Paper Title:
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.

  Info
Periodical
Edited by
Zhixiang Hou
Pages
314-317
DOI
10.4028/www.scientific.net/AMM.48-49.314
Citation
D. Wu, S. Y. Yang, J.C. Liu, "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
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