Architecture and Approach for Obtaining Spectrum Availability Information

Matinmikko, Marja; Rauma, Tapio; Mustonen, Miia; Ser, Javier Del

doi:10.1109/vetecs.2011.5956216

Cited by 7 publications

(6 citation statements)

References 9 publications

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“…However, it is sensitive to noise uncertainty and performs poorly in the low signal-to-noise ratio (SNR) region. In [4], a low-complexity heuristic decision-making system for the selection of methods was proposed aimed at detecting spectrum availability. An optimization approach for multi-band linear collaborative spectrum sensing based on harmony search heuristics was provided by [5].…”

Section: Introductionmentioning

confidence: 99%

Double-Threshold Cooperative Spectrum Sensing Algorithm Based on Sevcik Fractal Dimension

et al. 2017

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Spectrum sensing is of great importance in the cognitive radio (CR) networks. Compared with individual spectrum sensing, cooperative spectrum sensing (CSS) has been shown to greatly improve the accuracy of the detection. However, the existing CSS algorithms are sensitive to noise uncertainty and are inaccurate in low signal-to-noise ratio (SNR) detection. To address this, we propose a double-threshold CSS algorithm based on Sevcik fractal dimension (SFD) in this paper. The main idea of the presented scheme is to sense the presence of primary users in the local spectrum sensing by analyzing different characteristics of the SFD between signals and noise. Considering the stochastic fluctuation characteristic of the noise SFD in a certain range, we adopt the double-threshold method in the multi-cognitive user CSS so as to improve the detection accuracy, where thresholds are set according to the maximum and minimum values of the noise SFD. After obtaining the detection results, the cognitive user sends local detection results to the fusion center for reliability fusion. Simulation results demonstrate that the proposed method is insensitive to noise uncertainty. Simulations also show that the algorithm presented in this paper can achieve high detection performance at the low SNR region.

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Section: Introductionmentioning

confidence: 99%

Double-Threshold Cooperative Spectrum Sensing Algorithm Based on Sevcik Fractal Dimension

et al. 2017

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“…Various aspects and classes of sensing algorithms are presented in [8]. In [7] an architecture and an approach for finding spectrum holes have been proposed. In particular, [7] presents a framework for selecting among various spectrum monitoring methods, taking into account the operational environment, the underlying policies and the sensing methods capabilities.…”

Section: Introductionmentioning

confidence: 99%

“…In [7] an architecture and an approach for finding spectrum holes have been proposed. In particular, [7] presents a framework for selecting among various spectrum monitoring methods, taking into account the operational environment, the underlying policies and the sensing methods capabilities. However, the selection criteria in [7] are vague and do not cover some special cases.…”

Section: Introductionmentioning

confidence: 99%

“…In particular, [7] presents a framework for selecting among various spectrum monitoring methods, taking into account the operational environment, the underlying policies and the sensing methods capabilities. However, the selection criteria in [7] are vague and do not cover some special cases. For example, the cyclostationary detector is more reliable than the energy detector for certain SNR and for given noise estimation performance, but the energy detector could be more reliable than the cyclostationary detector when the noise is accurately estimated.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Architectural Framework and Configuration Scheme for Spectrum Sensing

Bagayoko¹,

Panaitopol²,

Delahaye³

et al. 2012

Proceedings of the 7th International Conference on Cognitive Radio Oriented Wireless Networks

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This paper proposes a novel architecture and configuration scheme for single-node spectrum sensing. It is assumed that the sensing node may use more than one sensing algorithms. The proposed sensing architecture allows a dynamic algorithm selection that depends on the sensing configuration parameters, and it includes a regulatory conformance checking. As a result, local sensing is enhanced by dynamic selection of the most reliable sensing algorithm, while a regulatory conformance indicator shows whether the current sensing result should be assumed reliable or not. Such information could be used further by a cooperative sensing system for efficient data fusion and decision making.

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“…Although the ED is a simpler mechanism fails to address the detection at lower signal-to-noise-ratios (SNR). In [4], the authors proposed a new framework for detecting the spectrum availability data and adopted intelligent-decision making method for sensing spectrum.…”

mentioning

confidence: 99%

Performance Analysis of Spectrum Sensing in Cognitive Radio under Low SNR and Noise Floor

Venkatapathi¹,

Khan²,

Rao³

2019

IJEAT

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Cognitive radio (CR) is a new technology that is proposed to improve spectrum efficiency by allowing unlicensed secondary users to access the licensed frequency bands without interfering with the licensed primary users. As there are several methods available for spectrum sensing, the energy detection (ED) is more popular due to its simple implementation. However, ED is more vulnerable to the noise uncertainty so for that reason, we present a robust detector using signal to noise ratio (SNR) with dynamic threshold energy detection technique is combined with the kernel principal component analysis (KPCA) in Cognitive Radio Networks (CRN). The primary purpose of kernel function is to ensure that its dependency relies on inner-product of data without the feature space data requirement. In this paper, with the aid of kernel function the spectrum sensing with the leading eigenvector approach is modified to a feature space of higher dimensionality.By introducing of efficient detection system with dynamic threshold facility helps the better detection levels even low SNR values with quite a lot of noise uncertainty levels. The simulation results of the proposed system reveal that KPCA outperforms with that of traditional PCA in terms of false alarm rate, detector performance when tested under various uncertainties for orthogonal frequency division multiplexing signal.

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Architecture and Approach for Obtaining Spectrum Availability Information

Cited by 7 publications

References 9 publications

Double-Threshold Cooperative Spectrum Sensing Algorithm Based on Sevcik Fractal Dimension

Double-Threshold Cooperative Spectrum Sensing Algorithm Based on Sevcik Fractal Dimension

A Novel Architectural Framework and Configuration Scheme for Spectrum Sensing

Performance Analysis of Spectrum Sensing in Cognitive Radio under Low SNR and Noise Floor

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