Cognitive Radio Decision Engine Based on Multi-Objective Genetic Algorithm

Abstract:

Article Preview

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.

Info:

Periodical:

Edited by:

Zhixiang Hou

Pages:

314-317

DOI:

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

Citation:

D. Wu et al., "Cognitive Radio Decision Engine Based on Multi-Objective Genetic Algorithm", Applied Mechanics and Materials, Vols. 48-49, pp. 314-317, 2011

Online since:

February 2011

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.