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Spectrum sensing is a fundamental technique of cognitive radio (CR) system to detect the presence of primary user (PU) transmissions in the licensed spectrum. This paper investigates secondary user (SU) selection based cooperative spectrum sensing under exponentially embedded family (EEF) criterion. With an aim to estimate the optimal number of cooperative users who are better fitting for participating...
In recent years, cooperative spectrum sensing (CSS) for cognitive radio networks (CRN) have been widely investigated in various research aspects. With an aim to develop easy-to-implement CSS schemes, this paper proposes two optimal strategies to manipulate the transmit powers of the cooperative secondary users (SU) in the CSS intervals. When the joint channel statistics (CS) of the sensing and reporting...
This paper proposes an optimal cooperative spectrum sensing scheme, based on the criterion of deflection coefficient maximization of the global decision statistic. Multiple cooperative secondary users serve in the cognitive radio network to provide space diversity for spectrum sensing. After the fusion center acquires the optimal fusion weights, an optimal global threshold setting strategy is utilized...
In this paper, three optimal linear soft fusion schemes for cooperative sensing are proposed on the basis of corresponding optimality criteria, namely Neyman-Pearson (N-P), deflection coefficient maximization (DCM), and linear quadratic optimization (LQO). Multiple cooperative secondary users (SU) in the cognitive radio (CR) network simply serve as relays to provide space diversity for the fusion...
This paper investigates secondary user clusters based cooperative spectrum sensing. Secondary users in the cognitive radio network are grouped into multiple clusters and the cooperative spectrum sensing is performed on a hierarchical architecture of these user clusters, through two levels of user collaborations. The low level cooperation is carried out within each cluster while the high level one...
This paper proposes an optimal soft fusion scheme for cooperative spectrum sensing in cognitive radio (CR) network. Multiple cooperative secondary users (SUs) simply serve as relay nodes in the network to provide space diversity for spectrum sensing. An optimal soft fusion scheme of the relayed sensing observations is derived in Neyman-Pearson framework, on the basis of maximizing the deflection coefficient...
In cognitive radio networks, secondary users are allowed to access the under-utilized spectrum and opportunistically transmit whenever no primary signals are detected. So these unlicensed users need to monitor spectrum accurately to detect the presence of the licensed users. In this paper, we exploit a cooperative spectrum sensing between two secondary users to improve the detection performance when...
In cognitive radio networks, secondary users are allowed to access the under-utilized spectrum and opportunistically transmit whenever no primary signals are detected. So these unlicensed users need to monitor spectrum accurately to detect the presence of the licensed users. In this paper, we exploit a cooperative spectrum sensing between two secondary users to improve the detection performance when...
In cognitive radio networks, secondary users are allowed to access the under-utilized spectrum and opportunistically transmit whenever no primary signals are detected. So these unlicensed users need to monitor spectrum accurately to detect the presence of the licensed users. In this paper, we exploit a cooperative spectrum sensing between two secondary users to improve the detection performance when...
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