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Maximum Eigenvalue Based Detection Using Jittered Random Sampling

  • Asmaa Maali
  • Sara Laafar
  • Hayat Semlali
  • Najib Boumaaz
  • Abdallah Soulmani
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 27)

Abstract

Cognitive radio (CR) technology has been proposed as a solution for the issue of spectrum under-utilization in wireless communication. It is designed to facilitate effective utilization of the spectrum and to provide highly reliable communication for all the network users. As it is presented in the literature, spectrum sensing (SS) is the important function to establish cognitive radio networks. In this paper, we investigate the effect of random sampling on the maximum eigenvalue based detection. The performance of this approach is evaluated in terms of its receiver operating characteristic curve (ROC curve) based on Monte-Carlo simulation and its probability of detection for different values of signal to noise ratio (SNR) and of smoothing factor L. Obtained results give a probability of detection PD = 1 which shows that it is possible to perform a spectrum sensing method by applying random sampling.

Keywords

Cognitive radio Jittered random sampling Maximum eigenvalue detector Random sampling Spectrum sensing 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Asmaa Maali
    • 1
  • Sara Laafar
    • 1
  • Hayat Semlali
    • 1
  • Najib Boumaaz
    • 1
  • Abdallah Soulmani
    • 1
  1. 1.Department of Physics, Laboratory of Electrical Systems and Telecommunications, Faculty of Sciences and TechnologyCadi Ayyad UniversityMarrakechMorocco

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