栾秋季1, 2,,,
朱江1, 2,
贺晓帆3
1.重庆邮电大学通信与信息工程学院 重庆 400065
2.重庆邮电大学移动通信技术重庆市重点实验室 重庆 400065
3.美国德克萨斯州拉玛尔大学电子工程系 美国 77710
基金项目:国家自然科学基金(61771084, 61601071)，****和创新团队发展计划基金(IRT16R72)
详细信息
作者简介:张海波：男，1979年生，副教授，研究方向为移动边缘计算
栾秋季：女，1995年生，硕士生，研究方向为移动边缘计算
朱江：男，1977年生，教授，研究方向为认知无线电、移动通信
贺晓帆：男，1985年生，助理教授，研究方向为无线资源管理
通讯作者:栾秋季 yimuxiaolian@163.com
中图分类号:TN929.5计量
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被引次数:0
出版历程
收稿日期:2018-01-09
修回日期:2018-05-02
网络出版日期:2018-06-20
刊出日期:2018-11-01
V2X Task Offloading Scheme Based on Mobile Edge Computing
Haibo ZHANG1, 2,Qiuji LUAN1, 2,,,
Jiang ZHU1, 2,
Xiaofan HE3
1. College of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2. Chongqing Key Laboratory of Mobile Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
3. Department of Electronic Engineering, Lamar University, TX 77710, USA
Funds:The National Natural Science Foundation of China (61771084, 61601071), The Program for Changjiang Scholars and Innovative Research Team in University (IRT16R72)
摘要
摘要:移动边缘计算(MEC)通过在移动网络边缘提供IT服务环境和云计算能力带来高带宽、低时延优势，从而在下一代移动网络的研究中引起了广泛的关注。该文研究车载网络中车辆卸载请求任务时搜寻服务节点为其服务的匹配问题，构建一个基于MEC的卸载框架，任务既可以卸载到MEC服务器以车辆到基础设施(V2I)形式通信，也可以卸载到邻近车辆进行车辆到车辆(V2V)通信。考虑到资源有限性、异构性，任务多样性，建模该框架为组合拍卖模式，提出一种多轮顺序组合拍卖机制，由层次分析法(AHP)排序、任务投标、获胜者决策3个阶段组成。仿真结果表明，所提机制可以在时延和容量约束下，使请求车辆效益提高的同时最大化服务节点的效益。
关键词:车载网络/
移动边缘计算/
组合拍卖模型/
层次分析法
Abstract:Mobile Edge Computing (MEC) draws much attention in the next generation of mobile networks with high bandwidth and low latency by enabling the IT and cloud computation capacity at the Radio Access Network (RAN). Matching problem between requesting nodes and servicing nodes is studied when a vehicle wants to offload tasks, a MEC-based offloading framework in vehicular networks is proposed, Vehicle can either offload task to MEC sever as V2I link or neighboring vehicle as V2V link. Taking into account the limited and heterogeneous resources, and the diversity of tasks, offloading framework is established as combination auction model, and a multi-round sequential combination auction mechanism is proposed, which consists of Analytic Hierarchy Process (AHP) ranking, task bidding and winners decision. Simulation results show that the proposed mechanism can maximize the efficiency of service nodes while increasing the efficiency of requesting vehicles under the constraints of the delay and the capacity.
Key words:Vehicular networking/
Mobile Edge Computing (MEC)/
Combination auction modle/
Analytic Hierarchy Process (AHP)
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https://jeit.ac.cn/article/exportPdf?id=465d507e-a000-4e2b-a4a8-fc74e905b7d6
