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题名:
Optimal Resource Sharing in 5G-Enabled Vehicular Networks: A Matrix Game Approach
作者: Yu, Rong; Ding, Jiefei; Huang, Xumin; Zhou, Mingtuo; Gjessing, Stein; Zhang, Yan
作者部门: 广州中国科学院沈阳自动化研究所分所
通讯作者: Zhang, Yan
关键词: vehicular network ; Cloud radio access network (C-RAN) ; fifth generation (5G) ; matrix game ; resource management ; software-defined network (SDN)
刊名: IEEE Transactions on Vehicular Technology
ISSN号: 0018-9545
出版日期: 2016
卷号: 65, 期号:10, 页码:7844-7856
收录类别: SCI ; EI
EI收录号: 20164502976255
WOS记录号: WOS:000386658000003
产权排序: 2
项目资助者: National Natural Science Foundation of China under Grant 61422201, Grant 61370159, Grant U1201253, and Grant U1301255 ; Science and Technology Program of Guangdong Province under Grant 2015B010129001 ; Project of Guangdong Province under Grant 2014TQ01X100 ; High Education Excellent Young Teacher Program of Guangdong Province under Grant YQ2013057 ; Science and Technology Program of Guangzhou under Grant 2014J2200097 (Zhujiang New Star Program) ; projects 240079/F20 funded by the Research Council of Norway and the European Commission FP7 Project CROWN under Grant PIRSES-GA- 2013-627490
摘要: Vehicular networks are expected to accommodate a large number of data-heavy mobile devices and multiapplication services, whereas it faces a significant challenge when we need to deal with the ever-increasing demand of mobile traffic. In this paper, we present a new paradigm of fifth-generation (5G)-enabled vehicular networks to improve network capacity and system computing capability. We extend the original cloud radio access network (C-RAN) to integrate local cloud services to provide a low-cost, scalable, self-organizing, and effective solution. The new C-RAN is named enhanced C-RAN (EC-RAN). Cloudlets in EC-RAN are geographically distributed for local services. Furthermore, device-to-device (D2D) and heterogeneous networks are essential technologies in 5G systems. They can greatly improve spectrum efficiency and support large-scale live video streaming in short-distance communications. We exploit matrix game theoretical approach to operate the cloudlet resource management and allocation. A Nash equilibrium solution can be obtained by a Karush-Kuhn-Tucker (KKT) nonlinear complementarity approach. Illustrative results indicate that the proposed resource-sharing scheme with the geodistributed cloudlets can improve resource utilization and reduce system power consumption. Moreover, with the integration of a software-defined network architecture, a vehicular network can easily reach a globally optimal solution.
语种: 英语
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内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/19369
Appears in Collections:广州中国科学院沈阳自动化研究所分所_期刊论文

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作者单位: 1.School of Automation, Guangdong University of Technology, Guangdong, 510006, China
2.Shenyang Institute of Automation Guangzhou Branch, Chinese Academy of Sciences, Beijing, 100864, China
3.Simula Research Laboratory and University of Oslo, Norway

Recommended Citation:
Yu, Rong,Ding, Jiefei,Huang, Xumin,et al. Optimal Resource Sharing in 5G-Enabled Vehicular Networks: A Matrix Game Approach[J]. IEEE Transactions on Vehicular Technology,2016,65(10):7844-7856.
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