无人机辅助NOMA下行的用户分簇与功率分配算法  

User Clustering and Power Allocation Algorithm for Unmanned Aerial Vehicle Assisted NOMA Downlink

作　　者：杨青青[1] 韩卓廷 彭艺[1] YANG Qingqing;HAN Zhuoting;PENG Yi(Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650500,China)

机构地区：[1]昆明理工大学信息工程与自动化学院,昆明650500

出　　处：《北京邮电大学学报》2024年第1期31-37,共7页Journal of Beijing University of Posts and Telecommunications

摘　　要：针对用户非均匀分布的无人机辅助非正交多址接入(NOMA)下行通信系统,提出了最大化和速率的用户分簇与功率分配算法。考虑用户服务质量,建立了最大化和速率的功率分配优化问题,为了解决该问题,提出了三步策略降低求解复杂度。首先,确定了无人机的最佳部署位置;其次,基于无人机位置,提出了角度密度的噪声空间聚类算法;最后,使用连续凸逼近方法获得功率分配问题的次优解。仿真结果显示,所提算法的分簇效果与通信性能优于相同场景中的传统算法。A clustering and power allocation algorithm is proposed for unmanned aerial vehicle assisted non-orthogonal multiple access(NOMA)downlink communication systems with non-uniformly distributed users.The optimization problems for maximizing the sum-rate and ensuring quality of service are established,and a three-step strategy is proposed to reduce the computation complexity.First,the optimal deployment position for the unmanned aerial vehicle is determined.Then,based on the unmanned aerial vehicle position,an angle-density based spatial clustering of applications with noise algorithm is proposed.Finally,a suboptimal solution to the power allocation problem is obtained using the successive convex approximation method.Simulation results show that the proposed algorithm outperforms traditional algorithms in terms of clustering effectiveness and communication performance in the same scenario.

关 键 词：无人机 非正交多址接入 信道增益差异 用户分簇 功率分配 

分 类 号：TN929.51[电子电信—通信与信息系统]