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Optimal Location of the Secondary Base Station for Broadcasting Cognitive Radio Networks with Spectrum Underlay

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Abstract

This paper focuses on where to place the secondary base station (SBS) so as to obtain the maximum coverage area for a broadcasting cognitive radio network with spectrum underlay. Aiming to solve this problem, the coverage area is first obtained, considering the interference constraints for the primary user (PU) and quality of service constraints for the secondary user. It is found that the location of the SBS takes an important role in the coverage area determination. Then, an optimal location of the SBS is derived to maximize the coverage area in the broadcasting cognitive radio network. Further, considering the local environment can largely determine the characteristics of radio propagation in practice, a typical scenario with an obstacle located between the PU and SBS is analyzed. Numerical results show that the optimal location of the SBS is different with different locations of the obstacle, and will converge to a fixed point as the distance between the PU and the obstacle increases when the obstacle is assumed to be a hill, which is exactly the optimal location of the SBS without the obstacle.

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References

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

    Article  Google Scholar 

  2. Ajay, S., Manav, R. B., & Ranjan, K. M. (2012). Cooperative spectrum sensing in multiple antenna based cognitive radio network using an improved energy detector. IEEE Communications Letters, 16(1), 64–67.

    Article  Google Scholar 

  3. Akyildiz, I. F., Won-Yeol, Lee, Vuran, M. C., & Mohanty, S. (2008). A survey on spectrum management in cognitive radio networks. IEEE Communications Magazine, 46(4), 40–48.

    Article  Google Scholar 

  4. Le, Long Bao, & Hossain, E. (2008). Resource allocation for spectrum underlay in cognitive radio networks. IEEE Transactions on Wireless Communications, 7(12), 5306–5315.

    Article  Google Scholar 

  5. Senthuran, S., Anpalagan, A., & Das, O. (2012). Throughput analysis of opportunistic access strategies in hybrid underlay-overlay cognitive radio networks. IEEE Transactions on Wireless Communications, 11(6), 2024–2035.

    Article  Google Scholar 

  6. Chakravarthy, V., Li, X., Wu, Z., Temple, M., Garber, F., Kannan, R., et al. (2009). Novel overlay/underlay cognitive radio waveforms using SD-SMSE framework to enhance spectrum efficiency part I: Theoretical framework and analysis in AWGN channel. IEEE Transactions on Communications, 57(12), 3794–3804.

    Article  Google Scholar 

  7. Hong, J. P., Bi, H., Tae, W. B., & Wan, C. (2012). On the cooperative diversity gain in underlay cognitive radio systems. IEEE Transactions on Communications, 60(1), 209–219.

    Article  Google Scholar 

  8. Goldsmith, A., Jafar, S. A., Marić, I., & Srinivasa, S. (2009). Breaking spectrum gridlock with cognitive radios: An information theoretic perspectiveve. Proceedings of the IEEE, 97(5), 894–914.

    Article  Google Scholar 

  9. Neham, E. A. (1974). An approach to estimating land mobile radio coverage. IEEE Transactions on Vehicular Technology, 23(4), 135–138.

    Article  Google Scholar 

  10. Chan, G. K. (1991). Propagation and coverage prediction for cellular radio systems. IEEE Transactions on Vehicular Technology, 40(4), 665–670.

    Article  Google Scholar 

  11. Cheung, K. W., & Murch, R. D. (1998). Optimising indoor base-station locations in coverage-and interference-limited indoor environments. IEE Proceedings Communications, 145(6), 445–450.

    Article  Google Scholar 

  12. Wang, Y., Si, Y., & Leung, H. (2010). A novel inversion method for outdoor coverage prediction in wireless cellular network. IEEE Transactions on Vehicular Technology, 59(1), 36–47.

    Article  Google Scholar 

  13. Xin, Q., Wang, X., Cao, J. N., & Feng, W. (2011). Joint admission control. Channel assignment and QoS routing for coverage optimization in multi-hop cognitive radio cellular networks. IEEE international conference on mobile Ad-Hoc and sensor systems. doi:10.1109/MASS.2011.17.

  14. Alberto, R., Carlo, M., & Fernando, P. (2012). Overlay spectrum reuse in a multicarrier broadcast network: Coverage analysis. IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). doi:10.1109/SPAWC.2012.6292889.

  15. Wang, L.-C., & Chen, A. (2009). Effects of location awareness on concurrent transmissions for cognitive Ad Hoc networks overlaying infrastructure-based systems. IEEE Transactions on Mobile Computing, 8(5), 577–589.

    Article  Google Scholar 

  16. Rappaport, T. S. (2002). Wireless communications: Principle and practice. Upper Saddle River: Prentice Hall.

    Google Scholar 

  17. Boyd, S., & Vandenberge, L. (2004). Convex optimization. Cambridge: Cambridge University Press.

    Book  MATH  Google Scholar 

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (No. 61001087, No. U1035002/L05, No. 61001087, No. 60901018, and No. 60902027) and the Fundamental Research Funds for the Central Universities (ZYGX2012J142).

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Authors and Affiliations

  1. National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China

    Juan Zhou, Ying Shen, Shihai Shao & Youxi Tang

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  1. Juan Zhou
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  2. Ying Shen
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  3. Shihai Shao
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  4. Youxi Tang
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Correspondence to Ying Shen.

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Zhou, J., Shen, Y., Shao, S. et al. Optimal Location of the Secondary Base Station for Broadcasting Cognitive Radio Networks with Spectrum Underlay. Wireless Pers Commun 75, 1331–1342 (2014). https://doi.org/10.1007/s11277-013-1426-z

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  • DOI: https://doi.org/10.1007/s11277-013-1426-z

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