Energy detection using estimated noise variance for spectrum sensing in cognitive radio networks

Zhuan Ye*, Gokhan Memik, John Grosspietsch

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

130 Scopus citations

Abstract

In this paper, we analyze the performance of spectrum sensing based on energy detection. We do not assume the exact noise variance is known a priori. Instead, an estimated noise variance is used to calculate the threshold used in the spectrum sensing based on energy detection. We propose a new analytical model to evaluate the statistical performance of the energy detection. We claim some characteristics of this model, and analyze how these characteristics affect the performance of spectrum sensing. The analytical results are verified through numerical examples and simulations. Through these examples, we demonstrate the effectiveness of our analytical model: we show how it can be used to set the appropriate threshold such that more spectrum sharing can be facilitated, especially when combined with cooperative spectrum sensing method.

Original languageEnglish (US)
Title of host publicationWCNC 2008 - IEEE Wireless Communications and Networking Conference, Conference Proceedings
Pages711-716
Number of pages6
StatePublished - Sep 18 2008
EventIEEE Wireless Communications and Networking Conference, WCNC 2008 - Las Vegas, NV, United States
Duration: Mar 31 2008Apr 3 2008

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Other

OtherIEEE Wireless Communications and Networking Conference, WCNC 2008
CountryUnited States
CityLas Vegas, NV
Period3/31/084/3/08

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Ye, Z., Memik, G., & Grosspietsch, J. (2008). Energy detection using estimated noise variance for spectrum sensing in cognitive radio networks. In WCNC 2008 - IEEE Wireless Communications and Networking Conference, Conference Proceedings (pp. 711-716). [4489162] (IEEE Wireless Communications and Networking Conference, WCNC).