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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, Ming-Tuo; 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
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
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
WOS记录号: WOS:000386658000003
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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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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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