使用Poisson聚类过程对支持缓存的异构网络进行分析建模

IF 7.5 2区计算机科学 Q1 TELECOMMUNICATIONS

Digital Communications and Networks Pub Date : 2024-10-01 DOI:10.1016/j.dcan.2023.01.003

Junhui Zhao , Lihua Yang , Xiaoting Ma , Ziyang Zhang

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引用次数: 0

摘要

双频异构网络（HetNet），包括 6 GHz 以下网络和毫米波（mmWave），可在有热点的网络中实现用户的高数据传输速率。我们使用一个分析框架研究了具有热点的高速缓存支持的 HetNets，在该框架中，宏基站（MBS）和热点中心被视为两个独立的同质泊松点过程（PPP），而小基站（SBS）和用户的位置则被建模为两个泊松簇过程（PCP）。在基于 PCP 的建模方法和最受欢迎缓存（MPC）方案下，我们为存储容量有限的 HetNets 提出了一种缓存关联策略。我们明确推导出了关联概率和覆盖概率的性能，并利用蒙特卡罗仿真验证了结果的正确性。仿真结果表明了天线配置以及 MBS 和 SBS 的缓存容量对网络性能的影响。通过我们的分析，可以对 SBS 和用户关联概率的标准偏差比进行数值优化。

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

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 hotspots. The 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 capacity. The performance of association probability and coverage probability is explicitly derived, and Monte Carlo simulation is utilized to verify that the results are correct. The outcomes of the simulation present the influence of antenna configuration and cache capacities of MBSs and SBSs on network performance. Numerical optimization of the standard deviation ratio of SBSs and users of association probability is enabled by our analysis.

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来源期刊

Digital Communications and Networks Computer Science-Hardware and Architecture

CiteScore

12.80

自引率

5.10%

发文量

915

审稿时长

30 weeks

期刊介绍： Digital Communications and Networks is a prestigious journal that emphasizes on communication systems and networks. We publish only top-notch original articles and authoritative reviews, which undergo rigorous peer-review. We are proud to announce that all our articles are fully Open Access and can be accessed on ScienceDirect. Our journal is recognized and indexed by eminent databases such as the Science Citation Index Expanded (SCIE) and Scopus. In addition to regular articles, we may also consider exceptional conference papers that have been significantly expanded. Furthermore, we periodically release special issues that focus on specific aspects of the field. In conclusion, Digital Communications and Networks is a leading journal that guarantees exceptional quality and accessibility for researchers and scholars in the field of communication systems and networks.