The software defined heterogeneous vehicular networks (SD-HetVNETs), which consist of cellular base stations (CBSs) and roadside units (RSUs), have emerged as a promising solution to address the fundamental problems imposed by the surge increase of vehicular content demand. However, due to the ever increasing requirement of the vehicles' quality of experience (QoE) and the network vendors' utilities, there come new challenges to motivate CBS to cooperate with RSU for content delivery in order to maximize their utilities and improve the efficiency of the networks. Therefore, in this paper, we propose a collaborative content delivery scheme to improve the utilities of the participants (i.e., CBS, RSU and vehicles) in the SD-HeVNETs, where the CBS can cooperate with RSUs by serving a group of vehicles with multicast technology. We first define the utility models to map the profits of the participants in the networks and formulate the utilities of CBS and RSU as two optimization problems. Then, we exploit the double auction game to motivate CBS to cooperate with RSU for the multicast assisted content delivery to address the two maximization problems. Next, the optimal bidding strategies of CBS and RSU in the game are analyzed when the Bayesian Nash equilibrium is achieved. With the optimal bidding strategies, both CBS and RSU can bid for the multicast assisted content delivery services to maximize their utilities based on the network status. Finally, the performance of the proposed cooperative scheme is evaluated by using simulations. The simulation results demonstrate that the utilities of all the participants in the networks can be enhanced and the efficiency of the networks can be improved.

中文翻译：

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软件定义异构车载网络中的协作内容交付


由蜂窝基站 (CBS) 和路边单元 (RSU) 组成的软件定义异构车载网络 (SD-HetVNET) 已成为解决车载内容需求激增所带来的基本问题的一种有前景的解决方案。然而，由于对车辆的体验质量（QoE）和网络供应商的效用要求不断提高，激励CBS与RSU合作进行内容交付以最大化其效用并提高网络供应商的效率面临着新的挑战。网络。因此，在本文中，我们提出了一种协作内容交付方案，以提高 SD-HeVNET 中参与者（即 CBS、RSU 和车辆）的效用，其中 CBS 可以通过为一组车辆提供多播服务来与 RSU 合作技术。我们首先定义效用模型来映射网络参与者的利润，并将 CBS 和 RSU 的效用公式化为两个优化问题。然后，我们利用双重拍卖博弈来激励 CBS 与 RSU 合作进行多播辅助内容交付，以解决两个最大化问题。接下来，分析了达到贝叶斯纳什均衡时CBS和RSU在博弈中的最优竞价策略。通过最优的竞价策略，CBS和RSU都可以根据网络状态对组播辅助内容交付服务进行竞价，以最大化其效用。最后，通过仿真评估所提出的协作方案的性能。仿真结果表明，网络中所有参与者的效用都可以得到增强，网络的效率也可以得到提高。