2010
DOI: 10.1109/twc.2010.03.091085
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Analysis of area under the ROC curve of energy detection

Abstract: Abstract-A simple figure of merit to describe the performance of an energy detector is desirable. The area under the receiver operating characteristic (ROC) curve, denoted (AUC), is such a measure, which varies between , and it increases to one as the detector performance improves. However, in the wireless literature, the AUC measure has gone unnoticed. In this paper, to address this gap, we comprehensively analyze the AUC of an energy detector with nodiversity reception and with several popular diversity sche… Show more

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Cited by 144 publications
(112 citation statements)
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References 28 publications
(50 reference statements)
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“…As described in [3] the probability density function (PDF) of follows a central chi-square distribution with degrees of freedom (DoF) under , or a noncentral chi-square distribution with DoF and a noncentrality parameter 2γ under .The test statistic, , is compared with a predefined threshold value . Hence, the probabilities of detection, and false alarm can be written as [5,10]- (5) (6) Where , , and…”
Section: Figure 1 Co-existance Scenario Of Fap and Macrocell In Ourmentioning
confidence: 99%
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“…As described in [3] the probability density function (PDF) of follows a central chi-square distribution with degrees of freedom (DoF) under , or a noncentral chi-square distribution with DoF and a noncentrality parameter 2γ under .The test statistic, , is compared with a predefined threshold value . Hence, the probabilities of detection, and false alarm can be written as [5,10]- (5) (6) Where , , and…”
Section: Figure 1 Co-existance Scenario Of Fap and Macrocell In Ourmentioning
confidence: 99%
“…Further, missed detection probability can be calculated as [10]. In general, a frame made up of a sensing period and a transmission period.…”
Section: Figure 1 Co-existance Scenario Of Fap and Macrocell In Ourmentioning
confidence: 99%
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“…The performance of the detector is characterized by using the pair (P , P ) (Atapattu, Tellambura, & Jiang, 2010).…”
Section: Mathematical Formulation Of Spectrum Sensingmentioning
confidence: 99%
“…Nevertheless, for small vectors sizes, 50 and 100 are better than 250 threads per block. However, the maximum processed vector size is reduced, due to the limitation of maximum blocks number on calculation Grid, according to equation (6) _ _ = * (6) Furthermore, according to the Neyman Pearson criterion (Atapattu, Tellambura, & Jiang, 2010), maximizing the captured samples number improves the energy detector performance. According to the simulation sample proposed by (A.…”
Section: Analysis and Comparisons Of Performances Ed Implementationmentioning
confidence: 99%