无人机隐蔽通信资源分配研究综述OA
Research on Resource Allocation of UAV Covert Communication:A Survey
随着无人机在无线通信中的广泛应用,无人机系统中的物理层安全技术研究已成为学术界的研究热点.与传统的地面通信相比,无人机通信具有良好的移动性、按需部署能力和成本较低等优势.然而,无人机在信息传输过程中易受到空对地视距(Line of Sight,LoS)通信链路广播特性带来的安全威胁.与防止窃听的加密和物理层安全技术相比,隐蔽通信的目的是隐藏信息传输的存在,以提供更好的保密性和安全保护.通过对相关文献的梳理,从5个方面概述了无人机系统隐蔽通信资源分配研究现状,包括无人机基站的资源分配、无人机中继系统的资源分配、无人机监察者的资源分配、无人机协作干扰的资源分配和智能反射面(Intelligent Reflecting Surface,IRS)增强的无人机通信资源分配.总结了当前研究中存在的主要问题,展望了无人机隐蔽通信系统未来的研究趋势.
With the wide application of Unmanned Aerial Vehicle(UAV)in wireless communication,the research on physical layer security technology in UAV systems has become a hot topic in academia.Compared with traditional ground communication,UAV communication has advantages such as enhanced mobility,on-demand deployment capability and reduced costs.However,UAVs are vulnerable to security threats arising from the broadcast characteristics of air-to-ground Line of Sight(LoS)communication link during information transmission.In contrast to the encryption and physical layer security technology aiming at preventing eavesdropping,covert communication aims to conceal the existence of information transmission,providing better confidentiality and security protection.By reviewing relevant literature,the approaches of resource allocation for UAV covert communication are summarized from five aspects,including resource allocation of UAV base station,resource allocation in UAV relay system,resource allocation for UAV surveillance,resource allocation for UAV cooperative interference,and resource allocation in Intelligent Reflective Surface(IRS)enhanced UAV Communication.Finally,main issues in current research are summarized,and future research trends of the UAV covert communication system are discussed.
王正强;任昕志;万晓榆;樊自甫
重庆邮电大学通信与信息工程学院,重庆 400065
隐蔽通信资源分配无人机基站无人机中继协作干扰
covert communicationresource allocationUAV base stationUAV relaycooperative interference
《无线电工程》 2024 (010)
2401-2411 / 11
国家自然科学基金(61701064);四川省区域创新合作项目(2022YFQ0017)National Natural Science Foundation of China(61701064);Sichuan Province Regional Innovation Cooperation Project(2022YFQ0017)
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