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Optimal MAC based cooperative spectrum sensing in cognitive radio networks

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Abstract

This paper considers a cognitive radio (CR) system in non-ideal fading wireless channels and proposes cooperative spectrum sensing schemes based on coherent multiple access channels (MAC), serving as an alternative way to improve the cooperative spectrum sensing performance and provide space diversity for spectrum sensing. Sufficient statistics are transmitted using a common channel from the secondary users (SUs) to a fusion center (FC) where the global decision is obtained. The optimal scaling factors of the proposed schemes are obtained by maximizing the detection probability under a target false alarm probability and a transmit power constraint. Because the proposed optimal MAC scheme has high computational complexity, a sub-optimal solution based on maximization of the deflection coefficient (DC) is also proposed. Simulation results show that the proposed algorithms can significantly improve the spectrum sensing performance and approach the detection baseline.

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References

  1. Letaief K B, Zhang W. Cooperative communications for cognitive radio networks. Proc IEEE, 2009, 97: 878–893

    Article  Google Scholar 

  2. Jun M, Zhao G D, Li Y. Soft combination and detection for cooperative spectrum sensing in cognitive radio networks. IEEE Trans Wirel Commun, 2008, 7: 4502–4507

    Article  Google Scholar 

  3. Ganesan G, Li Y. Cooperative spectrum sensing in cognitive radio, part I: two user networks. IEEE Trans Wirel Commun, 2007, 6: 2204–2213

    Article  Google Scholar 

  4. Laneman J N, Tse D, Wornell G W. Cooperative diversity in wireless networks: efficient protocols and outage behavior. IEEE Trans Inf Theory, 2004, 50: 3062–3080

    Article  MathSciNet  Google Scholar 

  5. Liu K, Gamal H E, Sayeed A. Decentralized inference over multiple-access channels. IEEE Trans Signal Process, 2007, 55: 3445–3455

    Article  MathSciNet  Google Scholar 

  6. Liu K, Sayeed A. Type-based decentralized detection in wireless sensor networks. IEEE Trans Signal Process, 2007, 55: 1899–1910

    Article  MathSciNet  Google Scholar 

  7. Xiao J J, Cui S G, Luo Z Q, et al. Linear coherent decentralized estimation. IEEE Trans Signal Process, 2008, 56: 757–770

    Article  MathSciNet  Google Scholar 

  8. Berger C R, Guerriero M, Zhou S L, et al. PAC vs. MAC for decentralized detection using noncoherent modulation. IEEE Trans Signal Process, 2009, 57: 3562–3575

    Article  MathSciNet  Google Scholar 

  9. Kay S M. Fundamentals of statistical signal processing: detection theory. Upper Saddle River, NJ: Prentice-Hall, 1998

    Google Scholar 

  10. Wang J Z, Chen J. Performance of wideband CDMA with complex spreading and imperfect channel estimation. IEEE J Sel Area Comm, 2001, 19:152–163

    Article  Google Scholar 

  11. Wang J Z, Milstein L B. CDMA overlay situations for microcellular mobile communications. IEEE Trans Commun, 1995, 43: 603–614

    Article  Google Scholar 

  12. Boyd S, Vandenberghe L. Convex Optimization. Cambridge: Cambridge Univ, 2003

    Google Scholar 

Download references

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Correspondence to Zhong Chen.

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Chen, Z., Zhang, X. & Yang, L. Optimal MAC based cooperative spectrum sensing in cognitive radio networks. Sci. China Inf. Sci. 55, 1388–1396 (2012). https://doi.org/10.1007/s11432-012-4568-9

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  • DOI: https://doi.org/10.1007/s11432-012-4568-9

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