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User Selection for Cooperative Spectrum Sensing in Mobile Heterogeneous Cognitive Radios

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Abstract

Cooperative spectrum sensing is a key technique for cognitive radio networks, in which cooperative user selection is vital to reduce overhead and ensure high detection performance. In this paper we proposed a hybrid user selection scheme, which takes into consideration of user mobility and heterogeneity. Mobility, which increases the spatial diversity, affects the user stability and correlation. The characteristics which users with different number of antennas reflect is called heterogeneity. Heterogeneity affects the user’s detection capability. The scheme ensures the optimal users to provide a high cooperative spectrum sensing performance based on the user’s own constraint in mobile heterogeneous cognitive radio. The simulation and analysis results show that the user selection is tradeoff between diversity gain and sensing reliability. Spatial diversity improves the spectrum sensing performance under sensing reliability, while mobility degrades the detection performance when the users step out of the primary protected region (PPR). If the users are always inside the PPR, we select the users whose characteristics are as follows: their speeds are as fast as possible, correlation among them is as small as possible, and their detection capability is as great as possible. Therefore, the proposed scheme is suitable both in the static and mobile cognitive radios.

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References

  1. Akyildiz, I. F., Lo, B. F., & Balakrishnan, R. (2011). Cooperative spectrum senisng in cognitive radio networks: A survey. Physical Communication, 4(1), 40–62.

    Article  Google Scholar 

  2. Wang, Y., Lin, W., Huang, Y., & Ni, W. (2014). Optimization of cluster based cooperative spectrum sensing scheme in cognitive radio networks with soft data fusion. Wireless Personal Communications, 77(4), 2871–2888.

    Article  Google Scholar 

  3. Ghasemi, A., & Sousa, E. (2005). Collaborative spectrum sensing in cognitive radio networks. IEEE DySPAN 2005, pp. 131–136.

  4. Lehtomaki, J., Vartiainen, J., Khan, Z., & Braysy, T. (2010). Selection of cognitive radios for cooperative sensing. In 2010 3rd International Symposium on (ISABEL) (pp. 1-5).

  5. Mishra, S. M., Sahai, A., & Brodersen, R. W. (2006). Cooperative sensing among cognitive radios. IEEE International Conference on Communications, 4, 1658–1663.

    Google Scholar 

  6. Cicho, K., Nardis, L. D., Bogucka, H., & Benedetto, M. G. D. (2014). Mobility aware correlation-based node grouping and selection for cooperative spectrum sensing. Telecommunications and Information Technology, 2014(2), 90–102.

  7. 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.

  8. Zahmati, A. S., Fernando, X., & Grami, A. (2014). Energy-aware secondary user selection in cognitive rensor networks. IET Wireless Sensor Systems, 4(2), 86–96.

    Article  Google Scholar 

  9. Monemian, M., & Mahdavi, M. (2014). Analysis of a new energy based sensor selection method for cooperative spectrum sensing in cognitive radio networks. IEEE Sensors Journal, 14(9), 3021–3032.

    Article  Google Scholar 

  10. Min, A. W., & Shin, K. G. (2009). Impact of mobility on spectrum sensing in cognitive radio networks. In Proceedings of the ACM workshop on cognitive radio networks (Vol. 104, pp. 13–18). ACM

  11. Ekti, A. R., Yarkan, S., Qaraqe, K. A., Serpedin, E., & Dobre, O. A. (2013). Analysis of mobility impact on interference in cognitive radion networks. Physical Communication, 9(9), 212–222.

    Article  Google Scholar 

  12. Cacciapuoti, A. S., Akyildiz, I. F., & Paura, L. (2012). Correlation aware user selection for cooperative spectrum sensing in cognitive radio ad hoc networks. IEEE Journal on Selected Areas in Communications, 30(2), 297–306.

  13. Cacciapuoti, A. S., Akyildiz, I. F., & Paura, L. (2011). Primary-user mobility impact on spectrum sensing in cognitive radio networks. IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications, 8069(5), 451–456.

    Article  Google Scholar 

  14. Wu, S., Zhao, M., & Zhu, J. (2009). Optimal number of secondary users through maximizing utility in cooperative spectrum sensing. IEEE 70th Vehicular Technology Conference Fall (VTC 2009-Fall).

  15. Mashreghi, M., & Abolhassani, B. (2010). Optimum number of SUs and optimum fusion rule in cooperative spectrum sensing to maximize channel throughput. In 2010 5th international symposium on telecommunications (IST), 1–6, Tehran. doi:10.1109/ISTEL.2010.5733988.

  16. Long, Y., Li, H., Yue, H., Pan, M., & Fang, Y. (2014). Spectrum utilization maximization in energy limited cooperative cognitive radio networks. IEEE ICC 2014 cognitive radio and networks symposium, 2014 (pp. 1466–1471).

  17. Han, S. C., & Xia, Y. (2009). Optimal node selection algorithm for parallel access in overlay networks. Computer networks, 53(9), 1480–1496.

  18. Min, A. W., & Shin, K. G. (2013). Joint optimal sensor selection and scheduling in dynamic spectrum access networks. IEEE Transactions on Mobile Computing, 12(8), 1532–1545.

    Article  Google Scholar 

  19. Jing, T., Zhu, S., Li, H., Xing, X., Cheng, X., Huo, Y., et al. (2014). Cooperative relay selection in cognitive radio networks. IEEE Transactions on Vehicular Technology, 64(11), 1872–1881.

    Google Scholar 

  20. Li, H., Hua, C., Chen, C., & Guan, X. (2014). ADS-B aided robust relay selection for cooperative communication in aircraft approach. International Journal of Communication Systems, 29(1), 113–129.

  21. Mittal, K., Belding, E., & Suri, S. (2008). A game theoretic analysis of wireless access point selection by mobile users. Computer Communications, 31(10), 2049–2062.

    Article  Google Scholar 

  22. Cassiapuoti, A. S., Akyildiz, I. F., & Paura, L. (2013). Optimal primary user mobility aware spectrum sensing design for cognitive radio networks. IEEE Journal on Selected Areas in Communications, 31(11), 2161–2172.

  23. Digham, F. F., Alouini, M.-S., & Simon, M. K. (2003). On the energy detection of unknown signals over fading channels. In Proceedings of IEEE ICC, 03(5), pp. 3575–3579.

  24. Ejaz, W., Shah, G. A., Hasan, N., & Kim, H. S. (2015). Energy and throughput efficient cooperative spectrum sensing in cognitive radio sensor networks. Tranactions on Emerging Telecommunications Technologies, 26(7), 1019–1030.

    Article  Google Scholar 

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Acknowledgements

This work was supported by the National Science Foundation of China Grant (No. 61271177) and Special Funding for Beijing Common Construction Project.

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Authors and Affiliations

  1. The School of Electronics and Control Engineering, North China Institute of Aerospace Engineering, Langfang, China

    Meimei Duan

  2. The School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China

    Zhimin Zeng, Caili Guo & Fangfang Liu

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  1. Meimei Duan
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  2. Zhimin Zeng
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  4. Fangfang Liu
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Correspondence to Meimei Duan.

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Duan, M., Zeng, Z., Guo, C. et al. User Selection for Cooperative Spectrum Sensing in Mobile Heterogeneous Cognitive Radios. Wireless Pers Commun 95, 3077–3096 (2017). https://doi.org/10.1007/s11277-017-3985-x

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