Performance Analysis of a Cognitive Radio Network with Imperfect Spectrum Sensing

Osama SALAMEH; Koen DE TURCK; Dieter FIEMS; Herwig BRUNEEL; Sabine WITTEVRONGEL

doi:10.1587/transcom.2017EBP3037

Performance Analysis of a Cognitive Radio Network with Imperfect Spectrum Sensing

Osama SALAMEH, Koen DE TURCK, Dieter FIEMS, Herwig BRUNEEL, Sabine WITTEVRONGEL

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In Cognitive Radio Networks (CRNs), spectrum sensing is performed by secondary (unlicensed) users to utilize transmission opportunities, so-called white spaces or spectrum holes, in the primary (licensed) frequency bands. Secondary users (SUs) perform sensing upon arrival to find an idle channel for transmission as well as during transmission to avoid interfering with primary users (PUs). In practice, spectrum sensing is not perfect and sensing errors including false alarms and misdetections are inevitable. In this paper, we develop a continuous-time Markov chain model to study the effect of false alarms and misdetections of SUs on several performance measures including the collision rate between PUs and SUs, the throughput of SUs and the SU delay in a CRN. Numerical results indicate that sensing errors can have a high impact on the performance measures.

Publication: IEICE TRANSACTIONS on Communications Vol.E101-B No.1 pp.213-222

Publication Date: 2018/01/01

Publicized: 2017/06/22

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2017EBP3037

Type of Manuscript: PAPER

Category: Wireless Communication Technologies

Authors

Osama SALAMEH
  Ghent University,Arab American University
Koen DE TURCK
  CentraleSupélec
Dieter FIEMS
  Ghent University
Herwig BRUNEEL
  Ghent University
Sabine WITTEVRONGEL
  Ghent University

Keyword

cognitive radio, opportunistic scheduling, Markov chain, performance analysis

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Osama SALAMEH, Koen DE TURCK, Dieter FIEMS, Herwig BRUNEEL, Sabine WITTEVRONGEL, "Performance Analysis of a Cognitive Radio Network with Imperfect Spectrum Sensing" in IEICE TRANSACTIONS on Communications, vol. E101-B, no. 1, pp. 213-222, January 2018, doi: 10.1587/transcom.2017EBP3037.
Abstract: In Cognitive Radio Networks (CRNs), spectrum sensing is performed by secondary (unlicensed) users to utilize transmission opportunities, so-called white spaces or spectrum holes, in the primary (licensed) frequency bands. Secondary users (SUs) perform sensing upon arrival to find an idle channel for transmission as well as during transmission to avoid interfering with primary users (PUs). In practice, spectrum sensing is not perfect and sensing errors including false alarms and misdetections are inevitable. In this paper, we develop a continuous-time Markov chain model to study the effect of false alarms and misdetections of SUs on several performance measures including the collision rate between PUs and SUs, the throughput of SUs and the SU delay in a CRN. Numerical results indicate that sensing errors can have a high impact on the performance measures.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2017EBP3037/_p

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@ARTICLE{e101-b_1_213,
author={Osama SALAMEH, Koen DE TURCK, Dieter FIEMS, Herwig BRUNEEL, Sabine WITTEVRONGEL, },
journal={IEICE TRANSACTIONS on Communications},
title={Performance Analysis of a Cognitive Radio Network with Imperfect Spectrum Sensing},
year={2018},
volume={E101-B},
number={1},
pages={213-222},
abstract={In Cognitive Radio Networks (CRNs), spectrum sensing is performed by secondary (unlicensed) users to utilize transmission opportunities, so-called white spaces or spectrum holes, in the primary (licensed) frequency bands. Secondary users (SUs) perform sensing upon arrival to find an idle channel for transmission as well as during transmission to avoid interfering with primary users (PUs). In practice, spectrum sensing is not perfect and sensing errors including false alarms and misdetections are inevitable. In this paper, we develop a continuous-time Markov chain model to study the effect of false alarms and misdetections of SUs on several performance measures including the collision rate between PUs and SUs, the throughput of SUs and the SU delay in a CRN. Numerical results indicate that sensing errors can have a high impact on the performance measures.},
keywords={},
doi={10.1587/transcom.2017EBP3037},
ISSN={1745-1345},
month={January},}

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TY - JOUR
TI - Performance Analysis of a Cognitive Radio Network with Imperfect Spectrum Sensing
T2 - IEICE TRANSACTIONS on Communications
SP - 213
EP - 222
AU - Osama SALAMEH
AU - Koen DE TURCK
AU - Dieter FIEMS
AU - Herwig BRUNEEL
AU - Sabine WITTEVRONGEL
PY - 2018
DO - 10.1587/transcom.2017EBP3037
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E101-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2018
AB - In Cognitive Radio Networks (CRNs), spectrum sensing is performed by secondary (unlicensed) users to utilize transmission opportunities, so-called white spaces or spectrum holes, in the primary (licensed) frequency bands. Secondary users (SUs) perform sensing upon arrival to find an idle channel for transmission as well as during transmission to avoid interfering with primary users (PUs). In practice, spectrum sensing is not perfect and sensing errors including false alarms and misdetections are inevitable. In this paper, we develop a continuous-time Markov chain model to study the effect of false alarms and misdetections of SUs on several performance measures including the collision rate between PUs and SUs, the throughput of SUs and the SU delay in a CRN. Numerical results indicate that sensing errors can have a high impact on the performance measures.
ER -