无人机OFDM-SWIPT轨迹通信联合优化设计  

Joint Optimization Design of UAV OFDM-SWIPT Trajectory Communication

作　　者：王丽平[1] 雷蕾 宋宪华[1] WANG Li-ping;LEI Lei;SONG Xian-hua(Zhengzhou Railway Vocational&Technical College,He'nan Zhengzhou 450002,China;Xi'an Aeronatical University,Shanxi Xi'an 710077,China)

机构地区：[1]郑州铁路职业技术学院,河南郑州450002 [2]西安航空学院,陕西西安710077

出　　处：《机械设计与制造》2023年第8期43-50,共8页Machinery Design & Manufacture

基　　金：河南省高新技术领域科技攻关项目(162102210371)。

摘　　要：为了充分利用无人机在三维空间的灵活性,提出了一种以无人机为空中基站的OFDM-SWIPT轨迹通信联合优化设计方案。通过联合优化无人机飞行轨迹和资源分配,以用户平均捕获能量为约束条件,使所有用户的平均可实现率最大化。进一步分别对资源分配和无人机轨迹进行优化。前者是一个混合整数非凸优化问题,提出了一种三变量交替迭代算法,以获得最优的用户调度、子载波和功率分配。后者是一个非凸优化问题,可以将其转化为凸优化最优轨迹问题。仿真结果表明,该算法具有良好的收敛性和鲁棒性,同时,该方案既能保证平均捕获能量,又能提供与其他飞行模式相比的最佳平均可实现速率。In order to make full use of the flexibility of UAV in three-dimensional space,a joint optimization design scheme of ofdm-swipt trajectory communication based on UAV was put forward.Through joint optimization of UAV flight trajectory and resource allocation,the average achievable rate of all users was maximized with the average capture energy of users as the constraint condition.Furthermore,resource allocation and UAV trajectory were optimized respectively.The former was a mixed integer nonconvex optimization problem,and a three variable alternating iterative algorithm was proposed to obtain the optimal user scheduling,subsplot and power allocation.The latter was a nonconvex optimization problem,which was transformed into a convex optimal trajectory problem.Simulation results show that the algorithm has good convergence and robustness.At the same time,the scheme can not only ensure the average capture energy,but also provide the best average achievable rate compared with otherflight modes.

关 键 词：无人机 轨迹通信 交替迭代算法 联合优化 

分 类 号：TH16[机械工程—机械制造及自动化] TH133.3[自动化与计算机技术—控制理论与控制工程] TP18[自动化与计算机技术—控制科学与工程]