With the rapid development of mobile communication system,the sustainable growth of the user quantity and business category brings new challenges to the system design. For this problem,the application of data mining in user path pre⁃diction technology is studied. The LZ coding prediction scheme is selected to predict the user path of the digital trunking system and simulated. The equipment conditions,application scenarios and user mobile model characteristics of the digital trunking communication system are analyzed to prove its advantages in user path prediction. For the characteristics of the digital trunking communication system,a new dynamic channel reserved algorithm based on path prediction technology is put forward to meet the requirements of system QoS. The proposed scheme is simulated with Matlab,and its performance is compared with that of other schemes. The simulation results show that the new scheme can adjust the system parameters in real⁃time when the business state changes. The call blocking rate of system switching is reduced,and the channel utilization is improved.%随着移动通信系统的快速发展，用户数量和业务种类的持续增长给系统设计带来了新的挑战。针对这种情况，研究了数据挖掘在用户路径预测技术上的应用，选择LZ编码预测方案用于数字集群系统的用户路径预测，并对方案进行了模拟仿真，同时分析了数字集群通信系统设备条件、应用场景和用户移动模型的特点，证明了其在用户路径预测应用上的优势。针对数字集群通信系统的特点，提出一种基于路径预测技术的动态信道预留算法，以满足系统QoS要求。并对提出的方案进行了Matlab仿真研究，与其他方案进行了性能比较，验证了其在业务状态变化下可以通过实时调整系统参数，从而降低系统切换呼叫阻塞率和提高信道利用率。
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