机器类通信业务建模与流量分析

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.

Service Modeling and Traffic Analysis for Machine Type Communications

Machine type communications (MTC), defined as machine to machine communication over cellular mobile network is an integral part of future ubiquitous network and has broad application prospects and market potential. According to the typical application scenarios and features of MTC described in 3GPP TS 22. 368, four service models for MTC are proposed, namely non-mobility model, extended non-mobility model, low mobility model and full mobile model. The traffic flow and signaling overhead estimating method is developed to assess the bearing capacity requirement of operators’ networks under massive concurrent access from MTC devices, which is of prime important for designing efficient network planning and optimization strategies to enhance network performance and user experience.