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Development of Compressive Sensing Techniques for Wideband Spectrum Scanning in Cognitive Radio Networks
(2016)
  • Fatima Salahdine, university of north dakota
  • Naima Kaabouch, University of North Dakota
  • Hassan El Ghazi, National institute of posts and telecommunications
Abstract
Next generation of communication systems will be smart and frequency agile. They will be able to scan the wideband radio spectrum to find the available frequency channel. This process is called compressive sensing. Existing compressive sensing techniques are not accurate and have high processing time, hardware limitations, and computational cost. Thus, this project aims to develop efficient compressive sensing algorithms that deal with uncertainty and enhance the radio spectrum scanning.
 
 
Keywords
  • cognitive radio; compressive sensing; spectrum sensing
Publication Date
Spring 2016
Citation Information
Fatima Salahdine, Naima Kaabouch and Hassan El Ghazi. "Development of Compressive Sensing Techniques for Wideband Spectrum Scanning in Cognitive Radio Networks" (2016)
Available at: http://works.bepress.com/fatima-salahdine/4/