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Spectrum sensing is the fundamental technology of Cognitive Radio (CR). This paper proposes a novel multiple-antenna based spectrum sensing method with random arrivals of primary users (PUs). The method first constructs a local test statistic for each antenna based on the assumption that the PU is randomly arriving, and then calculates the estimated optimum coefficient for every local test statistic...
In this paper, we propose a sensing nodes selection scheme to achieve energy efficiency in cooperative spectrum sensing for cognitive sensor networks. In cooperative spectrum sensing, nodes send their results to a fusion center (FC) to make the final decision using a fusion rule. While minimize the energy consumption, we also consider improving the detection performance in our approach by maximizing...
The design of measurement matrices is one of the key contents of the compressed sensing (CS) theory. This paper constructs a new dual-structured measurement matrix-unit array + random matrix, by combining the advantages of the random measurement matrices with high recovery probability and the structured measurement matrices of low storage. The experiments show that the reconstruction errors can be...
In the cognitive radios (CR), there is a security issue-spectrum sensing data falsification attacks (SSDF) in the process of cooperation. Some malicious users (MUs) who unwilling to cooperate friendly with other users may launch SSDF attacks by falsifying their local sensing information sent to fusion center (FC) intentionally, result in interfering with the detection and threat the CR networks. In...
In this paper, we propose two compressed sensing methods, signed CASS and iterative signed CASS. The effect of signs of entries in a sparse signal could lead to lower accuracy rate of CASS in low SNR region. Thus, signed CASS is proposed to take the signed of a sparse signal into account. The performance of signed CASS is better than CASS in low SNR region and comparable in high SNR region in terms...
In this paper, cooperative spectrum sensing based censored energy detection is considered in order to improve the accuracy of the decision made about the spectrum availability. Proposed two witnesses fusion rule is used to derive a spectrum sensing final decision. However, the accuracy of this decision cannot be ensured unless the best choice of the two decision thresholds is made such that the probabilities...
Cognitive radio (CR) has emerged as a promising solution to the spectrum scarcity problem, faced by all existing as well as newly proposed wireless services. In cognitive radio network (CRN) spectrum sensing plays the most important role and is considered as an integral part of CR. Among all the spectrum sensing schemes proposed in literature energy detection (ED) is commonly adopted due to its low...
MIMO technology using cooperative spectrum sensing is a useful way to reduce error and improve the system gain. In this paper, this kind of scenario is used to provide better spectrum utilization in rural areas. The proposed system model is described for Nakagami-m fading model. Graphical analysis of detection probability is shown which is obtained from closed form of analytical solution. Simulation...
For the low accuracy of the spectrum sensing of the single node, this paper discusses several popular cooperative spectrum sensing technology. It also proposes a clustering double threshold cooperative spectrum sensing algorithm does two threshold detection based on the double threshold cooperative spectrum sensing algorithm. This algorithm applies or data fusion rule to realize the combination of...
In this paper, we present the performance evaluation of seven spectrum sensing techniques including four single-stage spectrum sensing and three two-stage spectrum sensing for cognitive radio (CR) systems. We focus on the performance evaluation of these techniques under two types of operative schemes including non-cooperative and cooperative of CR systems when the received signal experiences shadowing...
In this work, the energy consumption in the cooperative spectrum sensing is analysed. The analysis also covers the detection quality assessment and the definition of the energy efficiency (EE) metric. It is shown how cooperation among the sensing nodes affects the EE and how relaying of sensing information and node selection influences the detection probability and energy consumption. Simulation results...
This paper focuses on the performance analysis and comparison of three hard decision (HD) spectrum sensing schemes based on non-reconstruction compressed sampling. For HD based cooperative sensing, each secondary user (SU) perform compressed sampling to scan the wide spectrum and reports a local one-bit hard decision to the fusion center (FC). The difference between the proposed schemes and the traditional...
Traditional multi-channel cooperative spectrum sensing (CSS) scheme schedules a group of cognitive users (CU) to sense a particular channel in any given sensing slot, which means that the same sensing sequence pattern is shared by all CUs in the group. Although the sensing accuracy can be improved, the energy consumption will correspondingly increase. In order to reduce the energy consumption without...
In this paper, we propose a dynamic compressive spectrum sensing structure using adaptive compression sequences. The proposed scheme employs appropriate compression sequences depending on the partial information of input signal to enhance signal detection performance. Simulation results verify that the proposed compressive sensing method improves detection performance significantly.
Spectrum sensing is a key technology in Cognitive Radio (CR). It is an important function to be performed by every cognitive radio. Either single or multiple users can take part in spectrum sensing process. This paper presents a multiple thresholds cooperative spectrum sensing algorithm based on signal-to-noise ratio (SNR). In the first phase, the cognitive nodes that satisfy the request of double...
As spectrum sensing detects the presence of primary user (PU) signal, an efficient and reliable spectrum sensing scheme plays a critical role in cognitive radio (CR). In this paper, a novel spectrum sensing method via stochastic resonance (SR) under low signal-to-noise ratio (SNR) is presented. It is shown that the introducing of suitable additional noise can enhance sequential energy detector (SED)...
This paper considers spectrum utilization in cognitive radio (CR) based on both simultaneously adaptive spectrum sensing and transmission at Tx and bit error rate (BER) variation checking at Rx. A novel detecting model is proposed to consider the full-duplex second-user (SU)'s simultaneous sensing and transmitting whether the primary user (PU) is active or not. The probability of detection is provided,...
This paper presents an improved algorithm for mitigating non-line-of-sight (NLOS) error in time-difference-of-arrival (TDOA) positioning applications employing ultra wideband (UWB) signals. The main idea of the algorithm is based on calculating the residuals for the different subsets formed by the reference nodes. The final estimate is a linear summation of the estimate from the different sets weighted...
We consider a collision-sensitive secondary system that intends to opportunistically aggregate and utilize spectrum of a primary system to achieve higher data rates. In such opportunistic spectrum access, secondary transmission can collide with primary transmission. When the secondary system aggregates more channels for data transmission, more frequent collisions may occur, limiting the performance...
This paper proposes two methods for maximizing the lifetime of the cognitive sensor networks by focusing on node selection criteria for spectrum sensing in such networks. We maximize the network lifetime with constraints on the detection performance by determining the sensors, which sense the spectrum. This is a NP-complete problem and cannot be solved by standard methods. Therefore, we relax it to...
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