物联网学报 ›› 2018, Vol. 2 ›› Issue (3): 36-43.doi: 10.11959/j.issn.2096-3750.2018.00062

• 理论与技术 • 上一篇    下一篇

车辆异构网中基于移动边缘计算的任务卸载与资源分配

张海波,栾秋季,朱江,李方伟   

  1. 重庆邮电大学移动通信终端与网络控制国家地方联合工程研究中心,重庆 400065
  • 修回日期:2018-08-10 出版日期:2018-09-01 发布日期:2018-10-15
  • 作者简介:张海波(1979-),男,博士,重庆邮电大学副教授、硕士生导师、移动通信终端与网络控制国家地方联合工程研究中心成员,主要研究方向为车联网及移动边缘计算。|栾秋季(1995-),女,重庆邮电大学硕士生、移动通信终端与网络控制国家地方联合工程研究中心成员,主要研究方向为车联网资源分配。|朱江(1977-),男,博士,重庆邮电大学教授、硕士生导师、移动通信终端与网络控制国家地方联合工程研究中心成员,主要研究方向为移动边缘计算。|李方伟(1960-),男,博士,重庆邮电大学教授、博士生导师、移动通信终端与网络控制国家地方联合工程研究中心主任,主要研究方向为移动通信传输理论与安全技术。
  • 基金资助:
    长江学者和创新团队发展计划基金资助项目(IRT16R72);国家自然科学基金资助项目(61771084);国家自然科学基金资助项目(61601071)

Task offloading and resource allocation in vehicle heterogeneous networks with MEC

Haibo ZHANG,Qiuji LUAN,Jiang ZHU,Fangwei LI   

  1. National &Local Joint Engineering Research Center of Mobile Communication Terminal and Network Control,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
  • Revised:2018-08-10 Online:2018-09-01 Published:2018-10-15
  • Supported by:
    Program for Changjiang Scholars and Innovative Research Team in the University of Ministry of Education of China(IRT16R72);The National Natural Science Foundation of China(61771084);The National Natural Science Foundation of China(61601071)

摘要:

针对移动边缘计算(MEC)提供IT服务环境和云计算能力带来的高带宽、低时延优势,结合LTE免授权频谱(LTE-U)技术,研究了车辆异构网络中基于 MEC 的任务卸载模式决策和资源分配问题。考虑链路差异化要求,即车辆到路边单元(V2I)链路的高容量和车辆到车辆(V2V)链路的高可靠性,将用户服务质量(QoS)建模为容量与时延的组合形式。首先采用改进的 K-means 算法依据不同的 QoS 对请求车辆进行聚类,从而确定通信模式,其次利用基于无竞争期(CFP)的LTE-U,结合载波聚合(CA)技术,使用分布式Q-Learning算法进行信道和功率分配。仿真结果表明,所提机制可以在保证V2V链路可靠性的同时,使得V2I遍历容量最大化。

关键词: 移动边缘计算, LTE-U, 车联网, 任务卸载, 资源分配

Abstract:

Based on the advantages of high-bandwidth and low-latency brought by mobile edge computing (MEC),which could provide IT service environment and cloud computing capability,combined with the long-term evolution unlicensed (LTE-U) technology,the task offloading decision and resource allocation issues in vehicle heterogeneous network were studied.Considering the link differentiation requirements,which were the high capacity of vehicle-to-roadside unit (V2I) links and the super reliability of vehicle-to-vehicle (V2V) links,quality of service (QoS) was modeled as the combination of capacity and latency.Firstly,the improved K-means algorithm was used to cluster the request vehicles according to different QoS to determine the communication mode.Secondly,the LTE-U technology based on non-competition period (CFP) which was combined with carrier aggregation (CA) technology,and the distribution Q-Learning algorithm were adopted to allocate the channel and power.The simulation results show that the proposed mechanism can maximize the V2I link traversal capacity while ensuring the reliability of the V2I link.

Key words: mobile edge computing, LTE-U, vehicle network, task offloading, resource allocation

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