Spectrum sensing schemes for dynamic primary user signal under AWGN and rayleigh fading channels

Wasan Kadhim Saad, Mahamod Ismail, Rosdiadee Nordin, Ayman A. El-Saleh

Research output: Contribution to journalArticle

Abstract

In this paper, the performance of spectrum sensing is analysed while taking into account the effect of Primary User (PU) activities. A PU work period is defined and formalized to practically realize the PU activities when dynamically changing between ON and OFF transmission scenarios. In reality, it is important to consider such work period as the PU will only active for certain fraction of the total frame time. A new sensing model, namely, Constant False Alarm Rate-Dynamic Energy Detection (CFAR-DED) is introduced for dynamic-PU signal state scenario. The CRAF-DED model is then further categorized into three scenarios; Dynamic Threshold (DT), Two-Stage (TS), and Adaptive Two-Stage (ATS) detection algorithms. Closed-form expressions for the average detection probability have been mathematically derived when the PU is partially present within the observed period under AWGN and Rayleigh fading environments. Simulation results show that the proposed algorithms provide detection improvement as compared with conventional energy detection. In particular, ATS represents the most effective sensing algorithm of the CFAR-DED model. In addition, the results show that the probability of detection degrades severely when the PU work period and sensing time are reduced regardless of the method of detection used. Furthermore, it has been found that the detection performance of the proposed algorithms under Rayleigh fading with low-SNR is significantly deteriorated.

Original languageEnglish
Pages (from-to)231-241
Number of pages11
JournalJournal of Communications
Volume11
Issue number3
DOIs
Publication statusPublished - 1 Mar 2016

Fingerprint

Rayleigh fading
Fading channels

Keywords

  • AWGN channel
  • Constant False Alarm Rate (CFAR)
  • Dynamic Energy Detection (DED)
  • Dynamic threshold
  • Rayleigh fading channel
  • Work period

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Spectrum sensing schemes for dynamic primary user signal under AWGN and rayleigh fading channels. / Saad, Wasan Kadhim; Ismail, Mahamod; Nordin, Rosdiadee; El-Saleh, Ayman A.

In: Journal of Communications, Vol. 11, No. 3, 01.03.2016, p. 231-241.

Research output: Contribution to journalArticle

Saad, Wasan Kadhim ; Ismail, Mahamod ; Nordin, Rosdiadee ; El-Saleh, Ayman A. / Spectrum sensing schemes for dynamic primary user signal under AWGN and rayleigh fading channels. In: Journal of Communications. 2016 ; Vol. 11, No. 3. pp. 231-241.
@article{670e71e88e934da590215cd4105754e9,
title = "Spectrum sensing schemes for dynamic primary user signal under AWGN and rayleigh fading channels",
abstract = "In this paper, the performance of spectrum sensing is analysed while taking into account the effect of Primary User (PU) activities. A PU work period is defined and formalized to practically realize the PU activities when dynamically changing between ON and OFF transmission scenarios. In reality, it is important to consider such work period as the PU will only active for certain fraction of the total frame time. A new sensing model, namely, Constant False Alarm Rate-Dynamic Energy Detection (CFAR-DED) is introduced for dynamic-PU signal state scenario. The CRAF-DED model is then further categorized into three scenarios; Dynamic Threshold (DT), Two-Stage (TS), and Adaptive Two-Stage (ATS) detection algorithms. Closed-form expressions for the average detection probability have been mathematically derived when the PU is partially present within the observed period under AWGN and Rayleigh fading environments. Simulation results show that the proposed algorithms provide detection improvement as compared with conventional energy detection. In particular, ATS represents the most effective sensing algorithm of the CFAR-DED model. In addition, the results show that the probability of detection degrades severely when the PU work period and sensing time are reduced regardless of the method of detection used. Furthermore, it has been found that the detection performance of the proposed algorithms under Rayleigh fading with low-SNR is significantly deteriorated.",
keywords = "AWGN channel, Constant False Alarm Rate (CFAR), Dynamic Energy Detection (DED), Dynamic threshold, Rayleigh fading channel, Work period",
author = "Saad, {Wasan Kadhim} and Mahamod Ismail and Rosdiadee Nordin and El-Saleh, {Ayman A.}",
year = "2016",
month = "3",
day = "1",
doi = "10.12720/jcm.11.3.231-242",
language = "English",
volume = "11",
pages = "231--241",
journal = "Journal of Communications",
issn = "1796-2021",
publisher = "Engineering and Technology Publishing",
number = "3",

