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Collaborative Content Delivery in Software-Defined Heterogeneous Vehicular Networks

机译:软件定义的异构车辆网络中的协同内容交付

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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.
机译:由蜂窝基站(CBSS)和路边单元(RSU)组成的软件定义的异构车辆网络(SD-HETVNET)已经成为一个有希望的解决方案,以解决车辆内容需求的激增增加所施加的基本问题。但是,由于车辆的经验质量(QoE)和网络供应商的公用事业的需求不断增加,促使CBS与RSU合作的新挑战,以便最大限度地提高其公用事业并提高效率网络。因此,在本文中,我们提出了一种协作内容交付方案,以改善SD-HEVNET中的参与者(即CB,RSU和车辆)的公用事业,其中CBS可以通过提供多播的一组车辆与RSU合作技术。我们首先定义实用程序模型来映射网络中的参与者的利润,并将CBS和RSU的实用程序制定为两个优化问题。然后,我们利用双重拍卖游戏激励CBS与RSU合作,为多播辅助内容交付来解决两个最大化问题。接下来,在实现贝叶斯纳什均衡时,分析了游戏中CBS和RSU的最佳竞标策略。通过最佳竞标策略,CBS和RSU都可以为多播辅助内容交付服务出价,以基于网络状态最大限度地提高其实用程序。最后,通过使用模拟来评估所提出的合作方案的性能。仿真结果表明,可以提高网络中所有参与者的实用程序,并且可以提高网络的效率。

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