A new weighted energy detection scheme for centralized cognitive radio networks

Sharifi, Morteza; Sharifi, A.A.; Niya, Javad Musevi

doi:10.1109/istel.2014.7000850

Cited by 2 publications

(3 citation statements)

References 17 publications

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“…x , can be written as [15,16] (1) to γ j be identically independent distributed Gaussian random variables with zero mean and unit variance. Therefore, γ j can be defined as the average SNR of PU signal at the jth spectrum sensor.…”

Section: System Model and Energy Detection Schemementioning

confidence: 99%

“…Obviously, in the absence of PUEA (ρ = 0), the hypothesis H 0 corresponds to the state H 0 . As mentioned before, in the presence of the PUEA, we have (14) and (15) Thus, (16) where In this case, the false alarm probability will be changed and can be written as: (17) With regard the proposed system model, we have Assuming the presence of PUEA in vacant frequency bands, the parameter fa P is parameterized by attack strength ρ. Thus, the FC needs to be estimate of attack parameter ρ to obtain an optimal threshold K opt in the K-out-of-N rule.…”

Section: Cooperative Spectrum Sensingmentioning

confidence: 99%

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Dynamic Threshold Selection Approach in Voting Rule for Detection of Primary User Emulation Attack

Sharifi¹,

Mofarreh-Bonab²

2018

Electrica

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Cognitive radio (CR) technology presents a mechanism for efficient spectrum usage. Spectrum sensing is an essential CR function which includes an intelligent signal processing algorithm to identify the vacant frequency bands. Cooperative spectrum sensing (CSS) has been widely adopted to improve the performance of CR networks. Unfortunately, CR networks are vulnerable to security threats. In this study, we propose an optimal threshold selection approach to address one of the most important attacks called primary user emulation attack (PUEA). In PUEA, a malicious attacker mimics some important primary signal features and deceives CR sensors to prevent them from accessing the available channels. In this study, we assume a malicious PUEA which is relatively located near the potential user (PU) transmitter and senses the spectrum and accurately detects the vacant frequency bands to transmit its fake signal. We estimate attack strength and then apply the K-out-of-N rule to obtain an optimum and dynamic threshold K, minimizing the global error probability. Here, the attack strength is defined as the ratio of the average transmission power of the PUEA to the average power of the PU. The achieved simulation results indicate that the performance of the suggested method is satisfactory in detecting the malicious PUEA compared with conventional methods.

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Section: System Model and Energy Detection Schemementioning

confidence: 99%

Section: Cooperative Spectrum Sensingmentioning

confidence: 99%

Dynamic Threshold Selection Approach in Voting Rule for Detection of Primary User Emulation Attack

Sharifi¹,

Mofarreh-Bonab²

2018

Electrica

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“…Moreover, spectrum allocation as a key part of cognitive radio technology, has received a great deal of attention from experts and scholars. Cognitive radio spectrum allocation can be divided into two categories according to the network structure [1,6]: centralized spectrum allocation [7][8][9] and distributed spectrum allocation [10][11][12]. The two methods of allocation are applied in different networks due to their respective characteristics.…”

Section: Introductionmentioning

confidence: 99%

A Dynamic Spectrum Allocation Algorithm for a Maritime Cognitive Radio Communication System Based on a Queuing Model

Zhang

Yang

Zhang³

et al. 2017

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With the rapid development of maritime digital communication, the demand for spectrum resources is increasing, and building a maritime cognitive radio communication system is an effective solution. In this paper, the problem of how to effectively allocate the spectrum for secondary users (SUs) with different priorities in a maritime cognitive radio communication system is studied. According to the characteristics of a maritime cognitive radio and existing research about cognitive radio systems, this paper establishes a centralized maritime cognitive radio communication model and creates a simplified queuing model with two queues for the communication model. In the view of the behaviors of SUs and primary users (PUs), we propose a dynamic spectrum allocation (DSA) algorithm based on the system status, and analyze it with a two-dimensional Markov chain. Simulation results show that, when different types of SUs have similar arrival rates, the algorithm can vary the priority factor according to the change of users' status in the system, so as to adjust the channel allocation, decreasing system congestion. The improvement of the algorithm is about 7%-26%, and the specific improvement is negatively correlated with the SU arrival rate.

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A new weighted energy detection scheme for centralized cognitive radio networks

Cited by 2 publications

References 17 publications

Dynamic Threshold Selection Approach in Voting Rule for Detection of Primary User Emulation Attack

Dynamic Threshold Selection Approach in Voting Rule for Detection of Primary User Emulation Attack

A Dynamic Spectrum Allocation Algorithm for a Maritime Cognitive Radio Communication System Based on a Queuing Model

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