车联网中基于MEC的V2X协同缓存和资源分配

李方伟; 张海波; 王子心

doi:10.11959/j.issn.1000-436x.2021007

您当前的位置：

首页 >

文章列表页 >

车联网中基于MEC的V2X协同缓存和资源分配

学术论文 | 更新时间：2024-06-05

- 车联网中基于MEC的V2X协同缓存和资源分配
- V2X collaborative caching and resource allocation in MEC-based IoV
- 通信学报 2021年42卷第2期页码：26-36
- 作者机构：
  
  1. 重庆邮电大学通信与信息工程学院，重庆 400065
  2. 移动通信教育部工程研究中心，重庆 400065
  3. 移动通信技术重庆市重点实验室，重庆 400065
- 作者简介：
  
  [ "李方伟（1960- ），男，重庆人，博士，重庆邮电大学教授、博士生导师，主要研究方向为无线资源管理。" ]
  [ "张海波（1979- ），男，重庆人，博士，重庆邮电大学副教授、硕士生导师，主要研究方向为车联网。" ]
  [ "王子心（1995- ），女，重庆人，重庆邮电大学硕士生，主要研究方向为车联网、移动边缘计算。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61801065);国家自然科学基金资助项目(61601071);长江学者和创新团队发展计划基金资助项目(IRT16R72);重庆市基础与前沿基金资助项目(cstc2018jcyjAX0463)
- DOI：10.11959/j.issn.1000-436x.2021007
  中图分类号： TN929.5
- 网络出版日期：2021-02，
  
  纸质出版日期：2021-02-25
- 稿件说明：
移动端阅览
李方伟, 张海波, 王子心. 车联网中基于MEC的V2X协同缓存和资源分配[J]. 通信学报, 2021,42(2):26-36.

Fangwei LI, Haibo ZHANG, Zixin WANG. V2X collaborative caching and resource allocation in MEC-based IoV[J]. Journal on communications, 2021, 42(2): 26-36.
李方伟, 张海波, 王子心. 车联网中基于MEC的V2X协同缓存和资源分配[J]. 通信学报, 2021,42(2):26-36. DOI： 10.11959/j.issn.1000-436x.2021007.

Fangwei LI, Haibo ZHANG, Zixin WANG. V2X collaborative caching and resource allocation in MEC-based IoV[J]. Journal on communications, 2021, 42(2): 26-36. DOI： 10.11959/j.issn.1000-436x.2021007.

摘要

针对车联网的多媒体业务快速增长，大量的数据交换为移动网络带来沉重负担的问题，构建了一种车联网中基于移动边缘计算的V2X协同缓存和资源分配框架。提出了V2X协同缓存与资源分配机制，实现网络内计算、缓存和通信资源的有效分配；利用图着色模型为卸载用户分配信道；采用拉格朗日乘子法对功率与计算资源进行分配。仿真结果表明，在不同的系统参数下，所提机制可以有效降低系统开销，减少任务完成时延。

Abstract

Aiming at the problem that with the rapidly increasing of multimedia services in IoV

a large amount of data change has bought a heavy burden on the mobile networks

a V2X collaborative caching and resource allocation framework in MEC-based IoV was constructed.A V2X cooperative caching and resource allocation mechanism was proposed to achieve the effective allocation of computing resources

caching resources

and communication resources in the network.The graph coloring model was used to allocate channels to the offloading users.Lagrange multiplier method was used to allocate power and computing resources.The simulation results show that the proposed mechanism can effectively reduce system overhead and reduce task completion delay under different system parameters.

关键词

Keywords

references

张海君 , 张资政 , 隆克平 . 基于移动边缘计算的 NOMA 异构网络资源分配 [J ] . 通信学报 , 2020 , 41 ( 4 ): 27 - 33 .

ZHANG H J , ZHANG Z Z , LONG K P . Resource allocation in NOMA heterogeneous network based on MEC [J ] . Journal on Communications , 2020 , 41 ( 4 ): 27 - 33 .

张海波 , 荆昆仑 , 刘开健 . 车联网中一种基于软件定义网络与移动边缘计算的卸载策略 [J ] . 电子与信息学报 , 2020 , 42 ( 3 ): 645 - 652 .

ZHANG H B , JING K L , LIU K J . An offloading mechanism based on software defined network and mobile edge computing in vehicular networks [J ] . Journal of Electronics and Information Technology , 2020 , 42 ( 3 ): 645 - 652 .

ABDULRAHMAN A , YONG D , GUIYI W , et al . Collaborative security in vehicular cloud computing:a game theoretic view [J ] . IEEE Network , 2018 , 32 ( 3 ): 72 - 77 .

SHOJAFAR M , CORDESCHI N , BACCARELLI E . Energy-efficient adaptive resource management for real-time vehicular cloud services [J ] . IEEE Transactions on Cloud Computing , 2019 , 7 ( 1 ): 196 - 209 .

