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QoE Enhancement of SVC Video Streaming Over Vehicular Networks Using Cooperative LTE/802.11p Communications

机译:使用协作LTE / 802.11p通信在车载网络上QoE增强SVC视频流

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Real-time streaming of scalable video coded (SVC) videos in vehicular networks is investigated, and novel cooperative vehicle-to-vehicle (V2V) communication methods are proposed. The proposed techniques are based on grouping the moving vehicles into cooperative clusters. Within each cluster, the long term evolution (LTE) system is used to send the data over long range cellular links to a selected cluster head, which multicasts the received video over IEEE 802.11p to vehicles in its cluster. Error concealment techniques are used to compensate the loss of frames that are not delivered on time for real-time video streaming. In addition, resource allocation to select the best subcarriers for LTE transmission is performed in order to enhance the received video quality. Moreover, metrics related to both quality of service (QoS) and quality of experience (QoE) are studied and analyzed for various video sequences of different characteristics. The V2V video streaming techniques are extended to the case of vehicle-to-infrastructure (V2I) communications. Simulation results show that the proposed methods lead to enhanced QoS and QoE compared to the non collaborative scenarios, and their performance tradeoffs compared to recent methods from the literature are discussed.
机译:研究了车载网络中可伸缩视频编码(SVC)视频的实时流传输,并提出了新颖的协作式车对车(V2V)通信方法。所提出的技术基于将移动车辆分组为协作集群。在每个群集中,长期演进(LTE)系统用于通过远程蜂窝链路将数据发送到选定的群集头,该群集头通过IEEE 802.11p将接收到的视频多播到其群集中的车辆。错误隐藏技术用于补偿实时视频流未按时交付的帧的丢失。另外,执行用于选择最佳子载波以进行LTE传输的资源分配,以提高接收到的视频质量。此外,针对不同特性的各种视频序列,研究和分析了与服务质量(QoS)和体验质量(QoE)相关的指标。 V2V视频流技术已扩展到车辆到基础设施(V2I)通信的情况。仿真结果表明,与非协作方案相比,所提出的方法可提高QoS和QoE,并且与文献中的最新方法相比,其性能折衷也得到了讨论。

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