throughput of single and dual UAV communication systems
图 5 单、多无人机通信系统在不同飞行周期下的能耗关系
Figure 5. Energy consumption relationship of single and dual unmanned aerial vehicle communication systems under different flight cycles
图 6 多无人机通信系统在不同飞行周期下的总吞吐量
Figure 6. Total throughput of multiple unmanned aerial vehicle communication systems under different flight cycles
图 7 多无人机通信系统用户数量与系统吞吐量的关系
Figure 7. Relationship between the number of users and system throughput in multi-UAV communication systems
表 1 仿真参数
Table 1. Simulation parameters
c1 c2 转子的叶尖速度Utip/(m·s−1) 机身阻力比d0 平均转子速度vm/(m·s−1) 空气密度ρ/(kg·m−3) 转子密度/103(kg·m−3) 转子盘面积A/m2 60 81.5 120 0.6 4.03 1.225 1.5 0.603 
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