Energy Detection Limits Under Log-Normal Approximated Noise Uncertainty

Jouini, Wassim

doi:10.1109/lsp.2011.2155649

Cited by 36 publications

(23 citation statements)

References 5 publications

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“…Thus this SNR corresponds to the SNR wall, and is computed by equating (6) to 0 and (7) to 1, and solving numerically for a very large number of samples (10 7 samples). The numerically computed SNR wall value matches exactly the SNR wall calculated analytically given by (14). From Fig.…”

Section: Numerical Results and Discussionsupporting

confidence: 81%

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SNR wall for generalized energy detection under noise uncertainty in cognitive radio

Kalamkar

Banerjee

Gupta

2013

2013 19th Asia-Pacific Conference on Communications (APCC)

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Energy detection (ED) is a popular spectrum sensing technique in cognitive radio to detect the primary user. But the detection performance of ED deteriorates in the presence of noise uncertainty and exhibits associated SNR wall phenomenon. In this paper, the generalized energy detector (GED) is investigated, where the squaring operation of amplitude of received samples in conventional energy detector (CED) is replaced by an arbitrary positive operation p. Our aim is to study the effect of noise uncertainty on the detection performance of GED. We consider different distributions of noise uncertainty. Initially, uniform distribution of noise uncertainty is considered and an expression of the SNR wall for the same is derived. It is shown that the SNR wall for uniformly distributed noise uncertainty is independent of p. The study of the detection performance of GED is further extended for log-normally distributed noise uncertainty, where the SNR wall is calculated numerically.

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Section: Numerical Results and Discussionsupporting

confidence: 81%

“…In [12], the detection performance for cooperative spectrum sensing is presented. In [14], the detection performance of CED under log-normal approximated noise uncertainty is considered. Noise uncertainty model is considered in continuous and discrete forms in [15].…”

Section: Introductionmentioning

confidence: 99%

SNR wall for generalized energy detection under noise uncertainty in cognitive radio

Kalamkar

Banerjee

Gupta

2013

2013 19th Asia-Pacific Conference on Communications (APCC)

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“…However, the uncertainty of noise power imposes fundamental limitations on the performance of the energy detector [24][25][26]. Below an SNR threshold, a reliable detection cannot be achieved by increasing the sensing duration.…”

Section: Energy Detectormentioning

confidence: 99%

Ten years of research in spectrum sensing and sharing in cognitive radio

Zhou

Onunkwo

et al. 2012

J Wireless Com Network

217

117

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Cognitive radio (CR) can successfully deal with the growing demand and scarcity of the wireless spectrum. To exploit limited spectrum efficiently, CR technology allows unlicensed users to access licensed spectrum bands. Since licensed users have priorities to use the bands, the unlicensed users need to continuously monitor the licensed users' activities to avoid interference and collisions. How to obtain reliable results of the licensed users' activities is the main task for spectrum sensing. Based on the sensing results, the unlicensed users should adapt their transmit powers and access strategies to protect the licensed communications. The requirement naturally presents challenges to the implementation of CR. In this article, we provide an overview of recent research achievements of including spectrum sensing, sharing techniques and the applications of CR systems.

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“…In addition, the ED does not require any prior knowledge about the primary user's signal. However, its detection efficiency degrades heavily under low SNR and noise uncertainty conditions [17][18][19], which can restrict its efficiency for cognitive radio. Indeed there exists an SNR wall beyond which energy detection is theoretically impossible.…”

Section: Spectrum Sensing Backgroundmentioning

confidence: 99%

Blind spectrum sensing using symmetry property of cyclic autocorrelation function: from theory to practice

Safatly

Aziz

Nafkha

et al. 2014

J Wireless Com Network

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Spectrum sensing has been identified as the key step of the cognition cycle and the most important function for the establishment of cognitive radio. In this paper, a blind cyclostationary feature detector, which is based on the symmetry property of cyclic autocorrelation function (SP-CAF), is implemented and tested using universal software radio peripheral platform and GNU Radio open-source software development toolkit. Performance of the SP-CAF is compared to the classical energy detector via various tests conducted in real scenarios where both detection algorithms are employed to blindly sense the spectrum for opportunistic access. This study shows that the blind cyclostationary feature detector outperforms the classical energy detector while guaranteeing acceptable complexity and low sensing time. Moreover, different experimental results indicate that the blind sensing detector can achieve high detection probability at a low false alarm probability under real channel conditions and low signal-to-noise ratio.

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Energy Detection Limits Under Log-Normal Approximated Noise Uncertainty

Cited by 36 publications

References 5 publications

SNR wall for generalized energy detection under noise uncertainty in cognitive radio

SNR wall for generalized energy detection under noise uncertainty in cognitive radio

Ten years of research in spectrum sensing and sharing in cognitive radio

Blind spectrum sensing using symmetry property of cyclic autocorrelation function: from theory to practice

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