{"title":"认知无线电频谱感知方法的FPGA实现","authors":"D. Teguig, M. S. Azzaz","doi":"10.1109/ISNCC.2018.8530971","DOIUrl":null,"url":null,"abstract":"Spectrum sensing (SS) plays a significant role in cognitive radio network. In this paper, we present FPGA architecture implementation of Energy Detection (ED) based spectrum sensing and Goodness of Fit (GoF) based spectrum sensing methods. The aim of these methods is to detect the presence of signal in cognitive radio network (CRN) environment. These techniques have been described in VHDL and implemented on Xilinx FPGA technology, through an experimental demonstration via a bench composed of dongle (RTL2832U), a laptop and a XUP Virtex-II Pro FPGA platform. Implementation results and performance evaluation validate and demonstrate the feasibility of our hardware design. Therefore, this implementation confirms the efficiency (performance and complexity) of blind detection methods for cognitive radio. The results showed that the hardware performances matched well with theoretical analysis.","PeriodicalId":313846,"journal":{"name":"2018 International Symposium on Networks, Computers and Communications (ISNCC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"FPGA implementation of Spectrum Sensing methods for Cognitive Radio\",\"authors\":\"D. Teguig, M. S. Azzaz\",\"doi\":\"10.1109/ISNCC.2018.8530971\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Spectrum sensing (SS) plays a significant role in cognitive radio network. In this paper, we present FPGA architecture implementation of Energy Detection (ED) based spectrum sensing and Goodness of Fit (GoF) based spectrum sensing methods. The aim of these methods is to detect the presence of signal in cognitive radio network (CRN) environment. These techniques have been described in VHDL and implemented on Xilinx FPGA technology, through an experimental demonstration via a bench composed of dongle (RTL2832U), a laptop and a XUP Virtex-II Pro FPGA platform. Implementation results and performance evaluation validate and demonstrate the feasibility of our hardware design. Therefore, this implementation confirms the efficiency (performance and complexity) of blind detection methods for cognitive radio. The results showed that the hardware performances matched well with theoretical analysis.\",\"PeriodicalId\":313846,\"journal\":{\"name\":\"2018 International Symposium on Networks, Computers and Communications (ISNCC)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Symposium on Networks, Computers and Communications (ISNCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISNCC.2018.8530971\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Symposium on Networks, Computers and Communications (ISNCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISNCC.2018.8530971","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
频谱感知在认知无线电网络中起着重要的作用。在本文中,我们提出了基于能量检测(ED)的频谱感知和基于拟合优度(GoF)的频谱感知方法的FPGA架构实现。这些方法的目的是在认知无线网络(CRN)环境下检测信号的存在。这些技术已在VHDL中描述,并在Xilinx FPGA技术上实现,通过由加密狗(RTL2832U)、笔记本电脑和XUP Virtex-II Pro FPGA平台组成的实验演示。实现结果和性能评估验证了硬件设计的可行性。因此,该实现验证了认知无线电盲检测方法的效率(性能和复杂度)。结果表明,硬件性能与理论分析吻合较好。
FPGA implementation of Spectrum Sensing methods for Cognitive Radio
Spectrum sensing (SS) plays a significant role in cognitive radio network. In this paper, we present FPGA architecture implementation of Energy Detection (ED) based spectrum sensing and Goodness of Fit (GoF) based spectrum sensing methods. The aim of these methods is to detect the presence of signal in cognitive radio network (CRN) environment. These techniques have been described in VHDL and implemented on Xilinx FPGA technology, through an experimental demonstration via a bench composed of dongle (RTL2832U), a laptop and a XUP Virtex-II Pro FPGA platform. Implementation results and performance evaluation validate and demonstrate the feasibility of our hardware design. Therefore, this implementation confirms the efficiency (performance and complexity) of blind detection methods for cognitive radio. The results showed that the hardware performances matched well with theoretical analysis.