| 摘要: |
| 针对多无人机辅助移动用户通信的下行无线传输系统，提出了一种用户吞吐量最大化的多无人机发送功率和飞行航迹分簇优化方法。考虑每架无人机服务的用户分簇、发送功率分配和飞行航迹规划，构建了一个多无人机辅助多用户通信的吞吐量最大化问题。通过引入辅助变量和分离耦合变量的方法，将非凸问题分解为两个近似凸优化问题；再基于贪婪算法的思想和连续凸逼近方法，对两个近似凸优化问题进行迭代交替优化，得到原非凸问题的一个近似次优解。仿真结果表明，所提优化方法能够有效提高用户数据吞吐量。 |
| 关键词: 无人机通信 用户分簇 功率分配 航迹优化 |
| DOI： |
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| 基金项目:国家自然科学基金资助项目（U1805262,62071247） |
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| Transmit power allocation and trajectory optimization for multi-UAV assisted mobile user communication |
| ZHANG Jun,YONG Kai,WU Yi |
| (School of Communications and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China;College of Photonic and Electronic Engineering,Fujian Normal University,Fuzhou 350117,China) |
| Abstract: |
| For the downlink wireless transmission system of multi-UAV assisted mobile user communication,an optimization method of multi-UAV transmit power,trajectory,and clustering is proposed to maximize the users’ throughput.Considering the user cluster,transmit power allocation,and trajectory optimization of each UAV,an optimization problem of the throughput maximization for multi-UAV assisted multi-user communication is constructed.By introducing auxiliary variables and separating coupling variables,the nonconvex problem is decomposed into two approximate convex optimization problems.Then,based on the greedy algorithm and the successive convex approximation approach,an alternating algorithm is proposed to optimize the two approximate convex optimization problems,and an approximate suboptimal solution of the original nonconvex problem is obtained.The simulation results show that the proposed algorithm can improve the users’ throughput effectively. |
| Key words: UAV communication user clustering power allocation trajectory optimization |
