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A Mobile Edge Computing-Assisted Video Delivery Architecture for Wireless Heterogeneous Networks

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Abstract

We focus on QoE-optimized video delivery in a wireless heterogeneous network setting, where users equipped with multi-interface devices access a Dynamic Adaptive Streaming over HTTP (DASH) video service. We provide an Integer Linear Programming (ILP) formulation for the problem of optimal joint video quality and network interface selection and a heuristic algorithm to solve it, shown via simulation and testbed experiments to achieve near-optimal performance in terms of Quality of Experience (QoE), with reduced execution time. We further design a video delivery architecture based on the emerging Mobile Edge Computing (MEC) standard, where our video quality and network selection functionality is executed as a MEC application. Notably, our architecture transparently operates with standard DASH clients.
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Dates and versions

hal-01657678 , version 1 (07-12-2017)

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Yue Li, Pantelis Frangoudis, Yassine Hadjadj-Aoul, Philippe Bertin. A Mobile Edge Computing-Assisted Video Delivery Architecture for Wireless Heterogeneous Networks. ISCC 2017 - IEEE Symposium on Computers and Communications, Jul 2017, Heraklion, Greece. pp.1-6, ⟨10.1109/ISCC.2017.8024583⟩. ⟨hal-01657678⟩
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