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LTE networks offer broadband wireless access to mobile users who can benefit from high data rate applications such as video streaming. In order to improve the user satisfaction, Quality-of-Experience (QoE) based resource allocation for multiple streaming users in an LTE cell has been studied. However, the high energy consumption of these applications has not been considered. In this paper, we propose...
The mobile ecosystem is currently facing tremendous changes; in particular, the actual deployment of 4G will probably not be sufficient to totally fit the upcoming mobile data traffic explosion. This mismatch may be explained by the low marginal revenues expectable from mobile data compared to huge investments it requires. Consequently, congestion may appear soon in radio access networks, thus degrading...
The explosion of demanding on-line services, such as video, is increasingly stressing the Internet architecture, requiring new solutions to support future usage scenarios. New Future Internet approaches targeting Information Centric Networking, such as the Entity Title Architecture (ETArch), provide new optimizations for these scenarios, using novel mechanisms such as Software Defined Networking (SDN)...
The concern over the quality of delivering video streaming services in mobile wireless networks is addressed in this work. A framework that enhances the Quality of Experience (QoE) of end users through a quality driven resource allocation scheme is proposed. To play a key role, an objective no-reference quality metric, Pause Intensity (PI), is adopted to derive a resource allocation algorithm for...
The delivery of video services in a controllable and resource efficient manner while meeting the various QoE/QoS requirements in mobile networks is a challenging task, especially in a multiclass wireless environment. This paper proposes an intelligent and context-aware application level fair scheduler based on reinforcement-learning, which can dynamically adjust relevant scheduling parameters in reaction...
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