Supporting video streaming services and providing high Quality of Experience (QoE) to end users have become main concerns for cellular network operators. In this work, we present an architecture for improving the QoE of video streaming in cellular networks with high user density. The architecture employs progressive caching of video contents, Dynamic Adaptive Streaming over HTTP (DASH), and Device-to-Device (D2D) communication. The Base-Station (BS) controls the progressive caching process of video contents and the Peer-to-Peer (P2P) transmission of video segments among User Equipments (UEs). We present two different implementations of the architecture. The implementations differ in the employed approach for video contents caching and distribution over the UEs. We use the Discrete EVent System Specification (DEVS) formalism to build a model for the proposed architecture in an LTE-A network and use the model to study the performance achieved by the proposed architecture in terms of many video streaming QoE metrics.

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21st International Symposium on Performance Evaluation of Computer and Telecommunication Systems, SPECTS 2018, Part of the 2018 Summer Simulation Multi-Conference, SummerSim 2018
Department of Systems and Computer Engineering

Al-Habashna, A. (Ala’A), & Wainer, G.A. (2018). Dash-based device-to-device video streaming for cellular networks with high user density. In Simulation Series (pp. 48–59). doi:10.1109/SPECTS.2018.8574197