JI L , GUO S . Energy-efficient cooperative resource allocation in wireless powered mobile edge computing [J ] . IEEE Internet of Things Journal , 2019 , 6 ( 3 ): 4744 - 4754 .

LIU Y , YU H , XIE S . Deep reinforcement learning for offloading and resource allocation in vehicle edge computing and networks [J ] . IEEE Transactions on Vehicular Technology , 2019 , 68 ( 11 ): 11158 - 11168 .

HE Y , LIANG C , ZHANG Z , et al . Resource allocation in software-defined and information-centric vehicular networks with mobile edge computing [C ] // Proceedings of the IEEE Vehicular Technology Conference . Piscataway:IEEE Press , 2017 : 1 - 5 .

FANG C , YAO H P , WANG Z W , et al . A survey of mobile information-centric networking:research issues and challenges [J ] . IEEE Communications Surveys ＆ Tutorials , 2018 , 20 ( 3 ): 2353 - 2371 .

TRAN T X , POMPILI D . Adaptive bitrate video caching and processing in mobile-edge computing networks [J ] . IEEE Transactions on Mobile Computing , 2019 , 18 ( 9 ): 1965 - 1978 .

ZHANG S , LI J , LUO H , et al . Low-latency and fresh content provision in information-centric vehicular networks [J ] . arXiv Preprint,arXiv:2005.04358 , 2020 .

ZHANG K , LENG S , HE Y , et al . Cooperative content caching in 5G networks with mobile edge computing [J ] . IEEE Wireless Communications , 2018 , 25 ( 3 ): 80 - 87 .

WANG S , ZHANG X , ZHANG Y , et al . A survey on mobile edge networks:convergence of computing,caching and communications [J ] . IEEE Access , 2017 ,( 5 ): 6757 - 6779 .

JIANG W , FENG G , QIN S . Optimal cooperative content caching and delivery policy for heterogeneous cellular networks [J ] . IEEE Transactions on Mobile Computing , 2017 , 16 ( 5 ): 1382 - 1393 .

ZHOU Y C , YU F R , CHEN J , et al . Resource allocation for information-centric virtualized heterogeneous networks with in-network caching and mobile edge computing [J ] . IEEE Transactions on Vehicular Technology , 2017 , 66 ( 12 ): 11339 - 11351 .

AO W C , PSOUNIS K . Fast content delivery via distributed caching and small cell cooperation [J ] . IEEE Transactions on Mobile Computing , 2018 , 17 ( 5 ): 1048 - 1061 .

XU J , CHEN L X , ZHOU P . Joint service caching and task offloading for mobile edge computing in dense networks [C ] // Proceedings of the IEEE INFOCOM . Piscataway:IEEE Press , 2018 : 207 - 215 .

NDIKUMANA A , ULLAH S , LEANH T , et al . Collaborative cache allocation and computation offloading in mobile edge computing [C ] // Proceedings of the IEEE Asia-Pacific Network Operations and Management Symposium . Piscataway:IEEE Press , 2017 : 366 - 369 .

JIAO J P , HONG X M , SHI J H . Proactive content delivery for vehicles over cellular networks:the fundamental benefits of computing and caching [J ] . China Communications , 2018 , 15 ( 7 ): 88 - 97 .

LUO Z H , LIWANG M H , HUANG L F , et al . Caching mechanism for mobile edge computing in V2I networks [J ] . Transactions on Emerging Telecommunications Technologies , 2019 :doi.org/10.1002/ett.3689.

WANG C M , LIANG C C , YU F R , et al . Computation offloading and resource allocation in wireless cellular networks with mobile edge computing [J ] . IEEE Transactions on Wireless Communications , 2017 , 16 ( 8 ): 4924 - 4938 .

ZHANG Y , ZHOU X , TENG Y , et al . Resource allocation for multi-user MEC system:machine learning approaches [C ] // 2018 International Conference on Computational Science and Computational Intelligence . Piscataway:IEEE Press , 2018 : 794 - 799 .

LI J , ZHANG H , JI H , et al . Joint computation offloading and service caching for MEC in multi-access networks [C ] // 2019 IEEE 30th Annual International Symposium on Personal,Indoor and Mobile Radio Communications . Piscataway:IEEE Press , 2019 : 1 - 6 .

ASSI M , HARATY A R . A survey of the knapsack problem [C ] // 2018 International Arab Conference on Information Technology . Piscataway:IEEE Press , 2018 : 1 - 6 .

WANG C M , LIANG C C , YU F R , et al . Joint computation offloading and interference management in wireless cellular networks with mobile edge computing [J ] . IEEE Transactions on Vehicular Technology , 2017 , 66 ( 8 ): 7432 - 7445 .

浏览量

933

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

无人机辅助边缘计算中安全通信与能效优化策略

移动边缘网络下服务缓存与资源分配联合优化策略

智能反射面赋能无人机边缘网络计算卸载方案

面向软件定义多模态车联网的双时间尺度RAN切片资源分配

SDN和MEC架构下V2X卸载与资源分配