Improved soft fusion-based cooperative spectrum sensing using particle swarm optimization

Mohsen Akbari, Mohsen Riahi Manesh, Ayman A. El-Saleh, Mahamod Ismail

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

In soft-decision fusion- (SDF-) based cooperative spectrum sensing, weighting the coefficients vector is the main factor affecting the detection performance of cognitive radio networks. In this paper, the use of particle swarm optimization (PSO) algorithm as a prominent technique is proposed to optimize the weighting coefficients vector. The proposed PSO-based scheme opts for the best weighting coefficients vector, leading to improved detection performance of the system. The performance of the proposed method is analyzed and compared with genetic algorithm- (GA-) based technique as well as other conventional SDF schemes through computer simulations. Simulation results validate the robustness of the proposed method over all other SDF techniques.

Original languageEnglish
Pages (from-to)436-442
Number of pages7
JournalIEICE Electronics Express
Volume9
Issue number6
DOIs
Publication statusPublished - 25 Mar 2012

Fingerprint

Particle swarm optimization (PSO)
Fusion reactions
fusion
optimization
coefficients
Cognitive radio
genetic algorithms
computerized simulation
Genetic algorithms
Computer simulation
simulation

Keywords

  • Cognitive radio
  • PSO
  • SDF
  • Spectrum sensing

ASJC Scopus subject areas

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

Cite this

Improved soft fusion-based cooperative spectrum sensing using particle swarm optimization. / Akbari, Mohsen; Manesh, Mohsen Riahi; El-Saleh, Ayman A.; Ismail, Mahamod.

In: IEICE Electronics Express, Vol. 9, No. 6, 25.03.2012, p. 436-442.

Research output: Contribution to journalArticle

Akbari, Mohsen ; Manesh, Mohsen Riahi ; El-Saleh, Ayman A. ; Ismail, Mahamod. / Improved soft fusion-based cooperative spectrum sensing using particle swarm optimization. In: IEICE Electronics Express. 2012 ; Vol. 9, No. 6. pp. 436-442.
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