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5G标准下的蜂窝网络正在向异构化、超密集化的方向发展,传统的基于六边形网格模型的研究方法较为理想化且并不精确,越来越不适用于如今的异构网络.针对这个问题,目前常用的方法是使用基于随机几何的泊松点过程来研究异构网络的基站部署,这种方法假设基站的空域分布完全随机,因此得到了覆盖概率的理论下界.但是由于宏蜂窝边缘(盲区)以及热点地区(忙区)等特殊区域中,站点的分布可能形成簇,此时,基于泊松点过程的空域分布将不再准确.针对这个问题,本文使用泊松簇过程研究三层异构蜂窝网络的基站部署与规划.首先,提出基于泊松簇过程的基站部署系统模型,讨论了基于簇分布的基站形成过程;其次,在充分分析用户受到的聚集干扰基础上,采用基于瞬时信干噪比的小区选择机制,推导出了中断概率模型,并讨论了三种特殊条件下的中断概率;最后,通过仿真对比分析了基于泊松簇过程与泊松点过程的中断概率的差异以及信干噪比阈值变化时的中断概率的变化曲线,证明了基于簇的空域基站部署具有更低的中断概率.
The cellular networks under the 5G standard are developing in the direction of isomerization and ultra-intensive. The traditional research methods based on the hexagonal mesh model are more idealized and inaccurate, more and more unsuitable for today’s heterogeneous networks To solve this problem, the commonly used method at present is to study the deployment of base stations in heterogeneous networks by using Poisson point process based on stochastic geometry. This method assumes that the spatial distribution of base stations is completely random, so the theoretical lower bound of coverage probability is obtained. However, In the special area such as macrocell edge (blind area) and hot area (busy area), the distribution of stations may form clusters, and the spatial distribution based on Poisson point process will no longer be accurate.In this paper, Poisson clusters The paper studies the base station deployment and planning based on Poisson cluster process and discusses the base station formation process based on cluster distribution.Secondly, on the basis of fully analyzing the agglomeration interference of users, , Using the cell selection mechanism based on instantaneous SINR, we derive the probability model of the outage and discuss the probability of outage in three special conditions. Finally, Simulation results show that the deployment probability of the cluster-based airspace base station is lower than that of the Poisson cluster process and the discontinuity probability when the SINR threshold is changed.