在研究异构蜂窝网基站部署及网络性能时，经常使用随机点过程模型，其中泊松点过程模型是一种常用模型. 针对泊松点过程模型中存在多点聚合的现象，引入类Matern 点过程模型，对比分析了使用类Matern 点过程模型与泊松点过程模型时系统的接入概率和系统效能. 结果显示，所用模型能在使用较少资源的情况下显著提
升系统效能. 进一步针对类Matern 点过程模型与泊松点过程模型都存在用户更倾向于接入宏蜂窝的问题，引入一个偏好因子，使得选择毫微微蜂窝的用户更多，从而使网络负载得到均衡，网络性能得以提升.
With the increasing demands of communication and data transmission quality, traditional cellular networks containing single macrocells are gradually replaced by heterogeneous cellular networks consisting of macrocells, picocells, femtocells and relays. Stochastic point process is often used in studying base station deployment and performance analysis of heterogeneous cellular networks. The Poisson point process (PPP) is a popular one. To overcome aggregation of points in the PPP model, we introduce the Matern-like point process (MLPP), and compare it with PPP in terms of coverage probability and system efficiency. Simulation results show that MLPP has better performance with less resource, and therefore can improve system efficiency.
Taking into account that, in both PPP and MLPP, users tend to access macrocells, we introduce a bias factor to balance the load and improve the network performance.
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