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Cooperative Spectrum Sensing Using Individual Sensing Credibility and Double Adaptive Thresholds for Cognitive Radio Network

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Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence (ICIC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6216))

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Abstract

The cognitive radio (CR) technique is a useful tool for improving spectrum utilization by detecting and using the vacant frequency bands while avoiding interference to the primary user (PU). In this paper, we propose cooperative spectrum sensing scheme using individual sensing credibility based on double adaptive thresholds for cognitive radio network. In the proposed scheme, a few local sensing information that satisfies the credibility condition will be reported to the Fusion Center (FC). By this way, CR users can save the power consumptions and the collision problem in the control channel is reduced . In addition, by ignoring the local sensing information with low credibility, the global sensing performance can be improved.

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References

  1. Federal Communications Commission, Spectrum Policy Task Force, Rep. ET Docket no. 02-135 (2002)

    Google Scholar 

  2. Sahai, A., Hoven, N., Tandra, R.: Some fundamental limits on cognitive radio. In: Proc. Allerton Conf. on Communications, control, and computing, Monticello (2004)

    Google Scholar 

  3. Ganesan, G., Li, Y.G.: Cooperative spectrum sensing in cognitive radio networks. In: Proc. IEEE Symp. New Frontiers in Dynamic Spectrum Access Networks (DySPAN05), Baltimore, USA, November 8-11, pp. 137–143 (2005)

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  4. Chair, Z., Varshney, P.K.: Optimal data fusion in multiple sensor detection systems. IEEE Trans. Aerospace Electron. Syst., 98–101 (January 22, 1986)

    Google Scholar 

  5. Mansouri, N., Fathi, M.: Simple counting rule for optimal data fusion. Control Applications. In: Proceedings of 2003 IEEE Conference on CCA 2003, June 23-25, vol. 2, pp. 1186–1191 (2003)

    Google Scholar 

  6. Digham, F.F., Alouini, M.S., Simon, M.K.: On the energy detection of unknown signals over fading channels. In: Proc. IEEE Int. Conf. Commun., Anchorage, AK, USA, May 11-15, pp. 3575–3579 (2003)

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© 2010 Springer-Verlag Berlin Heidelberg

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Vu-Van, H., Koo, I. (2010). Cooperative Spectrum Sensing Using Individual Sensing Credibility and Double Adaptive Thresholds for Cognitive Radio Network. In: Huang, DS., Zhang, X., Reyes García, C.A., Zhang, L. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2010. Lecture Notes in Computer Science(), vol 6216. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14932-0_49

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  • DOI: https://doi.org/10.1007/978-3-642-14932-0_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14931-3

  • Online ISBN: 978-3-642-14932-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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