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A Dynamic Spectrum Allocation Strategy in CRNs and Its Performance Evaluation

  • Shunfu Jin
  • Wuyi YueEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 660)

Abstract

Aiming to investigate the influence of the burst requests and the likelihood of impatience possibility on a dynamic spectrum allocation strategy in Cognitive Radio Networks (CRNs), we establish a batch arrival queueing model with possible reneging and potential transmission interruption. We derive the stead-state distribution of the queueing length to analyze the stochastic behavior of the system. Accordingly, we give some important performance measures and numerical results to show the change trends of the performance measures with respect to different batch arrival rates and different impatience parameters.

Keywords

Cognitive radio networks Dynamic spectrum strategy Batch arrival Impatient packets Markov chain 

Notes

Acknowledgments

This work was supported in part by National Science Foundation (No. 61472342), China and was supported in part by MEXT, Japan.

References

  1. 1.
    Li, H., Han, Z.: Socially optimal queuing control in cognitive radio networks subject to service interruptions: to queue or not to queue? IEEE Trans. Wirel. Commun. 10(5), 1656–1666 (2011)CrossRefGoogle Scholar
  2. 2.
    Abdallah, K.: Queue model analysis for spectrum sharing cognitive systems under outage probability constraint. Wirel. Pers. Commun. 73(3), 1021–1035 (2013)CrossRefGoogle Scholar
  3. 3.
    Oklander, B., Sidi, M.: On cognitive processes in cognitive radio networks. Wirel. Netw. 20(2), 319–330 (2014)CrossRefGoogle Scholar
  4. 4.
    Cadeau, W., Li, X., Xiong, C.: Markov model based jamming and anti-jamming performance analysis for cognitive radio networks. Commun. Netw. 6(2), 76–85 (2014)CrossRefGoogle Scholar
  5. 5.
    Wang, J., Huang, A., Wang, W., Quek, T.: Admission control in cognitive radio networks with finite queue and user impatience. IEEE Wirel. Commun. Lett. 2(2), 175–178 (2013)CrossRefGoogle Scholar
  6. 6.
    Wang, J., Zhang, F.: Equilibrium analysis of the observable queues with balking and delayed repairs. Appl. Math. Comput. 218(6), 2716–2729 (2011)MathSciNetzbMATHGoogle Scholar
  7. 7.
    Hassin, R., Haviv, M.: To Queue or Not To Queue: Equilibrium Behavior in Queueing Systems. Springer, Boston (2003)CrossRefzbMATHGoogle Scholar
  8. 8.
    Jin, S., Yue, W., Saffer, S.: Analysis and optimization of a gated polling based spectrum allocation mechanism in cognitive radio networks. J. Ind. Manag. Optim. 12(2), 687–702 (2015)MathSciNetCrossRefzbMATHGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2016

Authors and Affiliations

  1. 1.School of Information Science and EngineeringYanshan UniversityQinhuangdaoChina
  2. 2.Department of Intelligence and InformaticsKonan UniversityKobeJapan

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