多无人机辅助通信中用户匹配与频谱资源联合优化方法  

Joint User Matching and Spectrum Resource Optimization in Multi-UAV Auxiliary Communications

作　　者：吴迪[1] 钱鹏智 陈勇[1,2] WU Di;QIAN Pengzhi;CHEN Yong(The 63rd Research Institute of National University of Defense Technology,Nanjing 210007,China;College of Communication Engineering,Army Engineering University of PLA,Nanjing 210007,China)

机构地区：[1]国防科技大学第六十三研究所,南京210007 [2]陆军工程大学通信工程学院,南京210007

出　　处：《电讯技术》2023年第11期1742-1749,共8页Telecommunication Engineering

摘　　要：针对多无人机作为空中基站为地面设备提供临时服务的动态频谱分配问题,主要考虑无人机与地面用户匹配、子信道分配和功率分配三个方面。为了保证用户通信的公平性,在考虑频谱复用和共信道干扰的情况下,以最大化地面用户最小传输速率为目标,提出了一种用户匹配与频谱资源联合优化算法来解决上述混合整数非线性优化问题,通过聚类算法优化无人机与地面用户的最佳匹配,通过块坐标下降法迭代优化子信道分配和功率分配。仿真实验分析表明,提出的求解方法可以有效提升用户的传输速率,保证用户通信公平性。For the dynamic spectrum allocation of multiple unmanned aerial vehicles(multi-UAV)which provide temporary services for ground users,three aspects are mainly considered,including UAV and ground users matching,subchannel allocation and power allocation.In order to ensure the fairness of user communication,a joint optimization algorithm of user matching and spectrum resources is proposed to solve above mixed integer nonlinear optimization problem by promoting the max-min transmission rate of ground users,considering spectrum multiplexing and common channel interference.The optimal matching between UAV and ground users is optimized by clustering algorithm,and the subchannel allocation and power allocation are iteratively optimized by Block Coordinate Descent(BCD)algorithm.Through performance analysis and algorithm comparison,it is proved that the solution method can effectively improve the transmission rate of users and ensure the fairness of users.

关 键 词：多无人机辅助通信 动态频谱分配 用户匹配 联合优化 聚类算法 块坐标下降(BCD)法 

分 类 号：TN929[电子电信—通信与信息系统]