基于小波变换和AAR模型的WMN流量预测方法

在WiMAX Mesh网络中,为了实现对带宽的动态分配和有效利用,需要实时对业务流量进行实时准确预测.WiMAx Mesh 网络调度器将根据该预测值进行带宽分配.经分析,现有包括ARMA在内的流量预测方法并不能直接应用于WiMAX Mesh网络流量的预测中.在对WiMAX Mesh网络流量特性的分析基础上,提出了一种基于小波变换和线性自回归模型相结合的WiMAX Mesh网络流量预测方法.该方法首先对流量信号进行降噪,并将该处理结果用于AAR模型预测.利用Auckland大学的流量数据进行仿真,预测精度比自适应ARMA方法提高约2% .方法的预测精度较高,运算量较小,更适合于对WiMAX Mesh网络进行预测.

Wavelets and AAR Model Based Predicting Algorithm for WMN

To allocate bandwidth in WiMAX mesh Network dynamically and efficiently, need to predict the real-time traffic volume correctly, which will be sent to the mesh scheduler. The mesh scheduler will grant bandwidth to each Mesh node according to the value. By our study, the current predicting method is fornd, including ARMA, is found to be not so proper for using in WiMAX Mesh Network. First of all, the character of traffic in WiMAX MESH Network is analyzed, then a predicting method based on wavelet transform a...