Improving Spectrum Sensing Performance by Exploiting Multiuser Diversity

Do, Tuan; Mark, Brian L.

doi:10.5772/31180

Cited by 12 publications

(8 citation statements)

References 30 publications

(44 reference statements)

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“…ROC curve shows the relationship between probability of false alarm and probability of detection throughout [21] of a SS method under several SNR values for proposed scheme. In the figure 5, for proposed scheme, considered P f = 0.1, and SNR = -10 dB, the probability of detection is in the order of 0.9, this is essential for the SS according to IEEE 802.22 [22,23].…”

Section: Numerical Results and Analysismentioning

confidence: 99%

Enriched the Spectrum Sensing Performance of Estimated SNR based Detector in Cognitive Radio Networks

Bagwari¹,

Tomar²

2015

IJHIT

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Section: Numerical Results and Analysismentioning

confidence: 99%

Enriched the Spectrum Sensing Performance of Estimated SNR based Detector in Cognitive Radio Networks

Bagwari¹,

Tomar²

2015

IJHIT

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“…ROC curve shows the relationship between probability of false alarm and probability of detection alarm [22] of a SS method under several SNR values for propose scheme. For Pf = 0.1 and SNR = -10 dB, probability of detection is in the order of 0.9, which is the SS requirement of IEEE 802.22 [23], [24].…”

Section: Numerical Results and Analysismentioning

confidence: 99%

“…The probability of detection is maximum for k = 10, it's implies that for N = 1000 and P f = 0.1, only ten CR users are required for deciding the presence of the PU by using the two-stage spectrum sensing scheme. When k = 10, Pf = 0.1 and SNR = -17.5 dB approximately, the proposed SS model can achieve probability of detection value 0.9, which is the SS requirement of IEEE 802.22 [23], [24].…”

Section: T Novel Detector = T Ed + T Ed_adtmentioning

confidence: 99%

Novel Spectrum detector for IEEE 802.22 Wireless Regional Area Network

Bagwari¹,

Kanti²,

Tomar³

2015

IJSDA

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“…ROC curves exhibit the relationship between sensitivity (probability of detection alarm) and specificity (probability of false alarm) [19] of a spectrum sensing method under different SNR values for propose scheme. For = 0.1, = 2, and SNR = −10 dB, probability of detection is in the order of 0.9, which is the spectrum sensing requirement of IEEE 802.22 [20,21].…”

Section: Numerical Results and Analysismentioning

confidence: 99%

Two-Stage Detectors with Multiple Energy Detectors and Adaptive Double Threshold in Cognitive Radio Networks

Bagwari

Tomar

2013

International Journal of Distributed Sensor Networks

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Cognitive radio (CR) is a regulated technique for opportunistic access of idle resources. In CR, spectrum sensing is one of the key functionalities. It is used to sense the unused spectrum in an opportunistic manner. In this paper, we have proposed two-stage detectors for spectrum sensing in cognitive radio networks (CRN). The first stage consists of multiple energy detectors (MED), where each energy detector (ED) is having single antenna with fixed threshold (MED FT) for making a local binary decision, and if required, the second stage comprised of ED with adaptive double threshold (ED ADT) is invoked. The detection performance of the proposed scheme is compared with cyclostationary-based sensing method and adaptive spectrum sensing scheme. Numerical results show that the proposed scheme improves detection performance and outperforms the cyclostationary-based sensing method and adaptive spectrum sensing by 12.3% and 14.4% at signal to noise ratio (SNR) setting of as low as −8 dB, respectively. Performance was also measured in terms of sensing time. It is shown that the proposed scheme yields smaller sensing time than cyclostationary detection and adaptive spectrum sensing scheme in the order of 4.3 ms and 0.1 ms at −20 dB SNR, respectively.

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Improving Spectrum Sensing Performance by Exploiting Multiuser Diversity

Cited by 12 publications

References 30 publications

Enriched the Spectrum Sensing Performance of Estimated SNR based Detector in Cognitive Radio Networks

Enriched the Spectrum Sensing Performance of Estimated SNR based Detector in Cognitive Radio Networks

Novel Spectrum detector for IEEE 802.22 Wireless Regional Area Network

Two-Stage Detectors with Multiple Energy Detectors and Adaptive Double Threshold in Cognitive Radio Networks

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