车联网中基于MEC的V2X协同缓存和资源分配

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

通信学报 ›› 2021, Vol. 42 ›› Issue (2): 26-36.doi: 10.11959/j.issn.1000-436x.2021007

车联网中基于MEC的V2X协同缓存和资源分配

李方伟¹^,²^,³, 张海波¹^,²^,³, 王子心¹^,²^,³

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

修回日期:2020-09-24 出版日期:2021-02-25 发布日期:2021-02-01
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。
基金资助:
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)

V2X collaborative caching and resource allocation in MEC-based IoV

Fangwei LI¹^,²^,³, Haibo ZHANG¹^,²^,³, Zixin WANG¹^,²^,³

¹ School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
² Engineering Research Center of Mobile Communications of the Ministry of Education, Chongqing 400065, China
³ Chongqing Key Laboratory of Mobile Communications Technology, Chongqing 400065, China

Revised:2020-09-24 Online:2021-02-25 Published:2021-02-01
Supported by:
The National Natural Science Foundation of China(61801065);The National Natural Science Foundation of China(61601071);Program for Changjiang Scholars and Innovative Research Team in University(IRT16R72);The Basic Research and Frontier Exploration Projects in Chongqing(cstc2018jcyjAX0463)

摘要/Abstract

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。

关键词: 车联网, V2X, 边缘缓存, 移动边缘计算, 资源分配

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.

Key words: IoV, V2X, edge caching, mobile edge computing, resource allocation

中图分类号:

TN929.5

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.

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参数	数值
车辆最大发射功率 p_max/dBm	20
系统带宽/MHz	20
任务计算大小d_i/MB	10～20
计算任务所需CPU周期s_i /周期	1500～3 000
高斯白噪声功率σ²/dBm	- 60
权重因子设置α=β	0.5
RSU的覆盖直径RL _j/m	1 000
车辆计算能力F_j/GHz	1～2
MEC服务器计算能力 f_j /GHz	10
上行传输信道数量K/条	10
单小区车辆数目/辆	13
Zipf分布参数δ	0.56
车辆缓存能力H ^V/MB	100
MEC服务器缓存能力H ^M /MB	500
车辆移动速度/(km·h^-1)	40、60
最大中断距离d_interrupt/m	345
缓存类型	15

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

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