Performance analysis of spectrum sensing with multiple status changes in primary user traffic

Liang Tang; Yunfei Chen; Evor L. Hines; Mohamed-Slim Alouini

doi:10.1109/LCOMM.2012.041112.120507

Performance analysis of spectrum sensing with multiple status changes in primary user traffic

Liang Tang, Yunfei Chen, Evor L. Hines, Mohamed-Slim Alouini

Research output: Contribution to journal › Article › peer-review

28 Scopus citations

Abstract

In this letter, the impact of primary user traffic with multiple status changes on the spectrum sensing performance is analyzed. Closed-form expressions for the probabilities of false alarm and detection are derived. Numerical results show that the multiple status changes of the primary user cause considerable degradation in the sensing performance. This degradation depends on the number of changes, the primary user traffic model, the primary user traffic intensity and the signal-to-noise ratio of the received signal. Numerical results also show that the amount of degradation decreases when the number of changes increases, and converges to a minimum sensing performance due to the limited sensing period and primary holding time. © 2012 IEEE.

Original language	English (US)
Pages (from-to)	874-877
Number of pages	4
Journal	IEEE Communications Letters
Volume	16
Issue number	6
DOIs	https://doi.org/10.1109/LCOMM.2012.041112.120507
State	Published - Jun 2012

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This work was supported in part by EPSRC First Grant and in part by Qatar National Research Fund.

ASJC Scopus subject areas

Modeling and Simulation
Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/LCOMM.2012.041112.120507

Cite this

@article{aa72feb6ba164ee6943d4b0e35065ce2,

title = "Performance analysis of spectrum sensing with multiple status changes in primary user traffic",

abstract = "In this letter, the impact of primary user traffic with multiple status changes on the spectrum sensing performance is analyzed. Closed-form expressions for the probabilities of false alarm and detection are derived. Numerical results show that the multiple status changes of the primary user cause considerable degradation in the sensing performance. This degradation depends on the number of changes, the primary user traffic model, the primary user traffic intensity and the signal-to-noise ratio of the received signal. Numerical results also show that the amount of degradation decreases when the number of changes increases, and converges to a minimum sensing performance due to the limited sensing period and primary holding time. {\textcopyright} 2012 IEEE.",

author = "Liang Tang and Yunfei Chen and Hines, {Evor L.} and Mohamed-Slim Alouini",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: This work was supported in part by EPSRC First Grant and in part by Qatar National Research Fund.",

year = "2012",

month = jun,

doi = "10.1109/LCOMM.2012.041112.120507",

language = "English (US)",

volume = "16",

pages = "874--877",

journal = "IEEE Communications Letters",

issn = "1089-7798",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "6",

}

TY - JOUR

T1 - Performance analysis of spectrum sensing with multiple status changes in primary user traffic

AU - Tang, Liang

AU - Chen, Yunfei

AU - Hines, Evor L.

AU - Alouini, Mohamed-Slim

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: This work was supported in part by EPSRC First Grant and in part by Qatar National Research Fund.

PY - 2012/6

Y1 - 2012/6

N2 - In this letter, the impact of primary user traffic with multiple status changes on the spectrum sensing performance is analyzed. Closed-form expressions for the probabilities of false alarm and detection are derived. Numerical results show that the multiple status changes of the primary user cause considerable degradation in the sensing performance. This degradation depends on the number of changes, the primary user traffic model, the primary user traffic intensity and the signal-to-noise ratio of the received signal. Numerical results also show that the amount of degradation decreases when the number of changes increases, and converges to a minimum sensing performance due to the limited sensing period and primary holding time. © 2012 IEEE.

AB - In this letter, the impact of primary user traffic with multiple status changes on the spectrum sensing performance is analyzed. Closed-form expressions for the probabilities of false alarm and detection are derived. Numerical results show that the multiple status changes of the primary user cause considerable degradation in the sensing performance. This degradation depends on the number of changes, the primary user traffic model, the primary user traffic intensity and the signal-to-noise ratio of the received signal. Numerical results also show that the amount of degradation decreases when the number of changes increases, and converges to a minimum sensing performance due to the limited sensing period and primary holding time. © 2012 IEEE.

UR - http://hdl.handle.net/10754/561407

UR - http://arxiv.org/abs/arXiv:1204.2428v1

UR - http://www.scopus.com/inward/record.url?scp=84862549198&partnerID=8YFLogxK

U2 - 10.1109/LCOMM.2012.041112.120507

DO - 10.1109/LCOMM.2012.041112.120507

M3 - Article

SN - 1089-7798

VL - 16

SP - 874

EP - 877

JO - IEEE Communications Letters

JF - IEEE Communications Letters

IS - 6

ER -

Performance analysis of spectrum sensing with multiple status changes in primary user traffic

Abstract

Bibliographical note

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this