Skip to main content
Log in

Reputation-based linear cooperation for spectrum sensing in cognitive radio networks

  • Published:
Journal of Zhejiang University-SCIENCE A Aims and scope Submit manuscript

Abstract

We propose a reputation-based cooperative spectrum sensing scheme in cognitive radio (CR) networks to solve the uncertainty resulting from the multipath fading and shadowing effect. In the proposed scheme, each cooperative CR user has a reputation degree that is initialized and adjusted by the central controller, and used to weight the sensing result from the corresponding CR user in the linear fusion process at the central controller. A simple method for adjusting the reputation degree of CR users is also presented. We analyzed and evaluated the detection performance of the reputation-based cooperative spectrum sensing scheme. Simulation results showed that our proposed scheme alleviates the problem of corrupted detection resulting from destructive channel conditions between the primary transmitter and the CR user. The performance of our proposed scheme was improved compared to the average-based linear cooperation scheme, and was similar to that of the optimal linear cooperation scheme with feasible computational complexity. Moreover, our proposed scheme does not require knowledge of channel statistics.

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

Access this article

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

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Akyildiz, I.F., Lee, W.Y., Vuran, C., Mohanty, S., 2008. A survey on spectrum management in cognitive radio networks. IEEE Commun. Mag., 46(4):40–47. [doi:10.1109/MCOM.2008.4481339]

    Article  Google Scholar 

  • Cabric, D., Mishra, S.M., Brodersen, R.W., 2004. Implementation Issues in Spectrum Sensing for Cognitive Radios. 38th Asilomar Conf. on Signals, Systems and Computers, p.772–776. [doi:10.1109/ACSSC.2004.1399240]

  • Cabric, D., Thachenko, A., Brodersen, R.W., 2006. Experimental Study of Spectrum Sensing Based on Energy Detection and Network Cooperation. ACM 1st Int. Workshop on Technology and Policy for Access Spectrum, Article 12. [doi:10.1145/1234388.1234400]

  • Enserink, S., Cochran, D., 1994. A Cyclostationary Feature Detector. 28th Asilomar Conf. on Signals, Systems and Computers, p.806–810. [doi:10.1109/ACSSC.1994.471573]

  • Ganesan, G., Li, Y., 2007a. Cooperative spectrum sensing in cognitive radio, Part I: two user networks. IEEE Trans. Wirel. Commun., 6(6):2204–2213. [doi:10.1109/TWC.2007.05775]

    Article  Google Scholar 

  • Ganesan, G., Li, Y., 2007b. Cooperative spectrum sensing in cognitive radio, Part II: multiuser networks. IEEE Trans. Wirel. Commun., 6(6):2214–2222. [doi:10.1109/TWC.2007.05776]

    Article  Google Scholar 

  • Gendenko, B.V., Kolmogorov, A.N., 1954. Limit Distributions for Sums of Independent Random Variables. Springer-Verlag, New York, p.94–124.

    Google Scholar 

  • Ghasemi, A., Sousa, E.S., 2008. Spectrum sensing in cognitive radio networks: requirements, challenges and design trade-offs. IEEE Commun. Mag., 46(4):32–39. [doi:10.1109/MCOM.2008.4481338]

    Article  Google Scholar 

  • Hong, L., Ma, J., Xu, F., Li, S., Zhou, Z., 2008. Optimization of Collaborative Spectrum Sensing for Cognitive Radio. IEEE Int. Conf. on Networking, Sensing and Control, p.1730–1733. [doi:10.1109/ICNSC.2008.4525502]

  • Kay, S.M., 1998. Fundamentals of Statistical Signal Processing: Detection Theory. Prentice-Hall, Englewood Cliffs, NJ, p.60–93.

    Google Scholar 

  • Ma, J., Li, Y., 2007. Soft Combination and Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks. IEEE Global Communications Conf., p.3139–3143. [doi:10.1109/GLOCOM.2007.594]

  • Mishra, S.M., Sahai, A., Brodersen, R.W., 2006. Cooperative Sensing Among Cognitive Radios. Proc. IEEE Int. Conf. on Communications, p.1658–1663. [doi:10.1109/ICC.2006.254957]

  • Quan, Z., Cui, S., Sayed, A.H., 2008a. Optimal linear cooperation for spectrum sensing in cognitive radio networks. IEEE J. Sel. Topics Signal Process., 2(1):28–40. [doi:10.1109/JSTSP.2007.914882]

    Article  Google Scholar 

  • Quan, Z., Cui, S.G., Poor, H., Sayed, A.H., 2008b. Collaborative wideband sensing for cognitive radios. IEEE Signal Process. Mag., 25(6):60–73. [doi:10.1109/MSP.2008.929296]

    Article  Google Scholar 

  • Quan, Z., Cui, S., Sayed, A.H., Poor, H.V., 2009. Optimal multiband joint detection for spectrum sensing in cognitive radio networks. IEEE Trans. Signal Process., 57(3):1128–1140. [doi:10.1109/TSP.2008.2008540]

    Article  MathSciNet  Google Scholar 

  • Sun, C., Zhang, W., Letaief, K.B., 2007. Cooperative Spectrum Sensing for Cognitive Radios under Bandwidth Constraints. IEEE Wireless Communications & Networking Conf., p.1–5. [doi:10.1109/WCNC.2007.6]

  • Unnikrishnan, J., Veeravalli, V.V., 2008. Cooperative sensing for primary detection in cognitive radio. IEEE J. Sel. Topics Signal Process., 2(1):18–27. [doi:10.1109/JSTSP.2007.914880]

    Article  Google Scholar 

  • Zhang, W., Mallik, R.K., Letaief, K.B., 2008. Cooperative Spectrum Sensing Optimization in Cognitive Radio Networks. Proc. IEEE Int. Conf. on Communications, p.3411–3415. [doi:10.1109/ICC.2008.641]

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lei Xie.

Additional information

Project supported by the National Natural Science Foundation of China (No. 60772093), the National Basic Research Program of China (No. 2009CB320405), and the Zhejiang Provincial Foundation for Returnees

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chen, Hf., Jin, X. & Xie, L. Reputation-based linear cooperation for spectrum sensing in cognitive radio networks. J. Zhejiang Univ. Sci. A 10, 1688–1695 (2009). https://doi.org/10.1631/jzus.A0820870

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1631/jzus.A0820870

Key words

CLC number

Navigation