北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2021, Vol. 44 ›› Issue (4): 109-114.doi: 10.13190/j.jbupt.2020-264

• 研究报告 • 上一篇    下一篇

泊松簇过程部署的窄带蜂窝物联网性能分析

王洪明1, 姚媛媛1, Wei Xiang2, 李学华1   

  1. 1. 北京信息科技大学 信息与通信工程学院, 北京 100101;
    2. 澳大利亚乐卓博大学 工程和数学学院, 墨尔本 3086
  • 收稿日期:2020-12-09 发布日期:2021-07-13
  • 通讯作者: Wei Xiang (1975-),男,教授,E-mail:w.xiang@latrobe.edu.au. E-mail:w.xiang@latrobe.edu.au
  • 作者简介:王洪明(1996-),女,硕士生.
  • 基金资助:
    北京市自然科学基金-海淀原始创新联合基金项目(L192022,L182032,L182039);北京市自然科学基金-市教委联合项目(KZ201911232046);北京市教委科研计划项目(KM202011232002);泛网无线通信教育部重点实验室项目(BUPT)(KFKT-2020105)

Performance Analysis of Narrowband Internet of Things Deployed in Poisson Cluster Process

WANG Hong-ming1, YAO Yuan-yuan1, Wei Xiang2, LI Xue-hua1   

  1. 1. School of Information and Communication Engineering, Beijing University of Information Science and Technol, Beijing 100101, China;
    2. School of Engineering and Mathematics, La Trobe University, Melbourne 3086, Australia
  • Received:2020-12-09 Published:2021-07-13

摘要: 针对窄带物联网(NB-IoT)与蜂窝移动网同频共存网络,借助随机几何理论工具,采用泊松簇过程建模NB-IoT用户节点位置,推导了异构网络上行链路的中断概率和用户传输容量的解析表达式,探究了簇半径以及NB-IoT基站部署密度对网络中断性能和用户传输容量的影响,对比了基于泊松点过程建模异构网络的中断性能.理论分析和仿真结果表明,调整簇半径和NB-IoT基站的部署密度能够有效提升共存网络的中断性能和用户传输容量.

关键词: 窄带物联网, 蜂窝移动网络, 泊松簇过程, 中断概率

Abstract: The co-frequency coexistence design of narrowband Internet of things (NB-IoT) and cellular networks isstudied. Based on the stochastic geometrytheorem, the location of an NB-IoT user node is modeled by the Poisson cluster process. In addition, analytical expressions of the outage probability and the transmission capacity are derived. Moreover, the outage performance of the heterogeneous network is compared with that of the network modeled by Poisson point process. The impacts of the cluster radius and the density of NB-IoT base stations on the outage performance and the network capacity arealso evaluated. Analytical and numerical results demonstrate that the outage performance and the capacity of the coexistence network can be effectively enhanced by adjusting the cluster radius and the density of NB-IoT base stations.

Key words: narrowband Internet of things, cellular mobile network, Poisson cluster process, outage probability

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