Cognitive radio resource allocation based on coupled chaotic genetic algorithm

被引：18
作者：
Zu Yun-Xiao [1 ]
Zhou Jie [1 ]
Zeng Chang-Chang [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, Sch Elect Engn, Beijing 100876, Peoples R China
来源：
CHINESE PHYSICS B | 2010年 / 19卷 / 11期
基金：
国家高技术研究发展计划(863计划);
关键词：
cognitive radio; chaotic genetic algorithm; resource allocation; coupled Logistic map; UNKNOWN-PARAMETERS; POWER ALLOCATION; LORENZ SYSTEM; TIME-SERIES; SYNCHRONIZATION; PREDICTION; MODEL; IMPLEMENTATION; INTERMITTENCY; OPTIMIZATION;
D O I：
10.1088/1674-1056/19/11/119501
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
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
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页数：8
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