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Spectrum Sensing in Cognitive Radio Systems using Energy Detection:  
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences.
2011 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Cognitive radio is a low-cost communication system, which can choose the available frequencies and waveforms automatically on the premise of avoiding interfering the licensed users. The spectrum sensing is the key enabling technology in cognitive radio networks. It is able to fill voids in the wireless spectrum and can dramatically increase spectral efficiency.

 

In this thesis, the author use matlab to simulate the received signals from the cognitive radio networks and an energy detector to detect whether the spectrum is being used. The report also compares the theoretical value and the simulated result and then describes the relationship between the signal to noise ratio (SNR) and the detections. At last, the method, energy detection and simulation and result are discussed which is considered as the guidelines for the future work. 

Place, publisher, year, edition, pages
2011. , 23 p.
Keyword [en]
Cognitive radio, spectrum sensing, energy detector
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hig:diva-10789Archive number: TEX110607OAI: oai:DiVA.org:hig-10789DiVA: diva2:451175
Subject / course
Electronics
Educational program
Electronics – bachelor’s programme (in eng)
Uppsok
Technology
Supervisors
Examiners
Available from: 2011-10-26 Created: 2011-10-25 Last updated: 2011-10-26Bibliographically approved

Open Access in DiVA

Spectrum Sensing in Cognitive Radio Systems using Energy Detection(974 kB)3867 downloads
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File name FULLTEXT02.pdfFile size 974 kBChecksum SHA-512
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Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf