ADAPTIVE COUNTING RULE FOR COOPERATIVE SPECTRUM SENSING UNDER CORRELATED ENVIRONMENTS

Nuno Pratas, Nicola Marchetti, Neeli R. Prasad, Ramjee Prasad, António Rodrigues

Research output: Contribution to journalConference article in JournalResearchpeer-review

Abstract

Spectrum sensing is the Cognitive Radio mechanism that enables spectrum awareness. Spectrum sensing detection performance can be greatly improved, through the use of cooperative sensing schemes.
This paper considers and proposes a cooperative spectrum sensing scheme, which implements an adaptive counting rule to perform the data fusion. The proposed scheme is evaluated against other common counting rules (e.g. 1-out-of-n and n-out-of-n) and the optimum counting rule, under different correlation conditions. The impact of correlation on the performance of the data fusion schemes, based on counting rules has been studied.
The paper finally concludes that the proposed counting rule detection performance reaches the one of the optimum counting rule and adapts to the correlation conditions.
Original languageEnglish
JournalProceedings of the Wireless Personal Multimedia Communications Symposia
Volume2010
Pages (from-to)S11-1
ISSN1347-6890
Publication statusPublished - 11 Oct 2010
Event13th International Symposium on Wireless Personal Multimedia Communications - WPMC2010 - Recife, Brazil
Duration: 11 Oct 201014 Oct 2010
Conference number: 13

Conference

Conference13th International Symposium on Wireless Personal Multimedia Communications - WPMC2010
Number13
CountryBrazil
CityRecife
Period11/10/201014/10/2010

Fingerprint

Data fusion
Cognitive radio

Cite this

Pratas, Nuno ; Marchetti, Nicola ; Prasad, Neeli R. ; Prasad, Ramjee ; Rodrigues, António. / ADAPTIVE COUNTING RULE FOR COOPERATIVE SPECTRUM SENSING UNDER CORRELATED ENVIRONMENTS. In: Proceedings of the Wireless Personal Multimedia Communications Symposia. 2010 ; Vol. 2010. pp. S11-1.
@inproceedings{9cae86a46e55490495471f97dcdb9fa0,
title = "ADAPTIVE COUNTING RULE FOR COOPERATIVE SPECTRUM SENSING UNDER CORRELATED ENVIRONMENTS",
abstract = "Spectrum sensing is the Cognitive Radio mechanism that enables spectrum awareness. Spectrum sensing detection performance can be greatly improved, through the use of cooperative sensing schemes.This paper considers and proposes a cooperative spectrum sensing scheme, which implements an adaptive counting rule to perform the data fusion. The proposed scheme is evaluated against other common counting rules (e.g. 1-out-of-n and n-out-of-n) and the optimum counting rule, under different correlation conditions. The impact of correlation on the performance of the data fusion schemes, based on counting rules has been studied.The paper finally concludes that the proposed counting rule detection performance reaches the one of the optimum counting rule and adapts to the correlation conditions.",
author = "Nuno Pratas and Nicola Marchetti and Prasad, {Neeli R.} and Ramjee Prasad and Ant{\'o}nio Rodrigues",
year = "2010",
month = "10",
day = "11",
language = "English",
volume = "2010",
pages = "S11--1",
journal = "Proceedings of the Wireless Personal Multimedia Communications Symposia",
issn = "1347-6890",
publisher = "Causal Productions",

}

ADAPTIVE COUNTING RULE FOR COOPERATIVE SPECTRUM SENSING UNDER CORRELATED ENVIRONMENTS. / Pratas, Nuno; Marchetti, Nicola; Prasad, Neeli R.; Prasad, Ramjee; Rodrigues, António.

In: Proceedings of the Wireless Personal Multimedia Communications Symposia, Vol. 2010, 11.10.2010, p. S11-1.

Research output: Contribution to journalConference article in JournalResearchpeer-review

TY - GEN

T1 - ADAPTIVE COUNTING RULE FOR COOPERATIVE SPECTRUM SENSING UNDER CORRELATED ENVIRONMENTS

AU - Pratas, Nuno

AU - Marchetti, Nicola

AU - Prasad, Neeli R.

AU - Prasad, Ramjee

AU - Rodrigues, António

PY - 2010/10/11

Y1 - 2010/10/11

N2 - Spectrum sensing is the Cognitive Radio mechanism that enables spectrum awareness. Spectrum sensing detection performance can be greatly improved, through the use of cooperative sensing schemes.This paper considers and proposes a cooperative spectrum sensing scheme, which implements an adaptive counting rule to perform the data fusion. The proposed scheme is evaluated against other common counting rules (e.g. 1-out-of-n and n-out-of-n) and the optimum counting rule, under different correlation conditions. The impact of correlation on the performance of the data fusion schemes, based on counting rules has been studied.The paper finally concludes that the proposed counting rule detection performance reaches the one of the optimum counting rule and adapts to the correlation conditions.

AB - Spectrum sensing is the Cognitive Radio mechanism that enables spectrum awareness. Spectrum sensing detection performance can be greatly improved, through the use of cooperative sensing schemes.This paper considers and proposes a cooperative spectrum sensing scheme, which implements an adaptive counting rule to perform the data fusion. The proposed scheme is evaluated against other common counting rules (e.g. 1-out-of-n and n-out-of-n) and the optimum counting rule, under different correlation conditions. The impact of correlation on the performance of the data fusion schemes, based on counting rules has been studied.The paper finally concludes that the proposed counting rule detection performance reaches the one of the optimum counting rule and adapts to the correlation conditions.

M3 - Conference article in Journal

VL - 2010

SP - S11-1

JO - Proceedings of the Wireless Personal Multimedia Communications Symposia

JF - Proceedings of the Wireless Personal Multimedia Communications Symposia

SN - 1347-6890

ER -