泊松簇过程部署的窄带蜂窝物联网性能分析

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

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NBIo T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。

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.