Performance analysis of energy and eigenvalue based detection for spectrum sensing in Cognitive Radio network

Sheetal Ashish Jain, Madhukar M. Deshmukh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

Cognitive Radio (CR) has recently been active area of research because of its ability to opportunistically share the spectrum. Spectrum sensing is an important functionality of cognitive radio by which the CR can sense the spectrum in nearly real time and provide knowledge of white spaces in the spectrum. It is desired in general to sense the primary signal at very low signal strength i.e. low Signal to Noise ratio (SNR) especially when the CR network (CRN) is to be operated on TV white spaces. Various detection algorithms have been researched in different conditions. This paper presents the performance analysis of energy detector and Eigen Value Based (EBD) detector in presence of very low SNRs.

Original languageEnglish
Title of host publication2015 International Conference on Pervasive Computing
Subtitle of host publicationAdvance Communication Technology and Application for Society, ICPC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479962723
DOIs
StatePublished - 15 Apr 2015
Externally publishedYes
Event2015 International Conference on Pervasive Computing, ICPC 2015 - Pune, India
Duration: 8 Jan 201510 Jan 2015

Publication series

Name2015 International Conference on Pervasive Computing: Advance Communication Technology and Application for Society, ICPC 2015

Conference

Conference2015 International Conference on Pervasive Computing, ICPC 2015
Country/TerritoryIndia
CityPune
Period8/01/1510/01/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • Cognitive radio (CR)
  • eigenvalue based detection (EBD)
  • energy detection
  • spectrum sensing

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