Advertisement

Wireless Networks

, Volume 20, Issue 6, pp 1399–1407 | Cite as

Cooperative spectrum sensing under unreliable reporting channels

  • Amanda de PaulaEmail author
  • Cristiano Panazio
Article

Abstract

This article analyzes a cooperative spectrum sensing scheme using a distributed approach with a fusion center considering an unreliable reporting channel. The spectrum sensing is applied to a cognitive radio system, where each cognitive radio sends its decision to a fusion center through a reporting channel, in which an n-out-of-K rule is applied. We compare the performance of the decision rules, analyzing the impact of the errors introduced by the reporting channel, considering the Bayes risk criterion.

Keywords

Cognitive radio Spectrum sensing Detection and estimation Bayes risk 

Notes

Acknowledgments

This work was funded by CAPES (Brazil).

References

  1. 1.
    Ellingson, S. W. (2005). Spectral occupancy at VHF: Implications for frequency-agile cognitive radios. IEEE Vehicular Technology Conference, 2, 1379–1382.Google Scholar
  2. 2.
    Mitola, J. III, Maguire, G. Q. Jr. (1999). Cognitive radio: making software radios more personal. IEEE Personal Communications, 6(4), 13–18.CrossRefGoogle Scholar
  3. 3.
    Haykin, S. (2005). Cognitive radio: Brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications, 23(2), 201–220.CrossRefGoogle Scholar
  4. 4.
    Marinho, J., & Monteiro, E. (2012). Cognitive radio: Survey on communication protocols, spectrum decision issues, and future research directions. Wireless Networks, 18(2), 147–164.CrossRefGoogle Scholar
  5. 5.
    Haykin, S., Thomson, D. J., & Reed, J. H. (2009). Spectrum sensing for cognitive radio. Proceedings of the IEEE, 97(5), 849–877.CrossRefGoogle Scholar
  6. 6.
    Quan, Z., Cui, S., Poor, H. V., & Sayed, A. (2008). Collaborative wideband sensing for cognitive radios. IEEE Signal Processing Magazine, 25(6), 60–73.CrossRefGoogle Scholar
  7. 7.
    Zhang, W., Mallik, R., & Letaief, K. B. (2009). Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks. IEEE Transactions on Wireless Communications, 8(12), 5761–5766.CrossRefGoogle Scholar
  8. 8.
    Ghasemi, A., & Sousa, E. S. (2007). Opportunistic spectrum access in fading channels through collaborative sensing. Journal of Communications, 2(2), 71–82.CrossRefGoogle Scholar
  9. 9.
    Letaief, K. B., & Zhang, W. (2009). Cooperative communications for cognitive radio networks. Proceedings of the IEEE, 97(5), 878–893.CrossRefGoogle Scholar
  10. 10.
    Atapattu, S., Tellambura, C., & Jiang, H. (2011). Energy detection based cooperative spectrum sensing in cognitive radio networks. IEEE Transactions on Wireless Communications, 10(4), 1232–1241.CrossRefGoogle Scholar
  11. 11.
    Chaudhari, S., Lunden, J., Koivunen, V., & Poor, H. V. (2012). Cooperative sensing with imperfect reporting channels: Hard decisions or soft decisions?. IEEE Transactions on Signal Processing, 60(1), 18–28.CrossRefMathSciNetGoogle Scholar
  12. 12.
    Chaudhari, S., Lundén, J., Koivunen, V., & Vincent Poor, H. (2013). BEP walls for cooperative sensing in cognitive radios using k-out-of-n fusion rules. Signal Processing, 93(7), 1900–1908.CrossRefGoogle Scholar
  13. 13.
    Birkan Yilmaz, H., Tugcu, T., & Fatih, A. (2012). Novel quantization-based spectrum sensing scheme under imperfect reporting channel and false reports. International Journal of Communication Systems. doi: 10.1002/dac.2408.
  14. 14.
    Kay, S. M. (1998). Fundamentals of statical signal processing, volume II: Detection theory. New Jersey: Prentice Hall.Google Scholar
  15. 15.
    Varshney, P. K. (1996). Distributed detection and data fusion. New York: Springer.Google Scholar
  16. 16.
    Chaudhari, S., Lunden, J., Koivunen, V. (2012). BEP walls for cooperative bayesian detection with reporting channel errors. In 2012 IEEE 23rd International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC), pp. 2166–2172.Google Scholar
  17. 17.
    Mariani, A., Giorgetti, A., & Chiani, M. (2011). Effects of noise power estimation on energy detection for cognitive radio applications. IEEE Transactions on Communications, 59(12), 3410–3420.CrossRefGoogle Scholar
  18. 18.
    Yin, W., Ren, P., Cai, J., & Su, Z. (2013). Performance of energy detector in the presence of noise uncertainty in cognitive radio networks. Wireless Networks, 19(5), 629–638.CrossRefGoogle Scholar
  19. 19.
    Digham, F. F., Alouini, M. S., & Simon, M. K. (2007). On the energy detection of unknown signals over fading channels. IEEE Transactions on Communications, 55(1), 21–24.CrossRefGoogle Scholar
  20. 20.
    Zhou, X., Ma, J., Li, G., Kwon, Y., & Soong, A. C. K. (2010). Probability-based combination for cooperative spectrum sensing. IEEE Transactions on Communications, 58(2), 463–466.CrossRefGoogle Scholar
  21. 21.
    Stewart, J. (2000). Multivariable calculus: Concepts and contexts. Brooks/Cole.Google Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Department of Control and Telecommunications EngineeringEscola Politécnica of the University of São PauloSão PauloBrazil

Personalised recommendations