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With the existing Cognitive Radio Networks development, we present a sub-spectrum sensing scheme based on reputation, which takes advantage in energy consumption, security and fairness from spectrum sensing, data fusion and spectrum allocation by classifying users and spectrum bands reasonably. The analysis shows that the sub-spectrum sensing scheme can save energy and defense SSDF attacks effectively.
This paper proposes a cooperative spectrum sensing algorithm based on distributed fusion strategy and maintained probability of false alarm for cognitive radio. It further introduces a reporting strategy that discusses how cooperative sensing in distributed manner can select among possible candidate nodes in order to reduce bandwidth requirement. We adopted a dynamic distributed architecture for cooperative...
In this paper, a comparison among different cooperative spectrum sensing approaches is provided. It is assumed that the secondary terminals autonomously perform local spectrum sensing and forward their decision to a fusion center. It combines the received data to obtain the global decision, i.e. the presence or the absence of the primary user in the monitored environment. In particular, three fusion...
Spectrum sensing, the cornerstone of the Cognitive Radio paradigm, has been the focus of intensive research, from which the main conclusion was that its performance can be greatly enhanced through the use of cooperative sensing schemes. In this paper we analyze the performance of a cooperative spectrum sensing scheme, by measuring the perceived capacity limits introduced by the use of data fusion...
Spectrum sensing is the key component of cognitive radio technology. However, detection is compromised when a user experiences shadowing or fading effects. Thus, cooperative spectrum sensing is proposed to optimize the sensing performance. We focus on cooperative spectrum sensing in Rayleigh, Ricean and Nakagami fading channels. Centralized detection approaches, different data fusion rules and closed...
Cognitive radio (CR) is a promising technology for future wireless networks. In order to reduce the interference to primary system, CR users have to detect the spectra with low overhead and reliably in sensing slots, which has to occupy part of the available resources. In this paper, we propose a novel spectrum sensing solution that is based on cooperative wireless sensors to detect and collect available...
This paper presents a practical system design approach for cooperative spectrum sensing in cognitive sensor networks. An optimization problem is formulated, where the objective is to choose appropriate number of samples used in local energy calculation and linear combination weights for a global fusion center that together maximize global spectrum detection probability. Depending on the local information...
Dynamic spectrum access (DSA) provides a more flexible spectrum management method versus the current command and control method and promises much higher spectrum utilization efficiency. By this paradigm, secondary users can use vacant spectrum while guaranteeing non-interference to incumbent users. Therefore, spectrum awareness is a required function in DSA, and cooperative spectrum sensing is widely...
In cognitive radios, the first and crucial task is to detect the spectrum holes or the presence of primary user by employing spectrum sensing. However, there exist two kinds of detection errors (i.e., miss-detection error and false-alarm error), which degrade the sensing performance severely. Aiming at minimizing the probability of total detection errors, based on the law of total probability we propose...
Cooperative spectrum sensing enables a Cognitive Radio (CR) networks to reliably detect primary users and avoid causing interference to primary user's communications, and data fusion technique is a key component of it. However, when the number of CR users tends to be large, the bandwidth for reporting their sensing results to the fusion center will be very enormous. In this paper, censoring schemes...
The cooperative operation can improve the sensing performance of cognitive radio networks and reduce the sensing time. Combining multiple cognitive users' local detection results and making accurate judgment is essential to improve cooperative gain. According to uploaded information from cognitive users, hard decision based on the combination of large numbers and soft decision based on the confidence...
In this paper, we propose two novel data fusion schemes for cooperative spectrum sensing in the IEEE 802.22 WRAN system. The data fusion structure is proper for the WRAN system due to its centralized structure, and it can provide reliable sensing performance. The proposed data fusion schemes improve the sensing reliability by utilizing confidence vector of the sensing result. Moreover, application...
Spectrum sensing is an essential mechanism in a cognitive radio network. However, the detection performance will be greatly degraded when few untrusted secondary users exist which can be identified as 'Always Yes' users and 'Always No' users. In this paper, we propose an energy detector with double thresholds combined with revised data fusion rules to find these untrusted users and counteract their...
In this paper, in order to improve the sensing performance which can be severely degraded when the sensing observations are forwarded to fusion center through fading channels, we apply the clustering method into cooperative spectrum sensing by forming all the secondary users into a few clusters and selecting the most favorable user in each cluster to report sensing results to the data fusion center...
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