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A Demand-Based Spectrum Allocation Algorithm in Cognitive Radio Networks

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Frontiers in Computer Education

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 133))

Abstract

The existing spectrum allocation method in CR(Cognitive Radio) focused on the conflict-free allocation and maximize spectrum utilization, etc. without an adequate account of the business requirements of different users. Therefore, the paper introduced a spectrum quality grading method based on fuzzy comprehensive evaluation. A demand-based spectrum allocation algorithm was also proposed based on the combination of graph model and spectrum quality grading. The simulation results shows that the researched algorithm can better satisfy the business requirements of the users and provides them with quality-of-service (QoS) guarantee.

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References

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Author information

Authors and Affiliations

  1. Posts and Telecommunications, Chongqing University, Chongqing, P.R. China

    Yong Zhang, Xiaohong Chen & Lingsheng Fu

  2. Posts and Telecommunications, Chongqing Information Technology Designing Co. Ltd., Chongqing University, Chongqing, P.R. China

    Yong Zhang & Lingsheng Fu

Authors
  1. Yong Zhang
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  2. Xiaohong Chen
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  3. Lingsheng Fu
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Corresponding author

Correspondence to Yong Zhang .

Editor information

Editors and Affiliations

  1. South China Normal University, Guangzhou, 510631, China, People's Republic

    Sabo Sambath

  2. South China Normal University, Guangzhou, 510631, China, People's Republic

    Egui Zhu

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Cite this chapter

Zhang, Y., Chen, X., Fu, L. (2012). A Demand-Based Spectrum Allocation Algorithm in Cognitive Radio Networks. In: Sambath, S., Zhu, E. (eds) Frontiers in Computer Education. Advances in Intelligent and Soft Computing, vol 133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27552-4_132

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  • DOI: https://doi.org/10.1007/978-3-642-27552-4_132

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27551-7

  • Online ISBN: 978-3-642-27552-4

  • eBook Packages: EngineeringEngineering (R0)

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