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Adaptive Counting Rule for Cooperative Spectrum Sensing Under Correlated Environments

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Abstract

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. 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. 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.

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Authors and Affiliations

  1. Center for TeleInFrastruktur (CTIF), Aalborg University (AAU), Niels Jernes Vej 12, 9220, Aalborg Øst, Denmark

    Nuno Pratas, Nicola Marchetti, Neeli Rashmi Prasad & Ramjee Prasad

  2. Instituto Superior Técnico (IST/UTL), Instituto de Telecomunicações (IT), Av. Rovisco Pais, 1, 1049-001, Lisbon, Portugal

    Nuno Pratas & António Rodrigues

Authors
  1. Nuno Pratas
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  2. Nicola Marchetti
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  3. Neeli Rashmi Prasad
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  4. António Rodrigues
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  5. Ramjee Prasad
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Corresponding author

Correspondence to Nuno Pratas.

Additional information

The authors would like to acknowledge the FCT which supported this work under the grant SFRH/BD/36454/2007 and IT/LA.

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Pratas, N., Marchetti, N., Prasad, N.R. et al. Adaptive Counting Rule for Cooperative Spectrum Sensing Under Correlated Environments. Wireless Pers Commun 64, 93–106 (2012). https://doi.org/10.1007/s11277-012-0519-4

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  • DOI: https://doi.org/10.1007/s11277-012-0519-4

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