Journal on Communications ›› 2023, Vol. 44 ›› Issue (11): 1-12.doi: 10.11959/j.issn.1000-436x.2023228

• Topics: Key Technologies for Ubiquitous Sensing and Intelligent Recognition in the Ubiquitous Internet of Things •    

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. 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)

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

CLC Number: 

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