Graduate School and Research Center in Digital Sciences

RAVEN - Radio aware video optimization in a fully virtualized network

Nikaein, Navid; Huang, Anta

Mobile World Congress 2017, February 27th-March 2nd, 2017, Barcelona, Spain

This deme shows a Video Optimization Application, which is aware of the radio conditions and the resulted performance on per user and cell basis. The MEC Application is co-located with the eNB and communicating with the video content server. The quality of the video streams is dynamically adjusted according to the radio conditions of the users obtained on realtime based on the eNB controller operating as an eNB producer app on the top of the MEC platform. As a result, the video streams and the quality perceived by users are improved thanks to proximity and the usage of the MEC Video Optimization Application.

Document Bibtex

Title:RAVEN - Radio aware video optimization in a fully virtualized network
Type:Poster / Demo
Language:English
City:Barcelona
Country:SPAIN
Date:
Department:Communication systems
Eurecom ref:5318
Copyright: © EURECOM. Personal use of this material is permitted. The definitive version of this paper was published in Mobile World Congress 2017, February 27th-March 2nd, 2017, Barcelona, Spain and is available at :
Bibtex: @poster / demo{EURECOM+5318, year = {2017}, title = {{RAVEN} - {R}adio aware video optimization in a fully virtualized network}, author = {{N}ikaein, {N}avid and {H}uang, {A}nta}, number = {EURECOM+5318}, month = {02}, institution = {Eurecom} address = {{B}arcelona, {SPAIN}}, url = {http://www.eurecom.fr/publication/5318} }
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