Genetic algorithm-assisted soft fusion-based linear cooperative spectrum sensing

Ayman A. El-Saleh, Mahamod Ismail, Mohd Alaudin Mohd Ali

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

In this letter, a cooperative spectrum sensing scheme for cognitive radio networks based on genetic algorithm (GA) is proposed. The proposed scheme lies in optimizing the weighting coefficients vector used in a linear soft-decision fusion- (SDF-) based framework. The detection performance of the proposed GA-assisted SDF-based scheme is compared with the conventional SDF schemes as well as the OR-logic hard-decision fusion (HDF) scheme. The simulation results show that the proposed scheme outperforms all other schemes and can achieve higher probability of detection given the same probability of false alarm.

Original languageEnglish
Pages (from-to)1527-1533
Number of pages7
JournalIEICE Electronics Express
Volume8
Issue number18
DOIs
Publication statusPublished - 2011

Fingerprint

genetic algorithms
Fusion reactions
fusion
Genetic algorithms
false alarms
Cognitive radio
logic
coefficients
simulation

Keywords

  • Cognitive radio
  • Genetic algorithm
  • HDF
  • SDF
  • Spectrum sensing

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Electrical and Electronic Engineering

Cite this

Genetic algorithm-assisted soft fusion-based linear cooperative spectrum sensing. / El-Saleh, Ayman A.; Ismail, Mahamod; Ali, Mohd Alaudin Mohd.

In: IEICE Electronics Express, Vol. 8, No. 18, 2011, p. 1527-1533.

Research output: Contribution to journalArticle

El-Saleh, Ayman A. ; Ismail, Mahamod ; Ali, Mohd Alaudin Mohd. / Genetic algorithm-assisted soft fusion-based linear cooperative spectrum sensing. In: IEICE Electronics Express. 2011 ; Vol. 8, No. 18. pp. 1527-1533.
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