Modulation Recognition of Radio Signals Based on Edge Computing and Convolutional Neural Network
查看参考文献38篇
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文摘
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Software defined radio (SDR)is a wireless communication technology that uses modern software to control the traditional "pure hardware circuit".It can provide an effective and secure solution to the problem of building multi-mode, multi-frequency and multifunction wireless communication equipment.Although the concept and application of SDR have been studied a lot, there is little discussion about the operating efficiency of the established system.For the purpose of shortening the delay of mapping and reducing the high computing load in the cloud, a radio monitoring system based on edge computing is developed to achieve the flexible, extensible and real-time monitoring of high-performance SDR applications.To promote the edge intelligence of deep learning (DL)service deployment through edge computing (EC), we developed an edge intelligence algorithm of convolutional neural network (CNN)based on attention mechanism to carry out modulation recognition (MR)of the edge signal and make MR closer to the antenna terminal.Through the experiment of the system and the edge algorithm, this thesis verifies the effectiveness of the developed multifunction radio signal monitoring system. |
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来源
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Journal of Communications and Information Networks
,2021,6(3):280-300 【核心库】
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DOI
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10.23919/JCIN.2021.9549123
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关键词
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edge computing
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software-defined radio
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cognitive radio
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USRP
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energy perception
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modulation recognition
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convolutional neural network
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frequencyhopping recognition
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地址
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1.
School of Physics, Electronics, and Electrical Engineering, Ningxia University, Ningxia, 750021
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School of Information Engineering, Ningxia University, Ningxia, 750021
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语种
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英文 |
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文献类型
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研究性论文 |
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ISSN
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2096-1081 |
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学科
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电子技术、通信技术 |
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基金
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国家自然科学基金
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Key project of Ningxia Natural Science Foundation
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文献收藏号
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CSCD:7054598
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