Adaptive Counting Rule for Cooperative Spectrum Sensing Under Correlated Environments
Publikation: Forskning - peer review › Tidsskriftartikel
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Adaptive Counting Rule for Cooperative Spectrum Sensing Under Correlated Environments. / Pratas, Nuno; Marchetti, Nicola; Prasad, Neeli R.; Rodrigues, António; Prasad, Ramjee.
I: Wireless Personal Communications, Vol. 64, Nr. 1, 2012, s. 93-106.Publikation: Forskning - peer review › Tidsskriftartikel
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TY - JOUR
T1 - Adaptive Counting Rule for Cooperative Spectrum Sensing Under Correlated Environments
A1 - Pratas,Nuno
A1 - Marchetti,Nicola
A1 - Prasad,Neeli R.
A1 - Rodrigues,António
A1 - Prasad,Ramjee
AU - Pratas,Nuno
AU - Marchetti,Nicola
AU - Prasad,Neeli R.
AU - Rodrigues,António
AU - Prasad,Ramjee
PB - Springer New York LLC
PY - 2012
Y1 - 2012
N2 - Spectrum sensing is the cognitive radio mechanism that enables spectrum awareness. It has been shown in the literature that spectrum sensing performance can be greatly improved through the use of cooperative sensing schemes. <br/> <br/>This paper considers and proposes a data fusion based cooperative spectrum sensing scheme based on data fusion, where an adaptive counting rule is used to implement the data fusion. The proposed scheme is evaluated against other common counting rules (e.g. 1-out-of-c and c-out-of-c) found in the literature and the optimum counting rule, while under different correlation conditions. The impact of correlation on the performance of the considered counting rules is then studied. <br/> <br/>It is concluded that the proposed adaptive counting rule detection performance reaches in some cases the one of the optimum counting rule, and therefore it adapts to the correlation conditions which the network nodes are experiencing.
AB - Spectrum sensing is the cognitive radio mechanism that enables spectrum awareness. It has been shown in the literature that spectrum sensing performance can be greatly improved through the use of cooperative sensing schemes. <br/> <br/>This paper considers and proposes a data fusion based cooperative spectrum sensing scheme based on data fusion, where an adaptive counting rule is used to implement the data fusion. The proposed scheme is evaluated against other common counting rules (e.g. 1-out-of-c and c-out-of-c) found in the literature and the optimum counting rule, while under different correlation conditions. The impact of correlation on the performance of the considered counting rules is then studied. <br/> <br/>It is concluded that the proposed adaptive counting rule detection performance reaches in some cases the one of the optimum counting rule, and therefore it adapts to the correlation conditions which the network nodes are experiencing.
U2 - 10.1007/s11277-012-0519-4
DO - 10.1007/s11277-012-0519-4
JO - Wireless Personal Communications
JF - Wireless Personal Communications
SN - 0929-6212
IS - 1
VL - 64
SP - 93
EP - 106
ER -