摘要
在蜂窝移动通信网络中,用户数量的急剧增长以及其对语音和数据业务需求的不断增加,频谱资源日益紧缺,为了提高频谱的利用率,运用一定的优化算法合理规划频率资源显得尤为重要。针对这一问题,提出一种改进人工鱼群算法的蜂窝网络信道分配方法。简化了基本人工鱼群算法来缩短运行时间,加快收敛速度;利用动态调整人工鱼的视野和步长,较好地平衡算法的全局搜索能力和局部搜索能力;采用高斯变异操作,增加人工鱼群状态的多样性,有利于跳出局部极值点。仿真结果表明,改进后的算法提高了算法的收敛率和加快了收敛速度,能够很好地解决频率分配问题,具有一定的可行性和优越性。
This paper presented an improved artificial fish swarm algorithm for cellular networks, channel allocation method. The basic artificial fish swarm algorithm was simplifed to reduce the run time and speed up the convergence ; dynamic adjustment of vision and step length were used to better balance the global and local search capabilities ; and the Gaussian mutation operator was used to increase the diversity of the state of artificial fish to jump out of local extreme points. Simulation results show that the modified algorithm can solve the frequency assignment problem and improve the convergence rating and convergence speed, and has the feasibility and superiority.
出处
《计算机仿真》
CSCD
北大核心
2013年第6期206-209,共4页
Computer Simulation
基金
中国移动新疆分公司研究发展基金项目(xjm2011-12)
关键词
人工鱼群算法
频率分配
动态步长和视野
高斯变异操作数
提高频谱利用率
：Artificial fish swarm algorithm
Frequency assignment
Dynamic step and vision
Ganssian mutation operator
Spectrum utilization
