With recent development in vehicular communication technologies, much attention has been paid to data dissemination in vehicular networks. In particular, the infrastructure-to-vehicle (I2V) communication is one of the primary technologies to provide a variety of information services. To enhance the bandwidth efficiency of I2V communication, this work considers in a software-defined vehicular networks (SDVN), aiming at exploiting synergistic effects of network coding and vehicular caching. First, we consider a data service scenario in which roadside unites (RSUs) are connected with the controller, which exercises scheduling decisions based on service requests received from vehicles. On this basis, we formulate a cooperative coding and caching scheduling problem with the objective of maximizing the bandwidth efficiency of I2V communication. Then, we propose a binary particle swarm optimization (BPSO)-based coding scheduling (BPSO_CS) algorithm. Finally, we build the simulation model and give a comprehensive performance evaluation. The results conclusively demonstrate the superiority of the proposed solution.

随着车辆通信技术的最新发展，已经非常关注车辆网络中的数据分发。特别地，基础设施到车辆（I2V）通信是提供各种信息服务的主要技术之一。为了提高I2V通信的带宽效率，这项工作考虑在软件定义的车载网络（SDVN）中进行，旨在利用网络编码和车载缓存的协同效应。首先，我们考虑一种数据服务方案，其中路边单元（RSU）与控制器连接，该控制器根据从车辆接收到的服务请求行使调度决策。在此基础上，我们提出了一种协作编码和缓存调度问题，目的是最大化I2V通信的带宽效率。然后，我们提出了一种基于二进制粒子群优化（BPSO）的编码调度（BPSO_CS）算法。最后，我们建立仿真模型并给出综合性能评估。结果最终证明了所提出解决方案的优越性。