Title :
Enhanced adaptive streaming over LTE-advanced wireless networks
Author :
Foerster, J. ; Oyman, Ozgur ; Yiting Liao ; Rehan, Muhammad ; Taie, W.
Author_Institution :
Intel Labs., Intel Corp., Hillsboro, OR, USA
Abstract :
Video content is quickly dominating the traffic over wireless networks and is creating significant challenges for managing this traffic efficiently while still delivering an acceptable quality of experience (QoE) to the end user. HTTP-based adaptive streaming techniques are growing in popularity to deliver video content from over-the-top providers to mobile devices, but have not yet been specifically optimized for wireless networks. This paper will present the latest activities on optimizing adaptive streaming protocols for LTE-Advanced wireless networks, including simulation results highlighting the factors which impact the QoE for video streaming applications in mobile networks, new QoE subjective tests and objective predictions which can be used for improving the efficiency of streaming, and capacity analysis with client-based feedback mechanisms to enable a more coordinated and optimized end-to-end system.
Keywords :
Long Term Evolution; feedback; protocols; telecommunication traffic; HTTP-based adaptive streaming techniques; LTE-Advanced wireless networks; QoE subjeetive tests; adaptive streaming protocols; capacity analysis; client-based feedback mechanisms; coordinated end-to-end system; enhanced adaptive streaming; mobile devices; optimized end-to-end system; over-the-top providers; quality of experience; traffic; video content; video streaming;
Conference_Titel :
Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4673-5050-1
DOI :
10.1109/ACSSC.2012.6489149