An Algorithm for Spectrum Sensing in Cognitive Radio under Noise Uncertainty
نویسندگان
چکیده
منابع مشابه
An Algorithm for Spectrum Sensing in Cognitive Radio under Noise Uncertainty
With increasing demand of new wireless applications and increasing number of wireless user’s problem of spectrum scarcity arises. Cognitive Radio technology supports dynamic spectrum access to address spectrum scarcity problem. Reliability of cognitive operation entirely depends upon how effectively task of spectrum sensing has been performed. Spectrum sensing is a process of discovering voids ...
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An Improved Cognitive Radio Spectrum Sensing Algorithm
To improve the cognitive radio user’s detection performance and reduce the complexity, this paper composites the Fractal box dimension algorithm and the 3th-order cyclic-cumulate (TCC) algorithm and improves the TCC algorithm, so a novel detection algorithm is proposed that the Fractal box dimension is used when the signal to noise (SNR) is high, while the improved TCC algorithm is used when th...
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Cooperative energy spectrum sensing has been proved effective to detect the spectrum holes in Cognitive Radio (CR). However, its performance may suffer from the noise uncertainty, which is portrayed by the SNR wall in some literatures. In this paper we analyze the spectrum sensing performance under noise uncertainty and find an alternative approach to obtain the SNR wall. Then the average SNR w...
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Cooperative Spectrum Sensing (CSS) is an effective approach to overcome the impact of multi-path fading and shadowing issues. The reliability of CSS can be severely degraded under Byzantine attack, which may be caused by either malfunctioning sensing terminals or malicious nodes. Almost, the previous studies have not analyzed and considered the attack in their models. The present study introduc...
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ژورنال
عنوان ژورنال: International Journal of Future Generation Communication and Networking
سال: 2014
ISSN: 2233-7857,2233-7857
DOI: 10.14257/ijfgcn.2014.7.3.06