Skip to main content
SpringerLink
Log in

Intelligent Decision Making with Improved Energy Detection for Precise Spectrum Sensing in Cognitive Radios

  • Conference paper
  • First Online:
Artificial Intelligence and Evolutionary Algorithms in Engineering Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 325))

  • 2166 Accesses

Abstract

Energy detection is best suited for the spectrum sensing when prior knowledge about the licensed user is unavailable. The performance of this technique is primarily influenced by the available test statistic, number of samples used to compute the test statistic and the decision threshold and described in terms of probability of detection and false alarm. This paper focuses on an intelligent sensing scheme with improved energy detection algorithm in which the test statistic is computed using an arbitrary positive power instead of squaring operation. The detection performance is found to be considerably improved compared to the traditional energy detection algorithm. Simulations are performed, and the results confirm the accuracy of the analysis.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. F. Akyildiz, W.Y. Lee, S. Mohanty, Next generation/dynamic spectrum access/cognitive radio wireless networks: a survey. Comput. Netw. J. (Elsevier) 50, 2127–2159 (2006)

    Google Scholar 

  2. T. Arslan, A survey of spectrum sensing algorithms for cognitive radio applications. Commun. Surv. Tutor. IEEE. 11(1), 116–130 (First Quarter 2009)

    Google Scholar 

  3. H. Urkowitz, Energy detection of unknown deterministic signals. Proc. IEEE. 55, 523–531 (1967)

    Google Scholar 

  4. M. López-Benítez, F. Casadevall, Improved energy detection spectrum sensing for cognitive radio. Commun. IET 6(8), 785–796 (2012)

    Article  Google Scholar 

  5. Y. Chen, Improved energy detector for random signals in Gaussian noise. IEEE Trans. Wirel. Commun. 9(2), 558–563

    Google Scholar 

  6. J. Song, Z. Feng, P. Zhang, Z. Liu, Spectrum sensing in cognitive radios based on enhanced energy detector. Commun. IET 6(8), 805–809 (2012)

    Article  MathSciNet  Google Scholar 

  7. Federal Communications Commission, Spectrum policy task force report (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of ECE, SSN College of Engineering, Chennai, India

    K. Muthumeenakshi, S. Radha, R. Sudharsana & R. Tharini

Authors
  1. K. Muthumeenakshi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. S. Radha
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. R. Sudharsana
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. R. Tharini
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to K. Muthumeenakshi .

Editor information

Editors and Affiliations

  1. Electrical & Electronics Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, Tamil Nadu, India

    L Padma Suresh

  2. Electrical and Electronics Engineering, SRM Engineering College, Kattankulathur, Tamil Nadu, India

    Subhransu Sekhar Dash

  3. Electrical Engineering, IIT Delhi, New Delhi, Delhi, India

    Bijaya Ketan Panigrahi

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer India

About this paper

Cite this paper

Muthumeenakshi, K., Radha, S., Sudharsana, R., Tharini, R. (2015). Intelligent Decision Making with Improved Energy Detection for Precise Spectrum Sensing in Cognitive Radios. In: Suresh, L., Dash, S., Panigrahi, B. (eds) Artificial Intelligence and Evolutionary Algorithms in Engineering Systems. Advances in Intelligent Systems and Computing, vol 325. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2135-7_33

Download citation

  • DOI: https://doi.org/10.1007/978-81-322-2135-7_33

  • Published:

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2134-0

  • Online ISBN: 978-81-322-2135-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation