DocumentCode :
263967
Title :
QoE-based network-centric resource allocation for on-demand uplink adaptive HTTP streaming over LTE network
Author :
Pervez, Farhan ; Raheel, Muhammad Salman
Author_Institution :
Dept. of Electr. Eng., COMSATS Inst. of Inf. Technol., Lahore, Pakistan
fYear :
2014
fDate :
15-17 Oct. 2014
Firstpage :
1
Lastpage :
5
Abstract :
With the advent of community portals and video sharing websites, production and consumption of multimedia content has increased tremendously. It is because of excellent video recording capabilities of cameras available with mobile devices, and enhanced data rates offered by cellular networks, that the uploading of high quality multimedia content is more realistic. Nowadays most of the video traffic is HTTP-based, that provides rate adaptive streaming, known as Dynamic Adaptive Streaming over HTTP (DASH). In this work we generate DASH video streams that can be supported on LTE uplink and then assign resources to the video producers such that the QoE of on-demand viewers is maximized.
Keywords :
Long Term Evolution; cellular radio; hypermedia; quality of experience; resource allocation; telecommunication traffic; transport protocols; video recording; video streaming; DASH video streams; LTE network; QoE-based network-centric resource allocation; adaptive HTTP streaming; cameras; cellular networks; dynamic adaptive streaming; mobile devices; multimedia content; on-demand uplink; quality of experience; rate adaptive streaming; video recording; video traffic; Bit rate; Media; Resource management; Static VAr compensators; Streaming media; Uplink; Video coding; DASH (Dynamic Adaptive Streaming over HTTP); QoE (Quality of Experience); Uplink; resource management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Application of Information and Communication Technologies (AICT), 2014 IEEE 8th International Conference on
Conference_Location :
Astana
Print_ISBN :
978-1-4799-4120-9
Type :
conf
DOI :
10.1109/ICAICT.2014.7035971
Filename :
7035971
Link To Document :
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