摘要
无人机作为中继节点,具有通信距离远、可灵活移动、部署成本低廉等优势。为了提高无人机辅助中继通信性能,同时为了有效利用无人机有限的机载能量,以最大化所有目标节点最小可获得吞吐量为目标,研究了一个能量受限的无人机辅助中继通信网络,提出一种联合任务调度、无人机轨迹规划的多元优化方案。由于原始问题为非凸优化问题难以直接解决,首先将原始问题解耦为两个子问题,然后利用连续凸逼近方法、松弛变量法和块坐标下降法,将非凸优化问题转化为标准凸问题,进而得到两个子问题的次优解。在解决两个子问题的基础上,提出一种多元迭代优化算法从而得到原始问题的次优解。数值仿真结果表明,所提算法具有良好的收敛性,可以有效提高系统的通信性能。
As a relay node,the UAV(unmanned aerial vehicle)has the advantages of long communication distance,flexible mobility and low deployment cost.To improve the performance of UAV auxiliary relay communication and utilize the limited onboard energy of UAV effectively,an energy-constrained UAV-assisted relay communication network is studied and a multivariate optimization scheme for joint task scheduling and UAV trajectory planning is proposed to maximize the minimum available throughput of all nodes.Because the original problem is a non-convex optimization problem which is difficult to solve directly,the original problem is decoupled into two sub-problems first,and then the non-convex optimization problems are transformed into two standard convex problems by successive convex approximation(SCA)technique,slack variable method and block coordinate descent(BCD)method,and the sub-optimal solutions of the two sub-problems are obtained.On the basis of solving the two sub-problems,a multivariate iterative optimization algorithm is proposed to obtain the suboptimal solution of the original problem.The results of numerical simulation show that the proposed algorithm has a desirable convergence performance and can improve the communication performance of the system effectively.
作者
许江伟
解解
李旭飞
徐鹏
张鹏
XU Jiangwei;XIE Xie;LI Xufei;XU Peng;ZHANG Peng(Northwest Institute of Mechanical and Electrical Engineering,Xianyang 712099,China)
出处
《现代电子技术》
北大核心
2024年第17期35-40,共6页
Modern Electronics Technique
关键词
无人机
任务调度
轨迹规划
能量受限
中继通信
多元迭代优化算法
UAV
task scheduling
trajectory planning
energy constrainment
relay communication
multivariate iterative optimization algorithm