}

TY - JOUR

T1 - Spectrum sensing schemes for dynamic primary user signal under AWGN and rayleigh fading channels

AU - Saad, Wasan Kadhim

AU - Ismail, Mahamod

AU - Nordin, Rosdiadee

AU - El-Saleh, Ayman A.

PY - 2016/3/1

Y1 - 2016/3/1

N2 - In this paper, the performance of spectrum sensing is analysed while taking into account the effect of Primary User (PU) activities. A PU work period is defined and formalized to practically realize the PU activities when dynamically changing between ON and OFF transmission scenarios. In reality, it is important to consider such work period as the PU will only active for certain fraction of the total frame time. A new sensing model, namely, Constant False Alarm Rate-Dynamic Energy Detection (CFAR-DED) is introduced for dynamic-PU signal state scenario. The CRAF-DED model is then further categorized into three scenarios; Dynamic Threshold (DT), Two-Stage (TS), and Adaptive Two-Stage (ATS) detection algorithms. Closed-form expressions for the average detection probability have been mathematically derived when the PU is partially present within the observed period under AWGN and Rayleigh fading environments. Simulation results show that the proposed algorithms provide detection improvement as compared with conventional energy detection. In particular, ATS represents the most effective sensing algorithm of the CFAR-DED model. In addition, the results show that the probability of detection degrades severely when the PU work period and sensing time are reduced regardless of the method of detection used. Furthermore, it has been found that the detection performance of the proposed algorithms under Rayleigh fading with low-SNR is significantly deteriorated.

AB - In this paper, the performance of spectrum sensing is analysed while taking into account the effect of Primary User (PU) activities. A PU work period is defined and formalized to practically realize the PU activities when dynamically changing between ON and OFF transmission scenarios. In reality, it is important to consider such work period as the PU will only active for certain fraction of the total frame time. A new sensing model, namely, Constant False Alarm Rate-Dynamic Energy Detection (CFAR-DED) is introduced for dynamic-PU signal state scenario. The CRAF-DED model is then further categorized into three scenarios; Dynamic Threshold (DT), Two-Stage (TS), and Adaptive Two-Stage (ATS) detection algorithms. Closed-form expressions for the average detection probability have been mathematically derived when the PU is partially present within the observed period under AWGN and Rayleigh fading environments. Simulation results show that the proposed algorithms provide detection improvement as compared with conventional energy detection. In particular, ATS represents the most effective sensing algorithm of the CFAR-DED model. In addition, the results show that the probability of detection degrades severely when the PU work period and sensing time are reduced regardless of the method of detection used. Furthermore, it has been found that the detection performance of the proposed algorithms under Rayleigh fading with low-SNR is significantly deteriorated.

KW - AWGN channel

KW - Constant False Alarm Rate (CFAR)

KW - Dynamic Energy Detection (DED)

KW - Dynamic threshold

KW - Rayleigh fading channel

KW - Work period

UR - http://www.scopus.com/inward/record.url?scp=84961254461&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84961254461&partnerID=8YFLogxK

U2 - 10.12720/jcm.11.3.231-242

DO - 10.12720/jcm.11.3.231-242

M3 - Article

VL - 11

SP - 231

EP - 241

JO - Journal of Communications

JF - Journal of Communications

SN - 1796-2021

IS - 3

ER -