A QoE supportive distributed caching management for vehicular video streaming in cellular networks

Abstract

The distributed caching management enabled wireless networking technology can greatly improve the data storage and transmission efficiency of wireless users and correspondingly the users' quality of experience (QoE). How to alleviate the pressure on network access while ensuring the content consistency is still a challenge. In this paper, we investigate the vehicular users oriented caching management scenario which focuses on the in-motion video streaming in cellular networks. Specifically, we propose a QoE supportive distributed caching management approach considering the cache constraint of cellular networks, to fulfill more mobile users' requests for video streaming while ensuring the basic service experience of users. By introducing the QoE evaluation model using the verified empirical data, and establishing the mathematic relationship between the associated streaming bit-rate and actual storage space, we formulate the dynamic caching management for in-motion video streaming in cellular networks into a constrained optimization problem which is capable to be solved by the Lagrange Multiplier method. Simulation results indicate that the proposed dynamic caching approach can improve the users' satisfaction ratio by up to 40%.