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
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.