无人机集群通信系统资源调度算法研究综述  

Review on Resource Scheduling Algorithms in UAV Cluster Communication System

作　　者：赵丽花 谌颃 ZHAO Lihua;CHEN Hang(School of Information Engineering,Guangzhou Vocational College of Science and Technology and Trade,Guangzhou,Guangdong 511442,China)

机构地区：[1]广州科技贸易职业学院信息工程学院,广东广州511442

出　　处：《信息记录材料》2023年第12期23-25,共3页Information Recording Materials

基　　金：2022年广州市质量工程项目“智能信息处理工作室”(2022MSGZS017)。

摘　　要：本文主要针对无人机(unmanned aerial vehicle, UAV)集群通信系统资源调度的关键技术进行综述,通过梳理国内外相关研究文献,总结目前主流的资源调度算法,对各种算法的特点进行分析比较。介绍了基于凸优化的资源调度算法、基于启发式的资源调度算法、基于强化学习的资源调度算法及基于联合优化的资源调度算法等4种类型,并提炼出资源优化存在的主要问题,为后续研究工作提供参考。This paper mainly reviews the key technologies of resource scheduling for unmanned aerial vehicle(UAV)cluster communication system,by combing the relevant research literature at home and abroad,the current mainstream resource scheduling algorithms are summarized,and the characteristics of various algorithms are analyzed and compared.This paper introduces four types of resource scheduling algorithms based on convex optimization algorithm,heuristics algorithm and reinforcement learning algorithm,and refines the main problems to provide a reference for subsequent research work.

关 键 词：无人机集群 资源调度 凸优化 强化学习 

分 类 号：TN911[电子电信—通信与信息系统]