In-Band MAC-Layer Sensing for the Cognitive Radio Networks

Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 235)

Abstract

Channel sensing in the cognitive radio networks is a very important function to avoid collision with primary users. MAC-layer sensing determines key parameters for channel sensing such as available sensing period and sensing duration. The sensing period and sensing duration affect on the data transmission. The shorter sensing period increases the sensing accuracy and reduces the possibility of packet collision with primary users. However, it can reduce the data transmission time and decrease the system throughput. Therefore, one of the important roles of MAC-layer sensing is to determine the sensing period. In this paper, we evaluate the sensing period to minimize the missing probability and interference probability to the primary users.

Keywords

Cognitive radio In-band-sensing Spectrum sensing Sensing control Sensing period 

Notes

Acknowledgments

This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Science and Technology(2011-0021164)

References

  1. 1.
    Mitola J, Maguire GQ (1999) Cognitive radio: making software radios more personal. IEEE Pers Commun 6(4):13–18CrossRefGoogle Scholar
  2. 2.
    Haykin S (2005) Cognitive radio: brain-empowered wireless communication. IEEE J Sel Areas Commun 23(2):201–220CrossRefGoogle Scholar
  3. 3.
    Van H-V, Koo I-S (2011) A cooperative spectrum sensing scheme with an adaptive energy threshold in cognitive radios. J Inf Commun Convergence Eng 9(4):391–395CrossRefGoogle Scholar
  4. 4.
    Kim H, Shin KG (2008) Efficient discovery of spectrum opportunities with MAC-layer sensing in cognitive radio networks. IEEE Trans Mob Comput 7(5):533–545MathSciNetCrossRefGoogle Scholar
  5. 5.
    Akyildiz IF, Lee W-Y, Chowdhury KR (2009) CRAHNs: cognitive radio ad hoc networks. Ad Hoc Netw 7(5):810–836CrossRefGoogle Scholar
  6. 6.
    Ross SM (2006) Introduction to probability models, 9th edn. Academic Press, New York, pp 417–492Google Scholar
  7. 7.
    Liang Y, Zeng Y, Edward CY, Hoang AT (2008) Sensing-throughput tradeoff for cognitive radio networks. IEEE Trans Wireless Commun 7:1326–1337Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.Department of Mechanical, Electrical and Information EngineeringShandong UniversityWeihaiChina
  2. 2.School of Electrical Electronic and Communication EngineeringKorea University of Technology and EducationChunanKorea

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