基于改进NSGA-Ⅱ的异构无线网络并行调度模型及仿真研究  

Research on parallel scheduling model and simulation of heterogeneous wireless network based on improved NSGA-Ⅱ timu

作　　者：郭怡[1] 吴琼[1] GUO Yi;WU Qiong(Xi’an Technological University,Xi’an 710021,China)

机构地区：[1]西安工业大学,西安710021

出　　处：《自动化与仪器仪表》2020年第10期31-34,共4页Automation & Instrumentation

基　　金：陕西省西安市未央区科技计划项目:手持口内数字化印模仪设计与开发(No.201836)。

摘　　要：Macro/Femtocell异构网络在解决信号覆盖盲点方面,有着非常独到的优势,但双层Femtocell异构网络整体性能不佳,成为当前解决的重点。对此,以双层Femtocell异构网络作为研究对象,结合双层Femtocell异构网络的特点,构建双层Femtocell异构网络能耗模型,并构建双层Femtocell异构网络资源优化模型。为求解该模型,引入NSGA-Ⅱ遗传算法对模型进行求解。结果表明,采用NSGA-Ⅱ算法可求解出异构网络的最优参数,并得到最佳的能耗比。Macro/femtocell heterogeneous network has unique advantages in solving the problem of signal coverage busy points,but the overall performance of double-layer femtocell heterogeneous network is poor,which has become the focus of the current solution.In this paper,the dual level femtocell heterogeneous network is taken as the research object,combined with the characteristics of the dual level femtocell heterogeneous network,the energy consumption model of the dual level femtocell heterogeneous network is constructed,and the resource optimization model of the dual level femtocell heterogeneous network is constructed.In order to solve the model,NSGA-Ⅱgenetic algorithm is introduced.The results show that NSGA-Ⅱalgorithm can solve the optimal parameters of heterogeneous networks and get the optimal energy consumption ratio.

关 键 词：NSGA-Ⅱ算法 异构网络 资源优化模型 能耗 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]