遗传算法在UMTS自动小区规划中的应用  

Application of genetic algorithm in UMTS automatic cell planning

作　　者：刘计永 张蕾[2] 

机构地区：[1]中国移动河北分公司,河北石家庄050000 [2]北京邮电大学信息与通信工程学院,北京100876

出　　处：《传感器与微系统》2016年第8期148-150,154,共4页Transducer and Microsystem Technologies

摘　　要：针对需要高维优化的通用移动通信系统(UMTS)无线网络自动小区规划(ACP)问题,应用了改进的遗传算法。该算法用特殊的正交方法产生初始解,采用精英选择策略,并自适应地改变交叉概率和变异概率的值。仿真结果显示:相对于其他遗传算法,该算法的性能有较大的提升,可以更加有效地找到高维UMTS-ACP问题的优化解。Aiming at problem of wireless network automatic cell planning（ ACP） of a high-dimensionally optimizing universal mobile telecommunications system（ UMTS）,is used improved genetic algorithm This algorithm adopts a special orthogonal method to give initial solutions,use the elitist selection strategy and adaptively changes the values of crossover probabilities and mutation probabilities. The simulation results show that the performance of the algorithm is significantly upgraded compared with other genetic algorithms,and the optimal solutions to high-dimensional UMTS-ACP issue can be found more effectively.

关 键 词：无线网络优化 通用移动通信系统 遗传算法 

分 类 号：TN929.5[电子电信—通信与信息系统]