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Optimal Channel Sensing in Cognitive Radio Network with Multiple Secondary Users

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Grid and Pervasive Computing (GPC 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7861))

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Abstract

The optimal channel sensing problem in cognitive radio networks with multiple secondary users sharing a channel with primary users based on channel sensing is considered. Based on the previous system model and results in [1], we extend to cases with multiple secondary users. The characteristics of a sum rate and the optimal sensing are investigated. It is shown that the optimal sensing point is determined depending on the primary activity factor, primary and secondary link qualities.

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References

  1. Yu, H.: Optimal Channel Sensing for Maximizing System Rates in Cognitive Radio: An Analytical Approach. Submitted to ETRI Journal (2012)

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Author information

Authors and Affiliations

  1. Dept. of Inform. and Commun. Eng., Yeungnam University, Gyeongsan, Korea

    Heejung Yu

Authors
  1. Heejung Yu
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul University of Science and Technology (SeoulTech), 139-743, Seoul, Korea

    James J. (Jong Hyuk) Park

  2. Department of Computer Science, University of Georgia, 30602-7404, Athens, GA, USA

    Hamid R. Arabnia

  3. Department of Computer Science and Engineering, Sejong University, 143-747, Seoul, Korea

    Cheonshik Kim

  4. Department of Computer Science, Wayne State University, 48202, Detroit, MI, USA

    Weisong Shi

  5. School of Information Technology Engineering, Catholic University of Daegu, 712-702, Gyeongsan-si, Gyeongbuk, Korea

    Joon-Min Gil

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© 2013 Springer-Verlag Berlin Heidelberg

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Yu, H. (2013). Optimal Channel Sensing in Cognitive Radio Network with Multiple Secondary Users. In: Park, J.J.(.H., Arabnia, H.R., Kim, C., Shi, W., Gil, JM. (eds) Grid and Pervasive Computing. GPC 2013. Lecture Notes in Computer Science, vol 7861. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38027-3_95

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  • DOI: https://doi.org/10.1007/978-3-642-38027-3_95

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38026-6

  • Online ISBN: 978-3-642-38027-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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