QoE-driven resource optimization for user generated video content in next generation mobile networks

The increasing popularity of user-generated content and the high quality upstreaming capabilities of mobile phones indicate a preva-lence of video traffic in the uplink of next generation mobile net-works. Need arises for optimizing the network resource allocation while preserving the user satisfaction. In this paper, we propose a service-centric approach for uplink distribution of real-time user-generated content based on the Quality of Experience (QoE) and popularity of the video content. In case of limited network resources, the proposed approach assigns more resources for popular contents while maintaining a minimum guaranteed QoE for the less popular ones. We compare our service-centric approach with a QoE-driven one that does not consider video popularity and evaluate both ap-proaches for the uplink of an LTE system. The simulation results show that a significant gain in terms of average user satisfaction can be achieved. Index Terms — Quality of Experience, service-centric resource allocation, LTE uplink, video popularit