多无人机辅助NOMA网络的联合无线资源分配算法  

Joint Wireless Resource Allocation Algorithm for Multi-UAV Assisted Downlink NOMA Networks

作　　者：邵鸿翔[1] 孙有铭 冀保峰 韩哲 刘云卿 SHAO Hongxiang;SUN Youming;JI Baofeng;HAN Zhe;LIU Yunqing(School of Computer and Information Engineering,Luoyang Institute of Science and Technology,Luoyang 471023,China;Unit 61062,PLA,Beijing 100089,China;School of Information Engineering,Henan University of Science and Technology,Luoyang 471023,China)

机构地区：[1]洛阳理工学院计算机与信息工程学院,河南洛阳471023 [2]中国人民解放军61062部队,北京100089 [3]河南科技大学信息工程学院,河南洛阳471023

出　　处：《无线电工程》2024年第3期565-572,共8页Radio Engineering

基　　金：国家自然科学基金(61901518);河南省科技厅科技攻关项目(222102210094,232102210065)。

摘　　要：为了满足高容量需求和通信质量,提出了一种多无人机(Unmanned Aerial Vehicle, UAV)辅助下行非正交多址(Non-Orthogonal Multiple Access, NOMA)网络的联合定位、用户调度、用户配对和功率分配优化算法。在基站位置固定的网络场景下,推导出通用最优用户配对和功率分配策略闭式解。针对多小区场景,将无人机的位置优化问题转化为一个局部合作博弈问题,并证明所提博弈是一个精确的潜在博弈,它至少有一个纯策略纳什均衡(Pure Strategy Nash Equilibrium, PNE),且最优的纳什均衡(Nash Equilibrium, NE)能够最大化网络和速率。设计了一种集中分布式学习算法寻找最优PNE。仿真结果表明,该算法优于现有方案,显著提高了网络效用。To meet requirement for high capacity and communication quality,a joint location,user scheduling,user pairing and power allocation optimization algorithm is proposed for multi-Unmanned Aerial Vehicle(UAV)assisted downlink Non-Orthogonal Multiple Access(NOMA)networks.Firstly,a closed solution of power distribution strategy and general optimal user pairing is derived with fixed location of base station.Then,the UAV location optimization problem is formulated as a local cooperation game for multi-cell scenario.In addition,the proposed game is proved as an exact potential game,which has at least one Pure Strategy Nash Equilibrium(PNE)and the best Nash Equilibrium(NE)can maximize the total network sum-rate.Finally,a centralized-distributed iterative learning algorithm is designed to explore the optimal PNE.Simulation results show that the proposed algorithm outperforms the existing schemes and has better performance in terms of system sum-rate.

关 键 词：无人机 非正交多址接入 用户分组 功率分配 位置优化 

分 类 号：TN929.5[电子电信—通信与信息系统]