Spectrum Sensing Performance in Cognitive Radio Networks With Multiple Primary Users

Furtado, António; Irio, Luis; Oliveira, Rodolfo; Bernardo, Luís; Dinis, Rui

doi:10.1109/tvt.2015.2406254

Cited by 29 publications

(17 citation statements)

References 28 publications

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“…The number of the subbands is chosen in the range [2,12] with 2 as its advancing step. The parameters are SNR = 20 dB, = 20, 푖 ∈ {1, 2, 3, 4, 5, 6}, and 푖 ∈ {0.4, 0.7, 0.2, 0.9, 1.2, 1.5} s. As shown in Figure 10, since the number of the bands is directly related to the sparsity order of the signal, with the increase of , the signal is not sparse enough and the success rate of reconstruction for three algorithms is reduced.…”

Section: The Successful Probability Of the Reconstructionmentioning

confidence: 99%

“…Cognitive radio (CR) technology can improve frequency spectrum utilization by detecting and accessing the frequency range that has not been occupied by authorized users (primary users). Therefore, one of the crucial tasks in the cognitive radio system is to constantly monitor the potential spectrum bands and detect the activities of primary users [1,2]. The methods of signal detection on narrow band mainly include energy detection [3], coherent detection [4], and feature detection [5].…”

Section: Introductionmentioning

confidence: 99%

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Adaptive and Blind Wideband Spectrum Sensing Scheme Using Singular Value Decomposition

Bai

Zhao

et al. 2017

Wireless Communications and Mobile Computing

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The Modulated Wideband Converter (MWC) can provide a sub-Nyquist sampling for continuous analog signal and reconstruct the spectral support. However, the existing reconstruction algorithms need a priori information of sparsity order, are not self-adaptive for SNR, and are not fault tolerant enough. These problems affect the reconstruction performance in practical sensing scenarios. In this paper, an Adaptive and Blind Reduced MMV (Multiple Measurement Vectors) Boost (ABRMB) scheme based on singular value decomposition (SVD) for wideband spectrum sensing is proposed. Firstly, the characteristics of singular values of signals are used to estimate the noise intensity and sparsity order, and an adaptive decision threshold can be determined. Secondly, optimal neighborhood selection strategy is employed to improve the fault tolerance in the solver of ABRMB. The experimental results demonstrate that, compared with ReMBo (Reduce MMV and Boost) and RPMB (Randomly Projecting MMV and Boost), ABRMB can significantly improve the success rate of reconstruction without the need to know noise intensity and sparsity order and can achieve high probability of reconstruction with fewer sampling channels, lower minimum sampling rate, and lower approximation error of the potential of spectral support.

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Section: The Successful Probability Of the Reconstructionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive and Blind Wideband Spectrum Sensing Scheme Using Singular Value Decomposition

Bai

Zhao

et al. 2017

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

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“…Spectrum sensing is a key function of CR to avoid interferences with PUs and determine the available spectrum for SUs. The sensing has been the subject of various papers . In spectrum sensing, it is desired to minimize spectrum sensing error (i.e., false alarm and miss detection probabilities) because it reduces collision probability with PU and enhance SUs achievable throughput.…”

Section: Introductionmentioning

confidence: 99%

Coalitional game‐based behavior analysis for spectrum access in cognitive radios

Belghiti

Elmachkour

Berrada

et al. 2016

Wireless Communications

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The core of cognitive radio paradigm is to introduce cognitive devices able to opportunistically access the licensed radio bands. The coexistence of licensed and unlicensed users prescribes an effective spectrum hole-detection and a noninterfering sharing of those frequencies. Collaborative resource allocation and spectrum information exchange are required but often costly in terms of energy and delay. In this paper, each secondary user (SU) can achieve spectrum sensing and data transmission through a coalitional game-based mechanism. SUs are called upon to report their sensing results to the elected coalition head, which properly decides on the channel state and the transmitter in each time slot according to a proposed algorithm. The goal of this paper is to provide a more holistic view on the spectrum and enhance the cognitive system performance through SUs behavior analysis. We formulate the problem as a coalitional game in partition form with non-transferable utility, and we investigate on the impact of both coalition formation and the combining reports costs. We discuss the Nash Equilibrium solution for our coalitional game and propose a distributed strategic learning algorithm to illustrate a concrete case of coalition formation and the SUs competitive and cooperative behaviors inter-coalitions and intra-coalitions. We show through simulations that cognitive network performances, the energy consumption and transmission delay, improve evidently with the proposed scheme.

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Section: Introductionmentioning

confidence: 99%

“…For the sensing process the primary system should remain undisturbed during allocation and usage of the spectrum by the secondary user and also spectrum holes (unused spectrum) should be identified efficiently. These contribute to the chief interests of the spectrum sensing (Furtado et al, 2015).For such a sensing process, there are a variety of detection procedures. Some of which are the transmitter detection processes such as matched filter detection, energy detection and the cyclostationary-feature detection.…”

mentioning

confidence: 99%

Enrichment of Adaptive Threshold in Cognitive Radio

Avila¹,

Thenmozhi²

2015

Asian J. of Scientific Research

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Cognitive radio is the technology that helps overcome the problem of scarcity in a spectrum. It has its application in empowering a secondary user to gain entry into the spectrum. This admittance is because of detection of unoccupied part of the spectrum. It can boost up the spectrum utilization. The sensing technique utilizes the energy detection method, one of the many available. Being the simplest form, it checks the spectrum for empty slots by comparing the energy present with a predefined threshold. The result of this is not satisfactory under noisy conditions. To enrich the detection; the fixed threshold should be made differential i.e., adaptive or other kind of threshold should be employed. In this work with simulation results it has been proved that detection is better with adaptive threshold and further enhanced by the incorporation of multiple energy detectors. Key words: Cognitive radio, energy detection, adaptive threshold INTRODUCTIONWireless communication was one of a kind which brought about a revolution in the field of communication and with its advent came the surge of customers in wireless network services. The wireless spectrum has become a form of inevitable resource because of its limited availability. The reason for this is the escalation in demand of the radio spectrum. It brings constraints on the bandwidth, network generation and number of users. In reality the spectrum is not systematically allocated. It is regardless of the schemes which depict how the spectrum is assigned to the user. These schemes indicate that the spectrum has run out of capacity to accommodate any further user for communication purposes.The solution that jumps this hurdle in the less available spectrum is Cognitive Radio (CR). It is this technology that makes use of detecting scheme called a spectrum sensing characteristic. The major utilization lies in the fact that it grants access to a secondary user to occupy a part of the spectrum which is vacant at the moment. But the primary user still has more privilege than the secondary users. This phenomenon brings about the better allotment of the spectrum among the various users. This process of detection of unused spectrum contributes to the major principle of the cognitive radio. For the sensing process the primary system should remain undisturbed during allocation and usage of the spectrum by the secondary user and also spectrum holes (unused spectrum) should be identified efficiently. These contribute to the chief interests of the spectrum sensing (Furtado et al., 2015).For such a sensing process, there are a variety of detection procedures. Some of which are the transmitter detection processes such as matched filter detection, energy detection and the cyclostationary-feature detection. Energy detection is suitable for pragmatic applications. The

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Spectrum Sensing Performance in Cognitive Radio Networks With Multiple Primary Users

Cited by 29 publications

References 28 publications

Adaptive and Blind Wideband Spectrum Sensing Scheme Using Singular Value Decomposition

Adaptive and Blind Wideband Spectrum Sensing Scheme Using Singular Value Decomposition

Coalitional game‐based behavior analysis for spectrum access in cognitive radios

Enrichment of Adaptive Threshold in Cognitive Radio

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