面向低空智联网频谱认知与决策的云边端融合体系架构

doi:10.11959/j.issn.1000-436x.2023228

通信学报 ›› 2023, Vol. 44 ›› Issue (11): 1-12.doi: 10.11959/j.issn.1000-436x.2023228

• 专题：面向泛在物联的普适感知与智能识别关键技术 •

面向低空智联网频谱认知与决策的云边端融合体系架构

董超¹^,², 经宇骞¹^,², 屈毓锛¹^,², 周博¹^,², 黄洋¹^,², 贾子晔¹^,², 戴海鹏³, 吴启晖¹^,²

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

修回日期:2023-09-27 出版日期:2023-11-01 发布日期:2023-11-01
作者简介:董超（1980− ），男，山东滨州人，博士，南京航空航天大学教授、博士生导师，主要研究方向为无人机集群智能网络、低空智联网、边缘网络智能、无人机协同智能应用、大规模无线网络仿真等
经宇骞（1998− ），男，江苏扬州人，南京航空航天大学博士生，主要研究方向为空地一体网络、联邦学习等
屈毓锛（1987− ），男，湖北孝感人，博士，南京航空航天大学副研究员、硕士生导师，主要研究方向为移动边缘计算、边缘人工智能等
周博（1991− ），男，安徽巢湖人，博士，南京航空航天大学教授，主要研究方向为电磁频谱态势认知、智能无线通信网络、信息新鲜度等
黄洋（1989− ），男，江西樟树人，博士，南京航空航天大学副教授、硕士生导师，主要研究方向为电磁博弈、频谱管控、物联网技术等
贾子晔（1990− ），女，山西忻州人，博士，南京航空航天大学副教授、硕士生导师，主要研究方向为天地一体化网络、卫星网络、低空智联网等
戴海鹏（1985− ），男，湖南娄底人，博士，南京大学副教授、博士生导师，主要研究方向为物联网、数据挖掘、移动计算、边缘智能等
吴启晖（1970− ），男，安徽黄山人，博士，南京航空航天大学教授，主要研究方向为认知信息论、电磁空间频谱智能管控、天地一体化信息网络和无人机集群智能通信等
基金资助:
国家自然科学基金资助项目(61931011);国家自然科学基金资助项目(62072303);国家自然科学基金资助项目(62231015);国家自然科学基金资助项目(62201255)

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

Chao DONG¹^,², Yuqian JING¹^,², Yuben QU¹^,², Bo ZHOU¹^,², Yang HUANG¹^,², Ziye JIA¹^,², Haipeng DAI³, Qihui WU¹^,²

¹ College of Electronic and Information Engineering/ College of Integrated Circuits, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
² Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, Ministry of Industry and Information Technology, Nanjing 210016, China
³ Department of Computer Science and Technology, Nanjing University, Nanjing 210008, China

Revised:2023-09-27 Online:2023-11-01 Published:2023-11-01
Supported by:
The National Natural Science Foundation of China(61931011);The National Natural Science Foundation of China(62072303);The National Natural Science Foundation of China(62231015);The National Natural Science Foundation of China(62201255)

摘要/Abstract

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。

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

Abstract:

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.

Key words: low altitude intelligence network, spectral cognitive and decision, cloud-edge-device fusion, collaborative learning, collaborative inference

中图分类号:

TN92

董超, 经宇骞, 屈毓锛, 周博, 黄洋, 贾子晔, 戴海鹏, 吴启晖. 面向低空智联网频谱认知与决策的云边端融合体系架构[J]. 通信学报, 2023, 44(11): 1-12.

Chao DONG, Yuqian JING, Yuben QU, Bo ZHOU, Yang HUANG, Ziye JIA, Haipeng DAI, Qihui WU. Cloud-edge-device fusion architecture oriented to spectrum cognition and decision in low altitude intelligence network[J]. Journal on Communications, 2023, 44(11): 1-12.

图/表 4

参考文献 21

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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

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