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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 cognitive radio networks, a critical issue is to exploit the spectrum holes based on spectrum sensing while avoiding interference to the primary users. However, the reliability of sensing is uncertain. In order to increase the probability to access the channel, cognitive users may report false detection results and become malicious users (MUs), which could significantly degrade the performance...
Cognitive radio is an effective technology to solve the increasing spectrum demands for wireless application by reducing the spectrum based on the sensing results. However, the reliability of each secondary user (SU) is uncertain. In order to improve the chance to access the idle spectrum, some SUs send false sensing results and become malicious users (MUs). Our objective is to design a novel algorithm...
Collaborative sensing is an available technology to increase access opportunity for unused spectrum and avoid interference to the primary users in cognitive radio networks. Due to the complexity of wireless environment and the primary user's location is unknown, the sensing performance will be affected by many unfavorable factors such as multipath fading, shadowing, and so on. Especially, some secondary...
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...
In this paper, a novel method using bipartite graph matching is proposed to allocate the spectrum in cognitive networks, where users cooperatively optimize spectrum allocation to get the maximal system utility while avoiding interference with its neighbors. A feasible method for distributed cognitive networks is presented; experimental results show that proposed algorithm dramatically maximizes spectrum...
In cognitive radio networks, secondary users can cooperate based on their own sensing observations so as to detect the primary user more accurately. However, since of location disadvantage, multipath fading or shadowing, sensing contribution of some secondary users may be untrustworthy, which are termed malfunction nodes in this paper. To mitigate this problem we propose a contribution based cooperative...
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...
Cognitive radio (CR) is a revolution in radio technology. Cognitive radio networks (CRN) is featured by the dynamic spectrum sharing of the secondary nodes coexisting with the primary nodes. Secondary nodes in cognitive radio networks (CRN) need the ability to work on different frequency bands and intelligently adjust their configuration to changes in the communication environment. It is a complicated...
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...
Conflict free spectrum allocation for secondary users in cognitive networks is a challenging problem, since the accessible spectrum is shared among users. The problem becomes to be especially difficult when it is wanted to get the maximum utility of the system considering access fairness among users. In this paper, a novel method using bipartite graph matching is proposed to approach this target,...
In this letter, mutual interference considered power and spectrum allocation, bit loading is considered in OFDM-based cognitive networks, which is modeled as a multiuser water-filling technique maximizing the capacity of secondary system.
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...
This paper investigates the optimal weighting scheme for cooperative spectrum sensing in cognitive radio networks, under the constraint of equal probabilities of false alarm and miss detection. The derived optimal weights are determined by individual signal-to-noise-ratio (SNR) of each cooperative sensing node. However, to obtain the precise realistic measurement of each node's SNR is somehow impractical...
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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