Biologically-inspired soft fusion scheme for cooperative spectrum sensing in cognitive radio networks

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cognitive radio (CR) is considered as a key enabling technology for opportunistic access of spectrum holes and to increase efficiency of bandwidth utilization. In this paper, a continuous genetic algorithm (CGA)-based soft decision fusion (SDF) scheme for cooperative spectrum sensing in cognitive radio network is proposed to improve detection performance. The CGA-based optimization engine is implemented at the fusion center of a linear SDF scheme to optimize the weighting coefficients vector such that the global probability of detection is maximized. Simulation results and analysis confirm that the proposed scheme is efficient and stable and it outperforms conventional natural deflection coefficient- (NDC-), modified deflection coefficient- (MDC-), maximal ratio combining- (MRC-) and equal gain combining- (EGC-) based SDF schemes as well as the OR-rule based hard decision fusion (HDF). The proposed scheme also shows good convergence performance which means that it can meet timing requirements in such a real-time application.

Original languageEnglish
Title of host publication7th International Conference on Information Technology and Application, ICITA 2011
Pages239-244
Number of pages6
Publication statusPublished - 2011
Event7th International Conference on Information Technology and Application, ICITA 2011 - Sydney, NSW
Duration: 21 Nov 201124 Nov 2011

Other

Other7th International Conference on Information Technology and Application, ICITA 2011
CitySydney, NSW
Period21/11/1124/11/11

Fingerprint

Cognitive radio
Fusion reactions
Genetic algorithms
Engines
Bandwidth

Keywords

  • Cognitive radio
  • Continuous genetic algorithm
  • Decision fusion
  • Spectrum sensing

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

El-Saleh, A. A., Ismail, M., Ali, M. A. M., & Hossain, M. K. (2011). Biologically-inspired soft fusion scheme for cooperative spectrum sensing in cognitive radio networks. In 7th International Conference on Information Technology and Application, ICITA 2011 (pp. 239-244)

Biologically-inspired soft fusion scheme for cooperative spectrum sensing in cognitive radio networks. / El-Saleh, Ayman A.; Ismail, Mahamod; Ali, Mohd Alaudin Mohd; Hossain, Md Kamal.

7th International Conference on Information Technology and Application, ICITA 2011. 2011. p. 239-244.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

El-Saleh, AA, Ismail, M, Ali, MAM & Hossain, MK 2011, Biologically-inspired soft fusion scheme for cooperative spectrum sensing in cognitive radio networks. in 7th International Conference on Information Technology and Application, ICITA 2011. pp. 239-244, 7th International Conference on Information Technology and Application, ICITA 2011, Sydney, NSW, 21/11/11.
El-Saleh AA, Ismail M, Ali MAM, Hossain MK. Biologically-inspired soft fusion scheme for cooperative spectrum sensing in cognitive radio networks. In 7th International Conference on Information Technology and Application, ICITA 2011. 2011. p. 239-244
El-Saleh, Ayman A. ; Ismail, Mahamod ; Ali, Mohd Alaudin Mohd ; Hossain, Md Kamal. / Biologically-inspired soft fusion scheme for cooperative spectrum sensing in cognitive radio networks. 7th International Conference on Information Technology and Application, ICITA 2011. 2011. pp. 239-244
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