基于动态加权的无线通信网络服务适配仿真  

Simulation of Service Adaptation for Wireless Communication Network Based on Dynamic Weight

作　　者：陆黎[1] LU Li(Jinshen College,Nanjing Audit University,Jiangsu Nanjing 210000,China)

机构地区：[1]南京审计大学金审学院,江苏南京210000

出　　处：《计算机仿真》2020年第8期113-116,140,共5页Computer Simulation

摘　　要：当前无线通信网络服务适配方法未能实现服务数据的快速准确转换,导致适配误差率与适配耗时高,因此提出基于动态加权的无线通信网络服务适配方法。采用分布式卡尔曼滤波剔除多余通信数据。对无线通信网络各频段的距离特征量值进行动态加权融合,根据实际参考值得到各频段距离特征量值的误差,依据总方差大小,通过最优加权系数分配规律进行权值动态分配,进而进行服务数据的快速准确转换。通过转换后服务数据的轨迹连接及交替,采取重配置处理方法实现无线通信网络服务的精确适配。仿真结果表明,研究方法可以降低网络服务适配误差,减少适配耗时,可应用性好。At present,the service adaptation method of wireless communication network fails to complete fast and accurate conversion of service data,resulting in high error rate.Therefore,a service adaptation method of wireless communication network based on dynamic weight was proposed.The distributed Kalman filtering was used to eliminate redundant communication data.The distance eigenvalues of frequency bands in wireless communication network were dynamically weighted and fused.The errors of distance eigenvalues of each frequency band were obtained by actual reference values.According to total variance,the weights were dynamically allocated by the distribution rule of optimal weighting coefficient,so that the service data could be converted quickly and accurately.Through the connection and alternation for the transformed service data trajectory,the precise adaptation of wireless communication network service was achieved by reconfiguration.Simulation results show that the proposed method can reduce the network service adaption error and reduce the adaption time,so its applicability is better.

关 键 词：动态加权 无线通信网络 服务适配 分布式卡尔曼滤波 数据融合 

分 类 号：TP396[自动化与计算机技术—计算机应用技术]