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Revenue-driven video delivery in vehicular networks with optimal resource scheduling

机译：具有最佳资源调度的车辆网络中的收入驱动视频传送

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摘要

Vehicular network is the enabler of various services for transportation means including safety and infotainment applications. It can better deal with the highly dynamic nature of roads and highways. Meanwhile, the existing infrastructure of the cellular networks is unable to cope with the heavy traffic imposed mainly by videos. Thus, the cellular operators may leverage Roadside Untis (RSU) to offload video traffic and provide better quality of experience for vehicle customers. In this paper, we propose a pricing model that motivates RSU owners to cooperate with the cellular operators in order to offer better quality of experience (QoE) and offload substantial part of videos traffic from the cellular networks. The pricing model also motivates the vehicle owners to cooperate with the RSU to deliver contents to each other and aims to maximize RSU revenue and provide a wide range of QoS levels to the content providers in order to give them a degree of freedom to choose the suitable level of quality for their customers and based on their allocated budgets. We prove this problem is hard to solve, then we propose a lightweight greedy methods as alternative solutions. The conducted results show the efficiency of the proposed solutions and their ability to obtain results similar or so close to the optimal solutions.
机译：车辆网络是运输方式的各种服务的推动器，包括安全和信息娱乐应用。它可以更好地处理道路和高速公路的高度动态性质。同时，蜂窝网络的现有基础设施无法应对主要由视频强加的繁重流量。因此，蜂窝运营商可以利用路边Untis（RSU）来卸载视频流量并为车辆客户提供更好的体验。在本文中，我们提出了一个定价模型，使RSU业主与蜂窝运营商合作，以便提供更好的经验质量（QoE），并从蜂窝网络中卸载大量视频流量。定价模型还促使车辆所有者与RSU合作，以互相提供内容，并旨在最大限度地提高RSU收入，并为内容提供商提供广泛的QoS级别，以便为他们提供一种选择合适的自由度客户的质量水平，并根据分配的预算。我们证明了这个问题很难解决，那么我们将轻量级的贪婪方法提出作为替代解决方案。所进行的结果表明提出的解决方案的效率及其获得相似或如此接近最佳解决方案的结果的能力。

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