雾无线接入网中的多层协作缓存方法

蒋雁翔; 夏骋宇

doi:10.11959/j.issn.1000-436x.2019093

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雾无线接入网中的多层协作缓存方法

学术论文 | 更新时间：2024-06-05

- 雾无线接入网中的多层协作缓存方法
- Multi-tier cooperative caching in fog radio access network
- 通信学报 2019年40卷第9期页码：116-123
- 作者机构：
  
  1. 东南大学移动通信国家重点实验室，江苏南京 210096
  2. 香港科技大学电子与计算机工程系，香港 999077
- 作者简介：
  
  [ "蒋雁翔（1977- ），男，山东烟台人，博士，东南大学副教授，主要研究方向为B5G/6G移动通信理论与关键技术、无线大数据智能通信理论与关键技术。" ]
  [ "夏骋宇（1997- ），男，江苏丹阳人，香港科技大学硕士生，主要研究方向为雾无线接入网中的边缘缓存技术等。" ]
- 基金信息：
- DOI：10.11959/j.issn.1000-436x.2019093
  中图分类号： TN915
- 网络出版日期：2019-09，
  
  纸质出版日期：2019-09-25
- 稿件说明：
移动端阅览
蒋雁翔, 夏骋宇. 雾无线接入网中的多层协作缓存方法[J]. 通信学报, 2019,40(9):116-123.

Yanxiang JIANG, Chengyu XIA. Multi-tier cooperative caching in fog radio access network[J]. Journal on communications, 2019, 40(9): 116-123.
蒋雁翔, 夏骋宇. 雾无线接入网中的多层协作缓存方法[J]. 通信学报, 2019,40(9):116-123. DOI： 10.11959/j.issn.1000-436x.2019093.

Yanxiang JIANG, Chengyu XIA. Multi-tier cooperative caching in fog radio access network[J]. Journal on communications, 2019, 40(9): 116-123. DOI： 10.11959/j.issn.1000-436x.2019093.

摘要

针对边缘缓存和雾无线接入技术中降低后传链路负载的问题，提出了一种雾无线接入网中的多层协作缓存方法。考虑网络架构、文件流行度估计、链路容量等因素，将相关的优化问题分解为每个层中缓存布置的背包问题，并分别使用贪心算法求解。仿真结果表明，所提出的多层协作缓存方法能够有效降低后传链路负载，同时具有较高的缓存命中率。

Abstract

Aiming at the problem of reducing the load of the backward link in the edge buffer and fog wireless access network technology

a multi-tier cooperative caching scheme in F-RAN was proposed to further reduce the backhaul traffic load.In particular

by considering the network topology

content popularity prediction and link capacity

the optimization problem was decomposed into knapsack subproblems in multi-tiers

and effective greedy algorithms were proposed to solve the corresponding subproblems.Simulation results show that the proposed multi-tier cooperative caching scheme can effectively reduce the backhaul traffic and achieve relatively high cache hit rate.

关键词

Keywords

references

LI L , ZHAO G , BLUM R S . A survey of caching techniques in cellular networks:research issues and challenges in content placement and delivery strategies [J ] . IEEE Communications Surveys ＆ Tutorials , 2018 , 20 ( 3 ): 1710 - 1732 .

PASCHOSG S , IOSIFIDISG , TAO M , et al . The role of caching in future communication systems and networks [J ] . IEEE Journal on Selected Areas in Communications , 2018 , 36 ( 6 ): 1111 - 1125 .

LI X , WANG X , ZHU C , et al . Caching-as-a-service:virtual caching framework in the cloud-based mobile networks [C ] // Computer Communications Workshops . IEEE , 2015 : 372 - 377 .

JIANG Y , MA M , BENNIS M , et al . User preference learning based edge caching for fog radio access network [J ] . IEEE Transactions on Wireless Communications , 2019 , 67 ( 2 ): 1268 - 1283 .

JIANG Y , HUANG W , BENNIS M , et al . Decentralized asynchronous coded caching design and performance analysis in fog radio access networks [J ] . IEEE Trans on Mobile Computing (Early Access) , 2019 ( 1 ): 1 - 12 .

CUI X , JIANG Y , CHEN X , et al . Graph-based cooperative caching in Fog-RAN [C ] // IEEE ICNC Workshops . IEEE , 2018 : 1 - 6 .

钱志鸿 , 王雪 . 面向 5G 通信网的 D2D 技术综述 [J ] . 通信学报 , 2016 , 37 ( 7 ): 1 - 14 .

QIAN Z H , WANG X . Reviews of D2D technology for 5G communication network [J ] . Journal on Communications , 2016 , 37 ( 7 ): 1 - 14 .

MARTELLO S , TOTH P . Knapsack problems:algorithms and computer implementations [M ] . New York : Wiley PressPress , 1990 .

ZHOU Y , ZHAO Z , LI R , et al . Cooperation-based probabilistic caching strategy in clustered cellular networks [J ] . IEEE Communications Letters , 2017 , 21 ( 9 ):1.

LIU J , BO B , ZHANG J , et al . Content caching at the wireless network edge:a distributed algorithm via belief propagation [C ] // IEEE International Conference on Communications . IEEE , 2016 : 1 - 6 .

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