无线通信环境下低空无人机网络覆盖优化控制  

Optimal Control of Low-Altitude UAV Network Coverage in The Wireless Communication Environment

作　　者：冯榜伟 FENG Bangwei(Qiandongnan Polytechnic College,Guizhou Kaili 556000,China;Qiandongnan Technician Institute,Guizhou Kaili 556000,China)

机构地区：[1]黔东南理工职业学院,贵州凯里556000 [2]黔东南技师学院,贵州凯里556000

出　　处：《长江信息通信》2025年第2期16-18,共3页Changjiang Information & Communications

摘　　要：由于现有的控制方法网络能量控制不平衡,为此研究无线通信环境下低空无人机网络覆盖优化控制。通过计算时延,在三维坐标下,调整无人机的执行动作指令,不断改变无人机运动轨迹以提升网络质量。不断对无人机基站的神经网络参数进行优化,直至达到预设的学习回合次数,从而实现对无人机基站集群自动控制策略的有效优化。实验结果表明,频谱的幅值在[-0.5db,0.5db]之间浮动,实现了在无线通信环境下的网络能量平衡,从而提升了算法的网络有效覆盖概率,增强网络的通信覆盖能力。Due to the imbalance of network energy control of existing control methods,the optimization control of low-altitude UAV network coverage in wireless communication environment is studied.By calculating the time delay,adjust the execution action command of the uav in the three-dimensional coordinates,and constantly change the movement trajectory of the uav to improve the quality of the network.The neural network parameters of the uav base station are continuously optimized until the preset number of learning rounds is reached,so as to effectively optimize the automatic control strategy of the uav base station cluster.The experimental results show that the amplitude of the spectrum floats between[-0.5db,0.5db],realizing the network energy balance in the wireless communication environment,thus improving the network effective coverage probability of the algorithm and enhancing the communication coverage ability of the network.

关 键 词：无线通信 无人机 网络覆盖 优化控制 低空 

分 类 号：TN929.5[电子电信—通信与信息系统]