多无人机辅助的NOMA中继系统总通信速率优化  

Sum communication rate optimization in multi-UAV assisted relaying system with NOMA

作　　者：黄仰超[1] 安琪 胡航 潘钰 HUANG Yangchao;AN Qi;HU Hang;PAN Yu(School of Information and Navigation College,Air Force Engineering University,Xi’an 710077,China;293886 of PLA,Urumqi 830000,China;School of Electronic Countermeasures,National University of Defense Technology,Hefei 230037,China)

机构地区：[1]空军工程大学信息与导航学院,陕西西安710077 [2]中国人民解放军93886部队,新疆乌鲁木齐830000 [3]国防科技大学电子对抗学院,安徽合肥230037

出　　处：《华中科技大学学报（自然科学版）》2023年第11期105-113,共9页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基　　金：国家自然科学基金资助项目(61901509)。

摘　　要：为解决无线通信中的频谱资源稀缺问题,提出一种多无人机(UAV)辅助的非正交多址(NOMA)接入中继系统.以优化系统总通信速率为目标,综合考虑信息因果约束、无人机发射功率约束与最大服务能力约束,构建了用户分组、无人机轨迹规划与功率分配的联合优化问题.为解决这一高度耦合的非线性混合整数规划问题,提出一种两步优化策略.基于图论提出最大权匹配下的用户分组算法,根据分组结果,通过引入Sigmoid函数和辅助变量法,将功率分配和轨迹规划问题分别转化为几何规划与凸规划问题求解.仿真结果表明:所提出的两步优化算法能够有效提升系统的总通信速率.To solve the spectrum resource scarcity problem in wireless communication,a multi unmanned aerial vehicle(UAV)assisted relaying system with non-orthogonal multi access(NOMA)was proposed.To optimize the system sum communication rate,the joint optimization problem of user grouping,UAV trajectory planning and power allocation was constructed by considering the information causality constraint,UAV maximum transmit power constraint and UAV maximum service capacity constraint.To solve this highly coupled nonlinear mixed integer programming problem,a two-step optimization strategy was proposed.A user grouping algorithm conforming to maximum weight matching was proposed based on graph-theory,and according to the grouping results,the power allocation and trajectory planning problems were transformed into geometric program(GP)and convex program,respectively,by introducing the Sigmoid function and auxiliary variables.Simulation results show that the proposed two-step optimization algorithm can effectively improve the sum communication rate of the system.

关 键 词：无人机 移动中继 非正交多址 用户分组 轨迹规划 

分 类 号：TN924[电子电信—通信与信息系统]