ADAPTIVE COUNTING RULE FOR COOPERATIVE SPECTRUM SENSING UNDER CORRELATED ENVIRONMENTS

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

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer 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.
OriginalsprogEngelsk
TidsskriftProceedings of the Wireless Personal Multimedia Communications Symposia
Vol/bind2010
Sider (fra-til)S11-1
ISSN1347-6890
StatusUdgivet - 11 okt. 2010
Begivenhed13th International Symposium on Wireless Personal Multimedia Communications - WPMC2010 - Recife, Brasilien
Varighed: 11 okt. 201014 okt. 2010
Konferencens nummer: 13

Konference

Konference13th International Symposium on Wireless Personal Multimedia Communications - WPMC2010
Nummer13
Land/OmrådeBrasilien
ByRecife
Periode11/10/201014/10/2010

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