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A Dynamic Spectrum Allocation Strategy in CRNs and Its Performance Evaluation

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Book cover Knowledge and Systems Sciences (KSS 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 660))

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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.

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Acknowledgments

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

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Authors and Affiliations

  1. School of Information Science and Engineering, Yanshan University, Qinhuangdao, 066004, China

    Shunfu Jin

  2. Department of Intelligence and Informatics, Konan University, Kobe, 658-8501, Japan

    Wuyi Yue

Authors
  1. Shunfu Jin
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  2. Wuyi Yue
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Corresponding author

Correspondence to Wuyi Yue .

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Editors and Affiliations

  1. Tsinghua University , Beijing, China

    Jian Chen

  2. School of Knowledge Science, JAIST School of Knowledge Science, Nomi, Ishikawa, Japan

    Yoshiteru Nakamori

  3. Dept. Info Sci &, Fac. Sci & Engg, Konan University Dept. Info Sci &, Fac. Sci & Engg, Higashinada-ku, Kobe, Japan

    Wuyi Yue

  4. Chinese Academy of Sciences , Beijing, China

    Xijin Tang

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© 2016 Springer Nature Singapore Pte Ltd.

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Jin, S., Yue, W. (2016). A Dynamic Spectrum Allocation Strategy in CRNs and Its Performance Evaluation. In: Chen, J., Nakamori, Y., Yue, W., Tang, X. (eds) Knowledge and Systems Sciences. KSS 2016. Communications in Computer and Information Science, vol 660. Springer, Singapore. https://doi.org/10.1007/978-981-10-2857-1_17

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  • DOI: https://doi.org/10.1007/978-981-10-2857-1_17

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2856-4

  • Online ISBN: 978-981-10-2857-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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