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Optimal Resource Sharing in 5G-Enabled Vehicular Networks: A Matrix Game Approach
文献类型：期刊论文
| 作者 | Yu, Rong; Ding, Jiefei; Huang, Xumin; Zhou, Mingtuo ; Gjessing, Stein; Zhang, Yan
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| 刊名 | IEEE Transactions on Vehicular Technology
 |
| 出版日期 | 2016 |
| 卷号 | 65期号:10页码:7844-7856 |
| 关键词 | vehicular network Cloud radio access network (C-RAN) fifth generation (5G) matrix game resource management software-defined network (SDN) |
| ISSN号 | 0018-9545 |
| 产权排序 | 2 |
| 通讯作者 | Zhang, Yan |
| 中文摘要 | 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. |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000386658000003 |
| 源URL | [http://ir.sia.cn/handle/173321/19369]  |
| 专题 | 沈阳自动化研究所_广州中国科学院沈阳自动化研究所分所 |
| 推荐引用方式 GB/T 7714 | 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. |
| APA | Yu, Rong,Ding, Jiefei,Huang, Xumin,Zhou, Mingtuo,Gjessing, Stein,&Zhang, Yan.(2016).Optimal Resource Sharing in 5G-Enabled Vehicular Networks: A Matrix Game Approach.IEEE Transactions on Vehicular Technology,65(10),7844-7856. |
| MLA | Yu, Rong,et al."Optimal Resource Sharing in 5G-Enabled Vehicular Networks: A Matrix Game Approach".IEEE Transactions on Vehicular Technology 65.10(2016):7844-7856. |
入库方式： OAI收割
来源：沈阳自动化研究所
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