Skip to main content
SpringerLink
Log in

Cooperative Spectrum Sensing with Adaptive Node Selection for Cognitive Radio Networks

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

In cooperative spectrum sensing, secondary users can cooperate based on their local sensing observations so as to detect primary signals in a more reliable manner. However, because of the low strength of received primary signals, observations from some secondary users may contribute little to global decisions at the fusion center. To reduce energy consumption and sensing overhead, cooperation is recommended only with a subset of nodes receiving high-strength primary signals. This paper proposes a selection probability based cooperative spectrum sensing scheme that exploits historical observations to exclude nodes receiving low-strength primary signals. The selection probability is maintained based on local sensing information and global decisions. Simulation results demonstrate that the proposed scheme can exploit location advantages and shows almost the same detection performance as cooperative spectrum sensing with accurate node selection.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Mitola, J., & Maguire, G. Q. (1999). Cognitive radio: Making software radios more personal. IEEE Personal Communications, 6(4), 13–18.

    Article  Google Scholar 

  2. Haykin, S. (2005). Cognitive radio: Brain-impowered wireless communications. IEEE Journal on Selected Areas in Communications, 23(2), 201–220.

    Article  Google Scholar 

  3. Urkowitz, H. (1967). Energy detection of unknown deterministic signals. Proceedings of IEEE, 55(4), 523–531.

    Article  Google Scholar 

  4. Digham, F. F., Alouini, M.-S., & Simon, M. K. (2007). On the energy detection of unknown signals over fading channels. IEEE Transation on Communications, 55(1), 21–24.

    Article  Google Scholar 

  5. Cabric, D., Mishra, S. M., & Brodersen R. W. (2004). Implementation issues in spectrum sensing. In Proceedings of Asilomar conference on signal, systems and computers, Monterey, USA (pp. 772–776).

  6. Sahai, A., Cabric, D., Hoven, N., Tandra, R., Mishra, S., & Brodersen, R. (2005). Spectrum sensing: Fundamental limits and practical challenges. In Proceedings of the IEEE international symposium on dynamic spectrum access networks, Baltimore, Maryland.

  7. Liang, Y.-C., Zeng, Y. H., Peh, E., & Hoang, A. T. (2008). Sensing throughput tradeoff for cognitive radio networks. IEEE Transactions on Wireless Communications, 7(4), 1326–1337.

    Article  Google Scholar 

  8. Ma, J., Zhao, G., & Li, Y. (2008). Soft combination and detection for cooperative spectrum sensing in cognitive radio networks. IEEE Transactions on Wireless Communications, 7(11), 4502–4507.

    Article  Google Scholar 

  9. Ganesan, G., & Li, Y. (2007). Cooperative spectrum sensing in cognitive radiopart: Multiuser networks. IEEE Transactions on Wireless Communications, 6(6), 2214–2222.

    Article  Google Scholar 

  10. Letaief, K. B., & Zhang, W. (2009). Cooperative communications for cognitive radio. Proceedings of the IEEE, 97(5), 878–893.

    Article  Google Scholar 

  11. Quan, Z., Shuguang, C., & Sayed, A. H. (2008). Optimal linear cooperation for spectrum sensing in cognitive radio networks. IEEE Journal of Selected Topics in Signal Processing, 2(1), 28–40.

    Article  Google Scholar 

  12. Cui, T., & Kwak, K. (2013). Conservative cooperative spectrum sensing without CRC in CR network. IEICE Communications Express, 2(4), 161–166.

    Article  Google Scholar 

  13. Cui, T., & Kwak, K. (2013). Cooperative spectrum sensing with adaptive node selection for cognitive radio networks. In Proceedings of the fifth international conference on ubiquitous and future networks (ICUFN), Da Nang, Vietnam (pp. 506–510).

  14. Selen, Y., Tullberg, H., & Kronander, J. (2008). Selection for cooperative spectrum sensing. In Proceedings IEEE DySPAN, Chicago, USA (pp. 1–11).

  15. Khan, Z., Lehtomaki, J., Umebayashi, K., & Vartiainen, J. (2010). On the selection of the best detection performance sensors for cognitive radio networks. IEEE Signal Processing Letters, 17(4), 359–362.

    Article  Google Scholar 

  16. Yuan, W., Leung, H., Chen, S., & Cheng, W. (2011). A distributed sensor selection mechanism for cooperative spectrum sensing. IEEE Transactions on Signal Processing, 59(12), 6033–6044.

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgments

This research was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (NIPA-2014-H0301-14-1042) supervised by the NIPA (National IT Industry Promotion Agency).

Author information

Authors and Affiliations

  1. Telecommunication Engineering Laboratory, Inha University, 100 Inha-ro, Nam-gu, Incheon, 402-751, Korea

    Taiping Cui & Kyung Sup Kwak

Authors
  1. Taiping Cui
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Kyung Sup Kwak
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Kyung Sup Kwak.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Cui, T., Kwak, K.S. Cooperative Spectrum Sensing with Adaptive Node Selection for Cognitive Radio Networks. Wireless Pers Commun 78, 1879–1890 (2014). https://doi.org/10.1007/s11277-014-2050-2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-014-2050-2

Keywords

Search

Navigation