Title :
Energy-efficient HTTP adaptive streaming for high-quality video over HetNets
Author :
Yunmin Go;Oh Chan Kwon;Hwanjun Song
Author_Institution :
Div. of IT Convergence Engineering, POSTECH (Pohang University of Science and Technology), Pohang, Republic of Korea
Abstract :
In this work, we propose an energy-efficient HTTP adaptive streaming for high-quality video over heterogeneous networks (HetNets). To support high-quality video and overcome the limitations of a single network, the proposed system downloads the video segments by concurrently using the HetNets. In the proposed system, the segment bitrate, number of requested segments, network sleep time, and size of requested data through each wireless network are determined adaptively to provide seamless high-quality video streaming in an energy and cost efficient way. The proposed system is fully implemented in an Android-based mobile device and tested in an actual wireless network environments.
Keywords :
"Artificial neural networks","Land mobile radio","Business","Energy consumption","Adaptive systems","Heterogeneous networks","Energy efficiency"
Conference_Titel :
Personal, Indoor, and Mobile Radio Communications (PIMRC), 2015 IEEE 26th Annual International Symposium on
DOI :
10.1109/PIMRC.2015.7343639