Analytical modeling of cache-enabled heterogeneous networks using Poisson cluster processes

作     者：Junhui Zhao Lihua Yang Xiaoting Ma Ziyang Zhang 

作者机构：School of Electronic and Information EngineeringBeijing Jiaotong UniversityBeijing100044China Lenovo ResearchLenovo Group LimitedBeijing100094China School of Information EngineeringEast China Jiaotong UniversityNanchang330013China 

出 版 物：《Digital Communications and Networks》 (数字通信与网络(英文版))

年 卷 期：2024年第10卷第5期

页      面：1439-1447页

核心收录：

学科分类：08[工学] 0825[工学-航空宇航科学与技术] 

基　　金：supported in part by National Key Research and Development Project under Grant 2020YFB1807204 in part by the National Natural Science Foundation of China under Grant U2001213 and 61971191 in part by the Beijing Natural Science Foundation under Grant L201011 in part by the Key project of Natural Science Foundation of Jiangxi Province under Grant 20202ACBL202006 in part by the Science and Technology Foundation of Jiangxi Province(20202BCD42010) 

主　　题：Heterogeneous networks Millimeter wave Poisson cluster processes Caching Stochastic geometry 

摘      要：The dual frequency Heterogeneous Network(HetNet),including sub-6 GHz networks together with Millimeter Wave(mmWave),achieves the high data rates of user in the networks with *** cache-enabled HetNets with hotspots are investigated using an analytical framework in which Macro Base Stations(MBSs)and hotspot centers are treated as two independent homogeneous Poisson Point Processes(PPPs),and locations of Small Base Stations(SBSs)and users are modeled as two Poisson Cluster Processes(PCPs).Under the PCP-based modeling method and the Most Popular Caching(MPC)scheme,we propose a cache-enabled association strategy for HetNets with limited storage *** performance of association probability and coverage probability is explicitly derived,and Monte Carlo simulation is utilized to verify that the results are *** outcomes of the simulation present the influence of antenna configuration and cache capacities of MBSs and SBSs on network *** optimization of the standard deviation ratio of SBSs and users of association probability is enabled by our analysis.