摘要： 针对大规模热点通信场景中用户设备（UE）和基站空间的相关性描述问题，构建基于泊松簇过程的毫米波异构网络模型，并提出一种基于微微基站（PBS）最近距离比的UE簇分类方案。根据毫米波传输模型和路径损耗模型，由随机几何理论推导毫米波异构网络中UE簇的级联概率和下行链路（DL）频谱效率的表达式。分析发射功率、UE簇分类因子、PBS分布最大值对级联概率的影响，并比较泊松簇分布用户和传统泊松点均匀分布用户的频谱效率。仿真结果表明，与传统的基于泊松点过程的网络模型相比，该方案明显提高了系统模型的DL频谱效率。

关键词: 异构网络, 毫米波, 泊松簇过程, 级联概率, 频谱效率

Abstract: To address the problem of describing the correlation between User Equipment(UE) and base station space in large-scale hot spot communication scenarios,this paper constructs a millimeter wave heterogeneous network model based on Poisson Cluster Process(PCP),and proposes a UE cluster classification scheme based on the nearest distance ratio of the Pico Base Station(PBS).According to the millimeter wave transmission model and path loss model,the expressions of the association probability of the UE cluster and the spectral efficiency of Down Links(DL) in millimeter wave heterogeneous networks are derived from the random geometry theory.The influence of transmission power,classification factor of UE cluster,maximum of PBS distribution on the association probability is analyzed,and the spectrum efficiency of users with Poisson cluster distribution and users with traditional Poisson point uniform distribution is compared.Simulation results show that compared with the traditional network model based on the Poisson Point Process(PPP),the proposed scheme significantly improves the DL spectral efficiency of the system model.

Key words: heterogeneous network, millimeter wave, Poisson Cluster Process(PCP), association probability, spectral efficiency

中图分类号: 

• TP391