一种面向多任务的无人机辅助的通信网络资源分配与轨迹优化研究  

Research on Resource Allocation and Trajectory Optimization of a Multitask Unmanned Aerial Vehicles Assisted Communication Network

作　　者：裴二荣[1] 娄宇涵 李永刚[1] 黎伟 PEI Errong;LOU Yuhan;LI Yonggang;LI Wei(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;Chongqing Jinmei Communication Co.,Ltd.,Chongqing 400035,China)

机构地区：[1]重庆邮电大学通信与信息工程学院,重庆400065 [2]重庆金美通信有限公司,重庆400035

出　　处：《电子与信息学报》2024年第7期2748-2756,共9页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(62071077);重庆成渝科技创新项目(KJCXZD2020026)。

摘　　要：装载各种有效荷载的无人机(UAV)能够实现传感、通信和计算等多任务,因而常被部署到数据采集(DA)和辅助计算等领域。但是到目前为止,绝大多数研究仅专注于单一功能的无人机辅助的通信网络资源分配与轨迹优化,对于面向多任务的资源分配和轨迹优化问题还未解决。为此,该文提出一种综合考虑无人机数据采集、数据广播以及计算任务卸载的无人机辅助的通信网络资源优化的分配策略,旨在通过联合优化传输占空比、用户发射功率与无人机轨迹,在满足目标位置采集数据实时广播的前提下,最大化用户卸载量。为了解决多变量耦合优化问题,提出了基于块坐标下降(BCD)和连续凸逼近(SCA)的高效迭代优化算法,将耦合优化问题分解为3个子问题进行迭代优化。最后,大量仿真结果表明,该算法在公平性和总卸载计算量方面都优于其他测试方案。Unmanned Aerial Vehicles(UAV)loaded with various payloads can achieve multiple tasks such as sensing,communication,and computing,and are often deployed in fields such as Data Acquisition(DA)and auxiliary computing.However,so far,the vast majority of research has only focused on single function drone resource allocation and trajectory optimization,and the problem of multi task oriented drone resource allocation and trajectory optimization has not been solved yet.Therefore,an allocation strategy for optimizing drone communication network resources is proposed that comprehensively considers drone data acquisition,data broadcasting,and computing task offloading.The aim is to maximize user offloading by jointly optimizing transmission duty cycle,user transmission power,and drone trajectory,while meeting the real-time broadcast of target location data collection.In order to solve the problem of multivariable coupled optimization,an efficient iterative optimization algorithm based on Block Coordinate Descent(BCD)and Successive Convex Approximate(SCA)is proposed.The coupled optimization problem is decomposed into three sub problems for iterative optimization.Finally,a large number of simulation results show that the algorithm outperforms other testing schemes in terms of fairness and total offloading computation.

关 键 词：无人机通信 移动边缘计算 数据采集 凸优化 

分 类 号：TN929.5[电子电信—通信与信息系统]