PoC 1 Video User Experience Optimization via MEC - A Service Aware RAN PoC: Difference between revisions
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== PoC Demo == | == PoC Demo == | ||
Webinar Q4 2015 (Details will follow) | 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 == | == 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