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Optimal Cooperative Spectrum Sensing in Interference-Aware Cognitive Radio Networks

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Abstract

In order to protect the primary user from being interfered, most of the related works focus only on the restriction of the missed detection probability, which may cause over-protection of the primary user. Thus the interference probability is defined and the interference-aware sensing model is introduced in this paper. The interference-aware sensing model takes the spatial conditions into consideration, and can further improve the network performance with a good spectrum reuse opportunity. Meanwhile, although the detection performance can be further improved by the cooperative spectrum sensing, it also introduces additional reporting time corresponding to the number of cooperative users (CUs), which may decrease the throughput of the CRN. Motivated by the above, in this paper, we study the throughput tradeoff for interference-aware cognitive radio networks. For cooperative spectrum sensing, the Logic-OR fusion rule is used. By jointly optimizing the sensing time and the number of the CUs, the maximum throughput can be achieved. Theoretical analysis is given to prove the feasibility of the optimization and numerical simulations also show that the maximum throughput can be achieved when the sensing time and the number of the CUs are both optimized.

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References

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

    Article  Google Scholar 

  2. Akyildiz, I. F., Mehmet, W.-Y. L., Vuran, C., et al. (2006). NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey. ELSEVIER Computer Networks, 50, 2127–2159.

    Article  MATH  Google Scholar 

  3. Xu, Y., Shen, A., Shen, L., Wu, Q., et al. (2013). Decision-theoretic opportunistic spectrum access: Strategies, challenges and solutions. IEEE Communication Survey & Tutorial, 15, 1689–1713.

    Article  Google Scholar 

  4. Xu, Y., Wang, J., Wu, Q., et al. (2012). Optimal energy-efficient channel exploration for opportunistic spectrum usage. IEEE Wireless Communications Letters, 1(2), 77–80.

    Article  MathSciNet  Google Scholar 

  5. Xu, Y., Wang, J., Wu, Q., et al. (2012). Opportunistic spectrum access in cognitive radio networks: Global optimization using local interaction games. IEEE Journal of Selected Topics in Signal Processing, 6(2), 180–194.

    Article  Google Scholar 

  6. Tandra, R., Sahai, A., & Mishra, S. M. (2009). What is a spectrum hole and what does it take to recognize one. Proceedings of IEEE, 97(5), 824–848.

    Article  Google Scholar 

  7. Wu, Q., Ding, G., Wang, J., et al. (2013). Spatial-temporal opportunity detection in spectrum-heterogeneous cognitive radio networks: Two-dimensional sensing. IEEE Transactions on Wireless Communications, 12(2), 516–526.

    Article  MathSciNet  Google Scholar 

  8. Yucek, T., & Arslan, H. (2009). A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Communications Surveys and Tutorials, 11(1), 116–130.

    Article  Google Scholar 

  9. Zeng, Y., Liang, Y.-C., Hoang, A. T., et al. (2010). A review on spectrum sensing for cognitive radio: Challenges and solutions. EURASIP Journal on Advances in Signal Processing, 2010, 1–16.

    Article  Google Scholar 

  10. Quan, Z., Cui, S., & Sayed, A. H. (2010). 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 

  11. 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 

  12. Sayed, A. H., Cui, S., & Quan, Z. (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 

  13. Maleki, S., Chepuri, S. P., & Leus, G. (2011). Energy and throughput efficient strategies for cooperative spectrum sensing in cognitive radios. In IEEE international workshop on signal processing advances in wireless communications (pp. 71–75).

  14. Huogen, Y., Wanbin, T., & Shaoqian, L. (2011). Optimization of cooperative spectrum sensing in multiple-channel cognitive radio networks. In IEEE GLOBECOM.

  15. Fan, R. F., & Jiang, H. (2010). Optimal multi-channel cooperative sensing incognitive radio networks. IEEE Transactions on Wireless Communications, 9(3), 1128–1138.

    Article  Google Scholar 

  16. Zhang, T., Wu, Y., Lang, K., et al. (2010). Optimal scheduling of cooperative spectrum sensing in cognitive radio networks. IEEE Systems Journal, 4(4), 535–549.

    Article  Google Scholar 

  17. Zhang, W., Mallik, R. K., & 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.

    Article  Google Scholar 

  18. Peh, E., Liang, Y.-C., Guan, Y. L., et al. (2009). Optimization of cooperative sensing in cognitive radio networks: A sensing-throughput tradeoff view. IEEE Transactions on Vehicular Technology, 58(9), 5294–5299.

    Article  Google Scholar 

  19. Liang, Y., Zeng, Y., Peh, E. C. Y., et al. (2008). Sensing-throughput tradeoff for cognitive radio networks. IEEE Transactions on Wireless Communications, 7(4), 1326–1337.

    Article  Google Scholar 

  20. Lin, Y., Liu, K., & Hsieh, H. (2013). On using interference-aware spectrum sensing for dynamic spectrum access in cognitive radio networks. IEEE Transactions on Mobile Computing, 12(3), 461–474.

    Article  Google Scholar 

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Acknowledgments

This work was supported by the National Science Foundation of China under Grant Nos. 61172062 and 61301160, and in part by Jiangsu Province Natural Science Foundation of China under Grant No. BK2011116.

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Authors and Affiliations

  1. College of Communications Engineering, PLA University of Science and Technology, Nanjing, China

    Fei Song, Changju Kan, Qihui Wu & Guoru Ding

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  1. Fei Song
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  2. Changju Kan
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  3. Qihui Wu
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  4. Guoru Ding
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Correspondence to Changju Kan.

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Song, F., Kan, C., Wu, Q. et al. Optimal Cooperative Spectrum Sensing in Interference-Aware Cognitive Radio Networks. Wireless Pers Commun 82, 2171–2184 (2015). https://doi.org/10.1007/s11277-015-2340-3

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  • DOI: https://doi.org/10.1007/s11277-015-2340-3

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