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Coverage Probability Analysis of Three-tier Heterogeneous Networks Based on Poisson Cluster Process

机译:基于泊松集群过程的三层异构网络覆盖概率分析

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According to the problem of dense deployment of user-centric small base station in urban environment hotspot areas, this paper constructed a three-tier independent network model based on the combined Poisson cluster process and Poisson hole process. The network model consisted of FBSs, PBSs, MBSs and UEs. In order to restrict the serious transmission interference of intra-tier and inter-tier, we propose a shared spectrum allocation scheme based on user cluster classification. Firstly, we described the classification process of the user cluster in detail; Secondly, the statistical characteristics of UE interference and downlink coverage probability in heterogeneous networks are derived by using random geometry theory; Finally, through simulation experiments, we analyzed the influence of transmission power and PBSs’ coverage radius on coverage probability. The simulation results show that the coverage radius of PBS has a greater influence on the coverage probability.
机译:根据城市环境热点区域密集部署的问题,该论文基于泊松群流程和泊松孔工艺构建了三层独立网络模型。网络模型由FBS,PBS,MBS和UE组成。为了限制层内和层间的严重传输干扰,我们提出了一种基于用户群集分类的共享频谱分配方案。首先,我们详细描述了用户群集的分类过程;其次,通过使用随机几何理论来源的UE干扰和下行链路覆盖概率的统计特征;最后,通过仿真实验,我们分析了传输功率和PBSS覆盖半径对覆盖概率的影响。仿真结果表明,PBS的覆盖率半径对覆盖概率产生了更大的影响。

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