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IDSA-UP: An Improved Dynamic Spectrum Access Algorithm Based on User’ Priority

Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 114)

Abstract

In this paper, with the aim of improving spectrum utilization, we proposed an improved dynamic spectrum access algorithm which was based on users’ priority (IDSA-UP). In IDSA-UP, cognitive users with different priorities collaborated with each other, and power control was used to ensure that there was no interference between secondary and primary users(PUs) and the interference between secondary users (SUs) should meet the constrain. Then graph coloring was used to allocate the spectrum. Performance analysis and simulation results show that IDSA-UP algorithm can improve the spectrum utilization compared with color sensitive graph coloring (CSGC) algorithm and color sensitive graph coloring with tags deleted (CSGCTD). Consider that the number of secondary user is 10 in a square service area of size 100 × 100m2, the interference one SU suffered from other SUs is limited in 5% of the primary user’ covering radius, the spectrum utilization increase 40%.

Keywords

Dynamic Spectrum Access ISDA-UP user’ priority Spectrum utilization 

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References

  1. 1.
    Mitola, J., et al.: Cognitive Radios: Making Software Radios more Personal. IEEE J. Personal Communications 6(4), 13–18 (1999)CrossRefGoogle Scholar
  2. 2.
    Haykin, S.: Cognitive Radio: Brain-Empowered Wireless Communications. IEEE J. Selected Areas in Comm. 23(2), 201–220 (2005)CrossRefGoogle Scholar
  3. 3.
    Hamdaoui, B., Shin, K.G.: OS-MAC: An Efficient MAC Protocol for Spectrum-Agile Wireless Networks. IEEE Trans. Mobile Computing 7(8), 915–930 (2008)CrossRefGoogle Scholar
  4. 4.
    Qing, Z., Lang, T., Ananthram, S., Yunxia, C.: Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework. IEEE J. Selected Areas in Communications 25(3), 589–600 (2007)CrossRefGoogle Scholar
  5. 5.
    Yunxia, C., Qing, Z., Swami, A.: Joint Design and Separation Principle for Opportunistic Spectrum Access in the Presence of Sensing Errors. IEEE Trans. Information Theory 54(5), 2053–2071 (2008)CrossRefGoogle Scholar
  6. 6.
    Michael, T., Sofie, P., Antoine, D., et al.: A Distributed Multichannel MAC Protocol for Multihop Cognitive Radio Networks. IEEE Trans. Vehicular Technology 59(1), 446–459 (2010)CrossRefGoogle Scholar
  7. 7.
    Huang, S., Liu, X., Ding, Z.: Opportunistic spectrum access in cognitive radio networks. In: Proc. IEEE Word Congress on Computational Intelli (IJCNN 2008), Hong Kong, pp. 3412–3415 (June 2008)Google Scholar
  8. 8.
    Zheng, H., Peng, C.: Collaboration and fairness in opportunistic spectrum access. In: Proc. IEEE International Conference on Comm (ICC 2005), Beijing, pp. 3132–3136 (May 2005)Google Scholar
  9. 9.
    Peng, C., Zheng, H., Zhao, B.: Utilization and fairness in spectrum assignment for opportunistic spectrum access. IEEE J. ACM Mobile Networks and Applications 11(4), 555–576 (2006)CrossRefGoogle Scholar
  10. 10.
    Cao, L., Zheng, H.: Distributed spectrum allocation via local bargain. In: IEEE Proc. Sensor and Ad Hoc Comm. and Networks (SECON 2005), pp. 475–486 (Sepember 2005)Google Scholar
  11. 11.
    Xu, S., Zheng, B.: The key technology study of Dynamic Spectrum Access in Cognitive radio, Dissertation, pp. 31–45. Nanjing University of Posts and Telecommunications (2008) (in Chinese)Google Scholar
  12. 12.
    Chen, J., Li, S., Liao, C.: The research of spectrum allocation algorithm based on user’ demand in Cognitive Radio network. J. Computer Applications 28(9), 1–5 (2008)MathSciNetGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Department of Electronic EngineeringXi’an Jiaotong University, ChinaXi’anChina

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