Thispaper improves a previously proposed scheduling algorithm that is responsible to share the allocated capacity to the uplink traffic of an integrated satellite and WiMAX network. The target of this improvement is to schedule traffic of real time connections based on Quality of Experience (QoE) metrics. After a bibliographic search on QoE metrics, the FC-MDI (Frame Classification-Media Delive...

Mobile streaming video data accounts for a large and increasing percentage of wireless network traffic. The available bandwidths of modern wireless networks are often unstable, leading to difficulties in delivering smooth, high-quality video. Streaming service providers such as Netflix and YouTube attempt to adapt their systems to adjust in response to these bandwidth limitations by changing th...

For service and mobile operators, it is important to monitor and keep high user engagement levels. Quality of Experience (QoE) on video streaming applications is an important engagement measure for video consumer customers. In this paper, video QoE (with the focus on stalling events) is studied from network, application, and energy perspectives with various instrumentations on a smartphone. Thi...

At present, Quality of Experience (QoE) measurements are accomplished by interrogating users for the perceived quality of a service they just have used. Influenced by many factors and often limited by domain or geographical region, this technique has several drawbacks when a general state of QoE for the internet as a whole is prospected. To achieve such a general metric, we leverage user compla...

This paper presents the u-map, a user-centric crowd-sourcing QoE-based geo-database recommendation system that enables clients to upload information about their profile, their quality-of-experience (QoE) feedback for a service, traffic demand, network/spectrumconditions (e.g., interference, coverage), providers, and their position (e.g., GPS-based measurements) in a spatio-temporal geo-database...

This contribution presents a Quality of Experience (QoE) framework. It evaluates QoE using QoS metrics, network feedback, and dynamic user requirements, and proposes a definition for QoE. A model for experimenting within the QoE framework is presented. It is believed that a better QoE can be achieved when the QoS and its interaction with the network and application layers is considered as a who...

0140-3664/$ see front matter 2012 Elsevier B.V. A http://dx.doi.org/10.1016/j.comcom.2012.03.008 ⇑ Corresponding author. E-mail address: [email protected] (H. Wang). The deployment of 3-D image techniques is one of the most promising fields among the development of new applications for natural image scenes. Driven by urgent demands from industry and users, 3-D image technology has received sign...