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Spectrum Sensing Algorithms in the Cognitive Radio Network

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Emerging Intelligent Computing Technology and Applications (ICIC 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 304))

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Abstract

Detecting the unused spectrum and sharing it without harmful interference with other users is an important requirement of the Cognitive Radio network to sense spectrum holes. This paper focused on the spectrum sensing models and some kinds of spectrum sensing algorithms and their improved algorithms. And attention is concentrated on the performance compare of the different algorithms.

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References

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Author information

Authors and Affiliations

  1. Aviation University of Air force, Changchun, 130022, China

    Yanbin Shi

  2. Information Engineering Institute, Urumqi Vocational University, Urumqi, 830001, China

    Jian Guo

  3. 94170 troop of PLA, Xian, 710082, China

    Yuanfang Jian

Authors
  1. Yanbin Shi
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  2. Jian Guo
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  3. Yuanfang Jian
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Editor information

Editors and Affiliations

  1. Machine Learning and Systems Biology Laboratory, School of Electronics and Information Engineering, Tongji University, Shanghai, China

    De-Shuang Huang

  2. Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, 208016, Kanpur, India

    Phalguni Gupta

  3. Department of Chemistry, University of Louisville, 2320 South Brook Street, 40292, Louisville, Kentucky, USA

    Xiang Zhang

  4. School of Electrical, Computer & Telecommunications Engineering, The University of Wollongong,, 2522, North Wollongong, NSW, Australia

    Prashan Premaratne

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© 2012 Springer-Verlag Berlin Heidelberg

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Shi, Y., Guo, J., Jian, Y. (2012). Spectrum Sensing Algorithms in the Cognitive Radio Network. In: Huang, DS., Gupta, P., Zhang, X., Premaratne, P. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2012. Communications in Computer and Information Science, vol 304. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31837-5_19

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  • DOI: https://doi.org/10.1007/978-3-642-31837-5_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31836-8

  • Online ISBN: 978-3-642-31837-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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