Enabling QoE-aware Mobile Cloud Video Recording over Roadside Vehicular Networks  

作　　者：Tongtong Jiang Zhaobin Deng Weiwei Huang Guoqing Zhang 

机构地区：[1]Department of Computer Science, Sun Yat-sen University [2]Guangdong Province Key Laboratory of Big Data Analysis and Processing, Sun Yat-sen University [3]Collaborative Innovation Center of High Performance Computing, National University of Defense Technology [4]Institute of Computing Technology, Chinese Academy of Sciences

出　　处：《China Communications》2016年第8期63-73,共11页中国通信（英文版）

基　　金：supported in part by the National Science Foundation of China under Grant 61272397,Grant 61572538,Grant 61174152,Grant 61331008;in part by the Guangdong Natural Science Funds for Distinguished Young Scholar under Grant S20120011187

摘　　要：Most of previous video recording devices in mobile vehicles commonly store captured video contents locally. With the rapid development of 4G/Wi Fi networks, there emerges a new trend to equip video recording devices with wireless interfaces to enable video uploading to the cloud for video playback in a later time point. In this paper, we propose a QoE-aware mobile cloud video recording scheme in the roadside vehicular networks, which can adaptively select the proper wireless interface and video bitrate for video uploading to the cloud. To maximize the total utility, we need to design a control strategy to carefully balance the transmission cost and the achieved QoE for users. To this purpose, we investigate the tradeoff between cost incurred by uploading through cellular networks and the achieved QoE of users. We apply the optimization framework to solve the formulated problem and design an online scheduling algorithm. We also conduct extensive trace-driven simulations and our results show that our algorithm achieves a good balance between the transmission cost and user QoE.Most of previous video recording de- vices in mobile vehicles commonly store captured video contents locally. With the rapid develop- ment of 4G/WiFi networks, there emerges a new trend to equip video recording devices with wire- less interfaces to enable video uploading to the cloud for video playback in a later time point. In this paper, we propose a QoE-aware mobile cloud video recording scheme in the roadside vehicular networks, which can adaptively select the proper wireless interface and video bitrate for video up- loading to the cloud. To maximize the total utility, we need to design a control strategy to carefully balance the transmission cost and the achieved QoE for users. To this purpose, we investigate the tradeoff between cost incurred by uploading through cellular networks and the achieved QoE of users. We apply the optimization framework to solve the formulated problem and design an online scheduling algorithm. We also conduct extensive trace-driven simulations and our results show that our algorithm achieves a good balance between the transmission cost and user QoE.

关 键 词：mobile cloud video vehicular networks quality-of-experience 

分 类 号：TN929.5[电子电信—通信与信息系统]