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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。
Location management is a key issue in wireless communication environment, and the main factor that affects its system overhead is the design of location area. In this paper, the Gaussian-Markov model is used as a moving model to predict the speed of mobile users in real time through data acquisition and parameter estimation. Then, based on the obtained predictive value, the fuzzy algorithm is applied to different attribute users to optimize the location area, reducing the overhead of system location management signaling. In the increasingly tense wireless network resources, there is good practical significance.