摘要
为提高蜂窝移动通信系统的频谱利用率,提出一种基于混洗蛙跳算法的频率分配方法。采用改进的最小间隔编码机制和选择性变异技术,加强全局最小搜索能力并提高算法收敛效率。实验结果表明,与微正则退火算法相比,该方法在频率分配问题上的搜索能力更强,在21小区系统中,能使可用频率数目从70个降至51个。
In order to utilize the available frequencies efficiently in cellular mobile communication network,this paper proposes a frequency allocation approach based on Shuffled Frog-leaping Algorithm(SFLA).The improved minimum separation encoding scheme and selective mutation technique are put forward.It can take good advantage of the mutation to search the global minimum and enhance the convergence rate.Experimental results indicate that,compared with microcanonical annealing algorithm,the proposed approach has more powerful search capability in frequency allocation.In the 21-cell cellular network,the number of available frequencies are reduced to 51 from 70.
出处
《计算机工程》
CAS
CSCD
北大核心
2011年第21期133-135,共3页
Computer Engineering
基金
中国移动新疆分公司研究发展基金资助项目
关键词
混洗蛙跳算法
固定信道分配
组合优化
共地约束
邻信道约束
Shuffled Frog-leaping Algorithm(SFLA)
Fixed Channel Allocation(FCA)
combinatorial optimization
Co-site Constraint(CSC)
Adjacent Channel Constraint(ACC)