位置管理是无线通信环境下的关键问题,而影响其系统开销的主要因素是位置区 的设计。本文采用高斯-马尔可夫模型作为移动模型,通过数据采集和参数估计来实时预测移动用户的速度。然后根据得到的预测值,针对不同属性用户运用模糊算法进行位置区优化设计,减少系统位置管理信令的开销。在无线网络资源日益紧张的情况下,有很好的实用意义。 关键词: 位置管理,高斯—马尔可夫模型,速度估计,位置区优化 Abstract:As far as we know,Location management is a key problem under a wireless communication environment,and the main factor that influences the system overhead is the design of location area. In this paper, we first choose excellent Gauss-Markov model, then predict the mobile’s speed through selecting data and estimating parameters and finally adopt fuzzy algorithm to optimize the design of location area for different mobile users. The result shows that it can reduce the system overhead for location management. Key words:location management, Gauss-Markov model, speed estimation,optimization design of location area