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雾网络中基于统计分布的内容缓存与交付方案

陈昊宇 胡宏林

电讯技术2023,Vol.63Issue(12):1902-1910,9.
电讯技术2023,Vol.63Issue(12):1902-1910,9.DOI:10.20079/j.issn.1001-893x.220419009

雾网络中基于统计分布的内容缓存与交付方案

Content Caching and Delivery Policy with Frequency Distribution in Fog Radio Access Networks

陈昊宇 1胡宏林2

作者信息

  • 1. 中国科学院上海高等研究院,上海 201210||中国科学院大学 电子电气与通信工程学院,北京 100049
  • 2. 中国科学院上海高等研究院,上海 201210
  • 折叠

摘要

Abstract

As an important model in 5G,the Fog Radio Access Network(F-RAN)achieves significant performance gains through technique among device-to-device(D2D)communications and wireless relays.Especially,caching appropriately in the edge devices allows content caching users(CUs)to send content to content requesting users(RUs)directly,which effectively reduces the burden of the fronthaul and download delay.The authors consider a scenario where users send content requests and get delivered under the F-RAN model.By modeling the content request queue at each CU as an independent M/D/1 queue model,the authors analyze and derive the cache hit probability of CUs and average download delay expressions under content caching and delivery policies.It is proved that the relationship between the cache hit probability of CUs and content frequency distribution can help realizing the approximate optimal solution of the former.On this basis,the authors establish an optimization problem under the expectation perspective over some time and propose a frequency distribution(FD)-based algorithm with delivery control when implementing to solve it.The simulation results show that compared with the existing caching policies,the policy optimizing the FD of all content can maximize the cache hit probability of CUs and reduce the average download delay.

关键词

5G/雾无线接入网络(F-RAN)/雾计算/终端直通(D2D)/内容缓存

Key words

5G/fog radio access network(F-RAN)/fog computing/device-to-device(D2D)/content caching

分类

信息技术与安全科学

引用本文复制引用

陈昊宇,胡宏林..雾网络中基于统计分布的内容缓存与交付方案[J].电讯技术,2023,63(12):1902-1910,9.

基金项目

国家重点研发计划(2020YFB1806606) (2020YFB1806606)

国家自然科学基金资助项目(61801460) (61801460)

电讯技术

OA北大核心CSTPCD

1001-893X

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