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Identifying malicious users accurately in cognitive radio networks (CRNs) is the guarantee for excellent detection performance. However, existing algorithms fail to take the mobility of secondary users into consideration. If applied directly in mobile CRNs, those conventional algorithms would overly punish reliable users at extremely bad or good locations, leading to an obvious decrease in detection...
Correlation-based algorithms are low-complexity spectrum sensing methods requiring little knowledge on primary signals or noise signals. However, their detection performance severely degrades in the low signal-to-noise ratio (SNR) regime with low signal correlation, which happens to be quite common in practice. In this paper, a weighted correlation- based spectrum sensing scheme and its simplified...
The majority of existing papers about spectrum sensing have the assumption that secondary users (SUs) are stationary. However, mobility is an essential feature of mobile communications networks. In this paper, the detection performance of spectrum sensing by mobile SUs was analyzed. Three performance metrics, i.e., detection probability, miss detection probability and false alarm probability, were...
Cognitive radio is able to effectively increase spectral utilization. However, cooperative spectrum sensing gives malicious users chances to interfere with its decision processes. If a mobile secondary user's energy detection results become unreliable, conventional trust-value based cooperative spectrum sensing algorithms, which are used to resist malicious attacks, cannot distinguish whether it's...
Cognitive radio has outstanding advantages in solving scarcity of spectrum resource and low utilization rate of spectrum in current wireless communication. Spectrum sensing method in multi-bit decision model can effectively improve the detection performance when comparing with the conventional 1- bit decision model. Aiming at the actual scenarios that there may exist malicious users in the network,...
Cognitive radio is able to effectively solve problems like spectrum resource scarcity and low spectrum utilization rate in wireless communication system. The detection performance of multi-bit decision algorithm is much better than that of conventional 1-bit decision algorithm. Aiming at attacks from malicious users in multi-bit decision model when cognitive users are mobile, this paper proposes a...
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