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Collaborative spectrum sensing is subject to the attack of malicious secondary user(s), which may send false reports. Therefore, it is necessary to detect potential attacker(s) and then exclude the attacker's report for spectrum sensing. Many existing attacker-detection schemes are based on the knowledge of the attacker's strategy and thus apply the Bayesian attacker detection. However, in practical...
In this paper we consider the spectrum sensing performance and requirements for detecting legacy users (LU) in cognitive radios (CR) with periodic scanning. The performance and requirements are studied based on the temporal spectral occupancy statistics of the LU and the sensing signal to noise ratio levels in order to achieve a certain level of detection probability. We model the temporal statistics...
Among variant kinds of spectrum sensing strategies in cognitive radio (CR) broadly studied before, cooperative sensing is the most popular one to detect the primary user accurately. This paper proposes a new cooperative spectrum sensing algorithm in which double threshold energy detection will be employed at local decision and different fusion rules will be used at the fusion center. Theoretic analysis...
According to dramatic increase of wireless communication demand, more spectrum resources are needed to support considerable and various wireless services. However, limited spectrum resources are regulatory assigned to licensed user and no interference needs to occur from unlicensed user to licensed user. In this paper, we propose efficient decision rule in order to get better chance to detect the...
Efficient and reliable spectrum sensing plays a critical role in cognitive radio networks. This paper proposes a cooperative sensing scheme that detects the existence of a common signal component in the signals received by multiple geographically distributed radios. The scheme assumes that signals received by different radios display strong coherence if they have a common source. Detection of this...
In this paper we describe a new cooperating sensing method using double threshold energy detection technique for cognitive radio. Each secondary cognitive user takes a local decision on spectrum occupancy based on two threshold energy detection and uses 1 bit information to convey its decision to the fusion center that collects decisions from all cooperating users who are able to detect presence or...
In this paper, a novel method combining cooperative spectrum sensing with quantized soft decision combining is introduced. In order to allow cognitive radios and cognitive networks to opportunistically use spectrum, it is a prerequisite that the license owner or primary user of the spectrum will not be harmfully interfered and the spectrum band will be vacated as soon as the primary user starts its...
The ultra wide-band cognitive radio networks, in recent years, have attracted the attention of the research due to their challenges concerning the signals detection over multiband. The aim of this paper is to address the ultra wide-band spectrum sensing, i.e. to detect the existence of spectral holes in ultra-wide frequency bands in order to improve the spectrum utilization and minimize the interference...
As an enabling functionality of overlay cognitive radio networks, spectrum sensing needs to reliably detect licensed signal in the band of interest. To achieve reliable sensing, we propose a linear fusion scheme for distributed spectrum sensing to combine the sensing results from multiple spatially distributed cognitive radios. The optimal linear fusion design is formulated into a nonconvex optimization...
Collaborative sensing in cognitive radio networks can significantly improve the probability of detecting the transmission of primary users. In current collaborative sensing schemes, all collaborative secondary users are assumed to be honest. As a consequence, the system is vulnerable to attacks in which malicious secondary users report false detection results. In this paper, we investigate how to...
This paper presents cooperative spectrum sensing in cognitive radio networks under Gaussian fusion channels. The global detection performance is evaluated based on Neyman-Pearson (NP) detection and using equal gain combining (EGC) fusion rule. It is shown that, under a global signal to noise ratio (SNR) constraint, the global detection performance can be maximized by choosing an appropriate local...
We propose sensing protocols for a cognitive dual-hop relay system where transmission from source (S) to destination (D) is accomplished over two phases with the assistance of a relay (R). A naive sensing protocol is to perform sensing at S and R before the respective transmission phase. This leads to substantial loss in spectral efficiency. We propose a sensing protocol where sensing is only performed...
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