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 |
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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 / School / Research Centre / Research Group: | Faculty of Engineering & Science |
Related URLs: | |
Last Modified: | 13 Nov 2019 15:37 |
URI: | http://gala.gre.ac.uk/id/eprint/12904 |
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