基于异构移动用户的无人机基站3D部署研究  

Research on 3D Deployment of UAV Base Station Based on Heterogeneous Mobile Users

作　　者：路颜霞 米志超 周雁翎 吴迪 王海 LU Yanxia;MI Zhichao;ZHOU Yanling;WU Di;WANG Hai(Army Engineering University of PLA,Nanjing Jiangsu 210007,China)

机构地区：[1]中国人民解放军陆军工程大学,江苏南京210007

出　　处：《通信技术》2024年第11期1144-1152,共9页Communications Technology

基　　金：国家自然科学基金(6217011062)。

摘　　要：空中无人机基站因具有高灵活性等优势,可扩大对地面用户的通信支持范围,在战场环境下可以解决地面机动用户的移动覆盖问题。考虑到战场环境中高层地形特征对无线电信号的影响、用户差异化的通信需求,以及无人机基站能耗问题,对地面用户信道容量、无人机能耗、无人机基站动态部署分别建模,提出了一种基于异构移动用户的强化学习通信覆盖算法(Reinforcement Learning Communication Coverage Algorithm Based on Heterogeneous Mobile Users,ABS-RL),旨在为地面用户提供高质量的通信服务。仿真结果表明,该算法在提高地面用户信道容量、降低无人机基站总能耗方面有显著优势。Due to its high flexibility and other advantages,aerial drone base stations can expand the communication support range for ground users and solve the mobile coverage problem of ground mobile users in battlefield environments.Considering the impact of high-level terrain features on radio signals in the battlefield environment,the differentiated communication needs of users,and the energy consumption issues of UAV(Unmanned Aerial Vehicle)base stations,a reinforcement learning communication coverage algorithm based on heterogeneous mobile users(ABS-RL)is proposed to model the channel capacity of ground users,the energy consumption of UAV,and the dynamic deployment of UAV base stations,aiming to provide high-quality communication services for ground users.The simulation results demonstrate that the algorithm offers significant advantages in enhancing the channel capacity for ground users and reducing the total energy consumption of UAV base stations.

关 键 词：异构移动用户 高层地形特征 信道容量 无人机能耗 Q-learning算法 马尔可夫决策过程 

分 类 号：TN929.52[电子电信—通信与信息系统]