Graduate School and Research Center in Digital Sciences

A mobile edge computing-assisted video delivery architecture for wireless heterogeneous networks

Li, Yue; Frangoudis, Pantelis A; Hadjadj-Aoul, Yassine; Bertin, Philippe

ISCC 2017, 22nd IEEE Symposium on Computers and Communications, 3-6 July 2017, Heraklion, Greece

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.

Document Doi Hal Bibtex

Title:A mobile edge computing-assisted video delivery architecture for wireless heterogeneous networks
Keywords:Heterogeneous Network, DASH, QoE, Fairness, Mobile Edge Computing
Type:Conference
Language:English
City:Heraklion
Country:GREECE
Date:
Department:Communication systems
Eurecom ref:5315
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Bibtex: @inproceedings{EURECOM+5315, doi = {http://dx.doi.org/10.1109/ISCC.2017.8024583}, year = {2017}, title = {{A} mobile edge computing-assisted video delivery architecture for wireless heterogeneous networks }, author = {{L}i, {Y}ue and {F}rangoudis, {P}antelis {A} and {H}adjadj-{A}oul, {Y}assine and {B}ertin, {P}hilippe}, booktitle = {{ISCC} 2017, 22nd {IEEE} {S}ymposium on {C}omputers and {C}ommunications, 3-6 {J}uly 2017, {H}eraklion, {G}reece}, address = {{H}eraklion, {GREECE}}, month = {07}, url = {http://www.eurecom.fr/publication/5315} }
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