Cognitive radio resource allocation based on coupled chaotic genetic algorithm

• Published in: Chinese physics B Vol. 19; no. 11; pp. 704 - 711
• Main Author: 俎云霄 周杰 曾昶畅
• Format: Journal Article
• Language: English
• Published: IOP Publishing 01.11.2010
• Subjects: Logistic映射; 动态分配算法; 混沌遗传算法; 简单遗传算法; 认知无线电; 资源分配; 资源配置
• ISSN: 1674-1056; 2058-3834
• DOI: 10.1088/1674-1056/19/11/119501

A coupled chaotic genetic algorithm for cognitive radio resource allocation which is based on genetic algorithm and coupled Logistic map is proposed. A fitness function for cognitive radio resource allocation is provided. Simulations are conducted for cognitive radio resource allocation by using the coupled chaotic genetic algorithm, simple genetic algorithm and dynamic allocation algorithm respectively. The simulation results show that, compared with simple genetic and dynamic allocation algorithm, coupled chaotic genetic algorithm reduces the total transmission power and bit error rate in cognitive radio system, and has faster convergence speed.