北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2013, Vol. 36 ›› Issue (3): 74-78.doi: 10.13190/jbupt.201303.jianx

• 研究报告 • 上一篇    下一篇

机器类通信业务建模与流量分析

简鑫, 曾孝平, 张力, 李梦如, 贺渊   

  1. 重庆大学 通信工程学院, 重庆 400000
  • 收稿日期:2012-05-24 出版日期:2013-06-30 发布日期:2013-06-30
  • 作者简介:简 鑫(1987—), 男, 博士生, E-mail: jianxin_zg@163.com; 曾孝平(1956—), 男, 教授, 博士生导师.
  • 基金资助:

    2011年华为公司创新研究计划项目

Service Modeling and Traffic Analysis for Machine Type Communications

JIAN Xin, ZENG Xiao-ping, ZHANG Li, LI Meng-ru, HE Yuan   

  1. School of Communication Engineering, Chongqing University, Chongqing 400000, China
  • Received:2012-05-24 Online:2013-06-30 Published:2013-06-30

摘要:

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.

关键词: 机器与机器通信, 机器类通信, 业务建模, 流量分析

Abstract:

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.

Key words: machine to machine communication, machine type communications, service modeling, traffic analysis

中图分类号: