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针对机器类通信典型应用的主要特征,建立4类系统级业务模型,分别是静止模型、扩展静止模型、随机游走模型、移动模型,并给出各模型中突发数据和信令开销的估计和预测办法.该预测办法可评估不同应用场景下海量机器类通信终端接入网络时运营商面临的承载压力,据此可导出合理的网络规划和优化策略,以提升用户体验.
According to the main features of the typical application of machine communication, four types of system-level business models are established, which are static model, extended static model, random walk model and mobile model respectively. And the estimation of burst data and signaling overhead in each model is given And forecasting method, which can evaluate the bearing pressure faced by operators when mass communication terminals of machines and machines communicate with each other in different application scenarios, and derive reasonable network planning and optimization strategies to enhance the user experience.