面向低空智联网频谱认知与决策的云边端融合体系架构  

Cloud-edge-device fusion architecture oriented to spectrum cognition and decision in low altitude intelligence network

作　　者：董超 经宇骞[1,2] 屈毓锛 周博 黄洋 贾子晔 戴海鹏 吴启晖[1,2] DONG Chao;JING Yuqian;QU Yuben;ZHOU Bo;HUANG Yang;JIA Ziye;DAI Haipeng;WU Qihui(College of Electronic and Information Engineering/College of Integrated Circuits,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China;Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space,Ministry of Industry and Information Technology,Nanjing 210016,China;Department of Computer Science and Technology,Nanjing University,Nanjing 210008,China)

机构地区：[1]南京航空航天大学电子信息工程学院/集成电路学院,江苏南京210016 [2]电磁频谱空间动态认知系统工业和信息化部重点实验室,江苏南京210016 [3]南京大学计算机科学与技术系,江苏南京210008

出　　处：《通信学报》2023年第11期1-12,共12页Journal on Communications

基　　金：国家自然科学基金资助项目(No.61931011,No.62072303,No.62231015,No.62201255)。

摘　　要：介绍了面向低空智联网频谱认知与决策这一典型应用场景的新型体系架构。首先,分析了低空智联网频谱安全管控与高效共享面临的挑战,凝练了亟待解决的关键科学问题。其次,以云边端深度融合支撑低空智联网频谱管控和共享为思路,提出了面向低空智联网频谱认知与决策的云边端融合体系架构。接着,探讨了基于云边端融合的低空智联网频谱快速精准认知与敏捷适变决策等关键技术。最后,介绍了该体系架构的未来研究方向。A new architecture for the typical application scenario of low altitude intelligence network spectrum cognition and decision was introduced.Firstly,the challenges of spectrum security management and efficient sharing in low altitude intelligence network were analyzed,and the key scientific problems that need to be solved were summarized.Secondly,to support the spectrum management and sharing of low altitude intelligence network through deep integration of cloud,edge,and device,the cloud-edge-device fusion architecture for low altitude intelligence network spectrum cognition and decision was proposed.Then,the key technologies such as fast and accurate spectrum recognition and agile adaptive decision making based on cloud-edge-device fusion were discussed.Finally,the future research direction of the architecture was introduced.

关 键 词：低空智联网 频谱认知与决策 云边端融合 协同学习 协同推理 

分 类 号：TN92[电子电信—通信与信息系统]