Spectrum monitoring system based on edge computing and application

Ding Wang; Jianyun Chen; Yongbin Zhou; Pan Li

doi:10.1117/12.2641520

10 November 2022 Spectrum monitoring system based on edge computing and application

Ding Wang, Jianyun Chen, Yongbin Zhou, Pan Li

Proceedings Volume 12348, 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022); 123483L (2022) https://doi.org/10.1117/12.2641520
Event: 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), 2022, Zhuhai, China

Abstract

With the increase of the number of frequency terminals, the electromagnetic spectrum resource becomes particularly important. The traditional electromagnetic spectrum monitoring system is faced with the problems of insufficient transmission bandwidth, shortage of monitoring node resources and large human interference factors. In this paper, edge computing technology is applied to electromagnetic spectrum monitoring, and edge computing processing framework KubeEdge is used to establish a spectrum monitoring system. The system is divided into cloud and edge monitoring node, and multiple distributed spectrum monitoring nodes can be deployed. Taking the signal modulation recognition application as an example, the results show that the system can effectively deploy spectrum monitoring applications to intelligently identify signal modulation modes, and the recognition accuracy of some modulation modes is close to more than 90%.

Citation Download Citation

Ding Wang, Jianyun Chen, Yongbin Zhou, and Pan Li "Spectrum monitoring system based on edge computing and application", Proc. SPIE 12348, 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), 123483L (10 November 2022); https://doi.org/10.1117/12.2641520

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