基于Fluid-Flow和Gauss-Markov混合模型的位置管理性能评估

Performance Evaluation for Location Management Based on Hybrid Model of Fluid-flow and Gauss-Markov

针对现有的Fluid-Flow移动模型难以拟合PCS网络中随机游走行为的问题。设计一种基于Fluid-Flow和Gauss-Markov的混合模型。该模型应用Gauss-Markov随机过程理论,将速度离散化,确定前后速度关联度参数,从而能模拟不同运动特征的移动终端。通过Matlab数值仿真,模拟PCS网络应用场景,较单纯基于Fluid-Flow模型的位置管理方法能大幅度减小系统开销,证明该模型更适于复杂位置管理性能评估。

Aiming at the problem that current Fluid-Flow model is not suitable for random walk behavior in PCS networks,a hybrid model of Fluid-flow and Gauss-Markov is proposed.This model based on the theory of Guass-Markov stochastic process separates the speed,determines the memory parameter of speed to imitate MT with different mobile feature.Simulated in PCS networks,the numerical analysis by Matlab showed that it can decrease the cost of system compared with the location management scheme based on Fluid-Flow model,which has proved that the model is more useful to evaluate the performance of complicated location management.