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Genetic algorithm based optimised collaborative spectrum sensing

Genetic algorithm based optimised collaborative spectrum sensing

Arshad, Kamran (2009) Genetic algorithm based optimised collaborative spectrum sensing. In: Proceedings of the SDR ’09 Technical Conference and Product Exposition. SDR Forum.

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Abstract

Genetic Algorithm based weighted optimisation strategy for
collaborative spectrum sensing is presented in this paper. It is shown that imperfect reporting channel and different mean SNR of secondary users have direct impact on the performance of collaborative spectrum sensing. Under channel fading, optimum collaborative spectrum sensing problem is formulated as a nonlinear optimisation problem and genetic algorithm is proposed as a solution approach. For a given probability of false alarm and given channel conditions, optimal weights are assigned to the secondary users to maximise global probability of detection at the fusion centre. The simulation result shows that the performance of proposed optimised collaborative spectrum sensing scheme yields higher collaborative gain.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings of the SDR ’09 Technical Conference and Product Exposition
Additional Information: [1] Acknowledgements (funding): This work was performed in the project E3 which has received research funding from the EU FP7 framework.
Uncontrolled Keywords: genetic algorithm
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Related URLs:
Last Modified: 14 Oct 2016 09:30
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/12904

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