Difference between revisions of "PoC 1 Video User Experience Optimization via MEC - A Service Aware RAN PoC"

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== PoC Demo ==
 
== PoC Demo ==
 
Webinar Q4 2015 (Details will follow)
 
Webinar Q4 2015 (Details will follow)
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 +
== Abstract ==
 +
Through the Video UE Optimization application running on the MEC server, the MEC application is able to recognize which are the paid video streams from the content provider. From there, the MEC application will assign higher priority to those video streams by ensuring higher bit rate. As a result, the paid subscribers will have a more guaranteed user experience when streaming video from the designated content provider.
  
 
== PoC Proposal ==
 
== PoC Proposal ==

Revision as of 14:47, 5 October 2015

PoC Team

Intel

China Mobile

iQiYi

Main Contact

Soo Jin Tan, Intel soo.jin.tan@intel.com

PoC Demo

Webinar Q4 2015 (Details will follow)

Abstract

Through the Video UE Optimization application running on the MEC server, the MEC application is able to recognize which are the paid video streams from the content provider. From there, the MEC application will assign higher priority to those video streams by ensuring higher bit rate. As a result, the paid subscribers will have a more guaranteed user experience when streaming video from the designated content provider.

PoC Proposal

MECIEG(15)000038r2_Video_User_Experience_Optimization_via_MEC_-_A_Service_Aware.docx

PoC Topics

This PoC is WORKING on: PT01 - Demonstration of MEC Service Scenarios