Sensing techniques for Cognitive Radio - State of the art and trends
نویسندگان
چکیده
Dr Yohannes ALEMSEGED DEMESSIE NICT (Japan) Lionel BIARD CEA-LETI (France) Abdelaziz BOUZEGZI CEA-LETI (France) Dr Mérouane DEBBAH SUPELEC (France) Kasra HAGHIGHI Chalmers (Sweden) Dr Pierre JALLON CEA-LETI (France) Marc LAUGEOIS CEA-LETI (France) Dr Paulo MARQUES Instituto de Telecomunicações (Portugal) Dr Maurizio MURRONI CNIT-UNICA (Italy) Dr Dominique NOGUET CEA-LETI (France) Prof. Jacques PALICOT SUPELEC (France) Dr Chen SUN NICT (Japan) Dr Shyamalie THILAKAWARDANA University of Surrey (UK) Akira YAMAGUCHI KDDI R&D Laboratories (Japan)
منابع مشابه
Spectrum Sensing Data Falsification Attack in Cognitive Radio Networks: An Analytical Model for Evaluation and Mitigation of Performance Degradation
Cognitive Radio (CR) networks enable dynamic spectrum access and can significantly improve spectral efficiency. Cooperative Spectrum Sensing (CSS) exploits the spatial diversity between CR users to increase sensing accuracy. However, in a realistic scenario, the trustworthy of CSS is vulnerable to Spectrum Sensing Data Falsification (SSDF) attack. In an SSDF attack, some malicious CR users deli...
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Collaborative Spectrum Sensing (CSS) is an effective approach to improve the detection performance in Cognitive Radio (CR) networks. Inherent characteristics of the CR have imposed some additional security threats to the networks. One of the common threats is Primary User Emulation Attack (PUEA). In PUEA, some malicious users try to imitate primary signal characteristics and defraud the CR user...
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In this chapter, we present the state of the art of the spectrum sensing techniques for cognitive radio networks as well and their comparisons. The rest of the chapter is organized as below: Section I.1, Section I.2, and Section I.3 present the spectrum management problem and the cognitive radio cycle as well as the compressive sensing solution; Section II.1 describes the spectrum sensing model...
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