Spectrum Sensing Architecture and Use Case Study: Distributed Sensing over Rayleigh Fading Channels

Chen SUN; Yohannes D. ALEMSEGED; Ha Nguyen TRAN; Hiroshi HARADA

doi:10.1587/transcom.E92.B.3606

Spectrum Sensing Architecture and Use Case Study: Distributed Sensing over Rayleigh Fading Channels

Chen SUN, Yohannes D. ALEMSEGED, Ha Nguyen TRAN, Hiroshi HARADA

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To realize dynamic spectrum access (DSA), spectrum sensing is performed to detect the presence or absence of primary users (PUs). This paper proposes a sensing architecture. This architecture enables use cases such as DSA with PU detection using a single spectrum sensor and DSA with distributed sensing, such as cooperative sensing, collaborative sensing, and selective sensing. In this paper we focus on distributed sensing. These sensing schemes employ distributed spectrum sensors (DSSs) where each sensor uses energy detection (ED) in Rayleigh fading environment. To theoretically analyze the performance of the three sensing schemes, a closed-form expression for the probability of detection by ED with selective combining (SC) in Rayleigh fading environment is derived. Applying this expression to the PU detection problem, we obtain analytical models of the three sensing schemes. Analysis shows that at 5-dB signal-to-noise ratio (SNR) and with a false alarm rate of 0.004, the probability of detection is increased from 0.02 to 0.3 and 0.4, respectively, by cooperative sensing and collaborative sensing schemes using using three DSSs. Results also show that the selected sensing scheme matches the performance of the collaborative sensing scheme. Moreover, it provides a low false alarm rate.

Publication: IEICE TRANSACTIONS on Communications Vol.E92-B No.12 pp.3606-3615

Publication Date: 2009/12/01

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Online ISSN: 1745-1345

DOI: 10.1587/transcom.E92.B.3606

Type of Manuscript: Special Section PAPER (Special Section on Dynamic Spectrum Access)

Category: Spectrum Sensing

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Chen SUN, Yohannes D. ALEMSEGED, Ha Nguyen TRAN, Hiroshi HARADA, "Spectrum Sensing Architecture and Use Case Study: Distributed Sensing over Rayleigh Fading Channels" in IEICE TRANSACTIONS on Communications, vol. E92-B, no. 12, pp. 3606-3615, December 2009, doi: 10.1587/transcom.E92.B.3606.
Abstract: To realize dynamic spectrum access (DSA), spectrum sensing is performed to detect the presence or absence of primary users (PUs). This paper proposes a sensing architecture. This architecture enables use cases such as DSA with PU detection using a single spectrum sensor and DSA with distributed sensing, such as cooperative sensing, collaborative sensing, and selective sensing. In this paper we focus on distributed sensing. These sensing schemes employ distributed spectrum sensors (DSSs) where each sensor uses energy detection (ED) in Rayleigh fading environment. To theoretically analyze the performance of the three sensing schemes, a closed-form expression for the probability of detection by ED with selective combining (SC) in Rayleigh fading environment is derived. Applying this expression to the PU detection problem, we obtain analytical models of the three sensing schemes. Analysis shows that at 5-dB signal-to-noise ratio (SNR) and with a false alarm rate of 0.004, the probability of detection is increased from 0.02 to 0.3 and 0.4, respectively, by cooperative sensing and collaborative sensing schemes using using three DSSs. Results also show that the selected sensing scheme matches the performance of the collaborative sensing scheme. Moreover, it provides a low false alarm rate.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.3606/_p

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@ARTICLE{e92-b_12_3606,
author={Chen SUN, Yohannes D. ALEMSEGED, Ha Nguyen TRAN, Hiroshi HARADA, },
journal={IEICE TRANSACTIONS on Communications},
title={Spectrum Sensing Architecture and Use Case Study: Distributed Sensing over Rayleigh Fading Channels},
year={2009},
volume={E92-B},
number={12},
pages={3606-3615},
abstract={To realize dynamic spectrum access (DSA), spectrum sensing is performed to detect the presence or absence of primary users (PUs). This paper proposes a sensing architecture. This architecture enables use cases such as DSA with PU detection using a single spectrum sensor and DSA with distributed sensing, such as cooperative sensing, collaborative sensing, and selective sensing. In this paper we focus on distributed sensing. These sensing schemes employ distributed spectrum sensors (DSSs) where each sensor uses energy detection (ED) in Rayleigh fading environment. To theoretically analyze the performance of the three sensing schemes, a closed-form expression for the probability of detection by ED with selective combining (SC) in Rayleigh fading environment is derived. Applying this expression to the PU detection problem, we obtain analytical models of the three sensing schemes. Analysis shows that at 5-dB signal-to-noise ratio (SNR) and with a false alarm rate of 0.004, the probability of detection is increased from 0.02 to 0.3 and 0.4, respectively, by cooperative sensing and collaborative sensing schemes using using three DSSs. Results also show that the selected sensing scheme matches the performance of the collaborative sensing scheme. Moreover, it provides a low false alarm rate.},
keywords={},
doi={10.1587/transcom.E92.B.3606},
ISSN={1745-1345},
month={December},}

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TY - JOUR
TI - Spectrum Sensing Architecture and Use Case Study: Distributed Sensing over Rayleigh Fading Channels
T2 - IEICE TRANSACTIONS on Communications
SP - 3606
EP - 3615
AU - Chen SUN
AU - Yohannes D. ALEMSEGED
AU - Ha Nguyen TRAN
AU - Hiroshi HARADA
PY - 2009
DO - 10.1587/transcom.E92.B.3606
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2009
AB - To realize dynamic spectrum access (DSA), spectrum sensing is performed to detect the presence or absence of primary users (PUs). This paper proposes a sensing architecture. This architecture enables use cases such as DSA with PU detection using a single spectrum sensor and DSA with distributed sensing, such as cooperative sensing, collaborative sensing, and selective sensing. In this paper we focus on distributed sensing. These sensing schemes employ distributed spectrum sensors (DSSs) where each sensor uses energy detection (ED) in Rayleigh fading environment. To theoretically analyze the performance of the three sensing schemes, a closed-form expression for the probability of detection by ED with selective combining (SC) in Rayleigh fading environment is derived. Applying this expression to the PU detection problem, we obtain analytical models of the three sensing schemes. Analysis shows that at 5-dB signal-to-noise ratio (SNR) and with a false alarm rate of 0.004, the probability of detection is increased from 0.02 to 0.3 and 0.4, respectively, by cooperative sensing and collaborative sensing schemes using using three DSSs. Results also show that the selected sensing scheme matches the performance of the collaborative sensing scheme. Moreover, it provides a low false alarm rate.
ER -