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。
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.
作者
李方伟
张海波
王子心
LI Fangwei;ZHANG Haibo;WANG Zixin(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;Engineering Research Center of Mobile Communications of the Ministry of Education,Chongqing 400065,China;Chongqing Key Laboratory of Mobile Communications Technology,Chongqing 400065,China)
出处
《通信学报》
EI
CSCD
北大核心
2021年第2期26-36,共11页
Journal on Communications
基金
国家自然科学基金资助项目(No.61801065,No.61601071)
长江学者和创新团队发展计划基金资助项目(No.IRT16R72)
重庆市基础与前沿基金资助项目(No.cstc2018jcyjAX0463)。
