QoE-driven Adaptation Scheme for Video Applications over Wireless Networks

User’s perceived Quality of Service or Quality of experience (QoE) is likely to be the major determining factor in the success of new multimedia applications over wireless/mobile networks. The primary aim of this paper is to present an adaptation scheme that is QoE-driven for optimizing content provisioning and network resource utilization for video applications over wireless networks. The proposed scheme encompasses the application of a QoE-driven model for optimizing content provisioning and network resource utilization. The content provisioning is optimized by the determination of initial content quality by adapting the video Sender Bitrate (SBR) according to users’ Quality of Experience (QoE) requirement. By finding the impact of the QoS parameters on end-to-end perceptual video quality, the optimum trade-off between SBR and frame rate is found and the benefits to network providers in maximizing existing network resources is demonstrated. The QoE is measured in terms of the Mean Opinion Score (MOS). The proposed scheme makes it possible for content providers to achieve optimum streaming (with an appropriate sender bitrate) suitable for the network and content type for a requested QoE. The scheme is also beneficial for network providers for network resource provision and planning and therefore, maximizing existing network infrastructure by providing service differentiation.