Cognitive Radio Decision Engine Based on Multi-Objective Genetic Algorithm

Di Wu; Sheng Yao Yang; J.C. Liu

doi:10.4028/www.scientific.net/AMM.48-49.314

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 48-49Cognitive Radio Decision Engine Based on...

Cognitive Radio Decision Engine Based on Multi-Objective Genetic Algorithm

Abstract:

The performance optimization of cognitive radio is a multi-objective optimization problem. Existing genetic algorithms are difficult to assign the weight of each objective when the linear weighting method is used to simplify the multi-objective optimization problem into a single objective optimization problem. In this paper, we propose a new cognitive decision engine algorithm using multi-objective genetic algorithm with population adaptation. A multicarrier system is used for simulation analysis, and experimental results show that the proposed algorithm is effective and meets the real-time requirement.

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Periodical:

Applied Mechanics and Materials (Volumes 48-49)

Pages:

314-317

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.48-49.314

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Online since:

February 2011

Authors:

Di Wu, Sheng Yao Yang, J.C. Liu

Keywords:

Cognitive Radio (CR), Decision Engine, Multi-Objective Genetic Algorithm

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