On the AUC analysis in cognitive radio networks over &amp;#x03BA;-&amp;#x03BC; fading channel with noise uncertainty

Glehn, Fbio von; Dias, Ugo Silva

doi:10.1109/its.2014.6948024

Cited by 3 publications

(3 citation statements)

References 19 publications

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“…Note that, in both ROC and AUC, the values of P fa and P d are calculated by (7) and (8), in the absence of noise uncertainty, and by (10) and (11), in the otherwise case, considering the α-η-κ-µ fading channel. Several authors have evaluated the performance, numerically or analytically, of the spectral sensing of the ED technique in terms of the AUC, under several types of fading channels [2], [24], [30], [37], [39].…”

Section: Noise Power Uncertaintymentioning

confidence: 99%

“…The spectrum sensing in fading channels has been studied, for instance, in [2], [22]- [29] and some analyzes were performed in the presence of noise uncertainty [30]- [32], using an energy detection scheme. However, studies regarding generalized fading channels which describe scenarios not covered by most common fading distributions are still scares, if not absent, in the literature.…”

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Analysis of Energy Detection with Noise Uncertainty over alpha-eta-kappa-mu Fading Channel

Rennó¹,

Souza²,

Yacoub

2019

JCIS

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One of the main challenges in implementing spectrum sensing techniques concerns the system robustness against noise power uncertainties. In this paper, a performance analysis of energy detection-based cognitive radio system is carried out assuming absence/presence of noise uncertainty for the sensing channel modeled by the α-η-κ-µ fading channel. The detection capacity of spectral sensing over several representative scenarios is analyzed with the theoretical results validated through Monte Carlo simulations. The results show that the performance of the spectral sensing technique is drastically affected by the noise uncertainty as well as by the channel conditions described the fading parameters α, η, κ, and µ. Both the ratio of the power of the dominant component to the power of the scattered and quadrature scattering signal and the clustering imbalance have a smaller impact on the overall performance. The offered results are especially useful in assessing the effect of fading in energy detector-based cognitive radio communication systems. Index Terms-Spectrum sensing, energy detector, α-η-κ-µ fading model, noise uncertainty. I. INTRODUCTION W ITH the exponential increase in demand for mobile communications services, the electromagnetic spectrum of radio frequencies tends to become increasingly congested. Regulatory agencies have used fixed band allocation policy, where the resource is allocated by type of service and users acquire the right to exploit certain bandwidth. This management policy results in underutilization of the resource, since the holder of the right to use a particular band may not do it all time and in all area where the service is offered. Consequently, there is a contradictory scenario in which the resource is at the same time scarce and underutilized, generating a great challenge for future mobile technologies, for example 5G and beyond. In this context, the concept of cognitive radio (CR) [2] arises, which proposes, among other functionalities, the opportunistic use of the spectrum. To perform this task, CR carries out the spectral sensing [2], which consists of

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Section: Noise Power Uncertaintymentioning

confidence: 99%

mentioning

confidence: 99%

Analysis of Energy Detection with Noise Uncertainty over alpha-eta-kappa-mu Fading Channel

Rennó¹,

Souza²,

Yacoub

2019

JCIS

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“…Obviamente, outras métricas de desempenho poderiam ser adotadas tais como a taxa de erro total (total error rate) [10] ou o ganho do sensoriamento (sensing gain) [11]. Diversos autores já avaliaram o desempenho, numérica ou analiticamente, do sensoriamento espectral da técnica de detecção de energia em termos da AUC sob diversos tipos de canais [1], [12]- [15].…”

Section: A(γ)unclassified

Análise de Desempenho do Sensoriamento Espectral por Detector de Energia no Canal α-η-κ-μ

Rennó¹,

Souza²,

Yacoub³

2018

Anais De XXXVI Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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Resumo-Este artigo investiga o desempenho da técnica de sensoriamento espectral pelo método de detecção de energia quando o canal de sensoriamentoé modelado pela distribuição α-η-κ-µ. Os resultados revelam que o desempenho da técnica de sensoriamento espectralé drasticamente afetado pelos parâmetros de desvanecimento α, η, κ e µ. Por outro lado, observa-se que tanto o desbalanceamento de clusterização quanto o de razão entre a potência da componente dominante e a potência do sinal espalhado de fase e quadratura pouco afeta o desempenho global. Todas as formulações foram verificadas por várias simulações de Monte Carlo admitindo um canal de comunicação com desvanecimento α-η-κ-µ. Palavras-Chave-Sensoriamento espectral, detector de energia, modelo de desvanecimento α-η-κ-µ.

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On the double threshold energy detection-based spectrum sensing over κ-µ fading channel with noise uncertainty and diversity

Ribas

Dias

2015

2015 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC)

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On the AUC analysis in cognitive radio networks over κ-μ fading channel with noise uncertainty

Cited by 3 publications

References 19 publications

Analysis of Energy Detection with Noise Uncertainty over alpha-eta-kappa-mu Fading Channel

Analysis of Energy Detection with Noise Uncertainty over alpha-eta-kappa-mu Fading Channel

Análise de Desempenho do Sensoriamento Espectral por Detector de Energia no Canal α-η-κ-μ

On the double threshold energy detection-based spectrum sensing over κ-µ fading channel with noise uncertainty and diversity

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