星地融合网络中基于遍历容量的地面用户调度算法  

Ergodic Capacity-based Scheduling Algorithmfor Terrestrial User in Satellite-unmanned Aerial Vehicle-terrestrial Network

作　　者：马津伟[1] MA Jin-wei(College of Continuing Education,Zhumadian VocatiomaL and Technical College,Zhumadian 463000,China)

机构地区：[1]驻马店职业技术学院继续教育学院,河南驻马店463000

出　　处：《火力与指挥控制》2022年第2期93-97,102,共6页Fire Control & Command Control

基　　金：河南省2018年科技发展计划项目(182102210599);河南省“十三五”规划基金资助项目(2019JKGHYB0592)。

摘　　要：星地融合网络采用无人机作为卫星与地面用户的中继设备,有效地解决偏远地区因地面无线覆盖能力不足问题。针对星地融合网络的系统资源调度问题,提出基于遍历容量的比例公平性(ergodic capacity-based proportional fairness,ECPF)调度算法。ECPF调度算法构建基于自由空间光通信(free space optical,FSO)的卫星-无人机的通信模型,并推导FSO链路的瞬时信噪比;构建基于译码转发(decode-and-forward,DF)的无人机-用户的通信模型,并推导RF链路的瞬时信噪比。然后,计算用户的遍历容量,并结合比例公平性(proportional fairness,PF)调度算法对资源进行调度。仿真结果表明,提出的ECPF调度算法更好地保证了用户使用资源的公平性,提升了系统的吞吐量。Satellite unmanned aerial vehicle-terrestrial network uses unmanned aerial vehicle(UAV)as the relay equipment between satellite and ground users,which solves the insufficient coverage of terrestrial wireless systems in remote areas.Therefore,ergodic capacity-based proportional fairness(ECPF)scheduling algorithm is proposed to schedule system resources.In ECPF algorithm,the free space optical-based communication model between satellite and UAV is constructed.Then the instantaneous signal-to-noise ratio of FSO link is deduced.The decode-and forward-based communication model between UAV and terrestrial users is rebuilt.Then the instantaneous signal-tonoise ratio of RF link is deduced.Afterwards,Ergodic Capacity(EC)of users is computed,and ECbased proportional fairness scheduling algorithm is used to schedule resources.The simulation results show that the proposed ECPF algorithm can better ensure the fairness of users’operation resources,and can improve the throughput of the system.

关 键 词：星地融合网络 无人机 自由空间光通信 比例公平性调度 遍历容量 

分 类 号：TPT393[自动化与计算机技术]