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.
A mobile edge computing-assisted video delivery architecture for wireless heterogeneous networks
ISCC 2017, 22nd IEEE Symposium on Computers and Communications, 3-6 July 2017, Heraklion, Greece
Type:
Conférence
City:
Heraklion
Date:
2017-07-03
Department:
Systèmes de Communication
Eurecom Ref:
5315
Copyright:
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See also:
PERMALINK : https://www.eurecom.fr/publication/5315
