Resource allocation technique for video streaming applications in the LTE system

Ramli, HAM; Sandrasegaran, K; Basukala, R; Patachaianand, R; Xue, M; Lin, CC

Resource allocation technique for video streaming applications in the LTE system

Ramli, HAM Sandrasegaran, K

Basukala, R Patachaianand, R Xue, M Lin, CC

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Publication Type:: Conference Proceeding
Citation:: WOCC2010 Technical Program - The 19th Annual Wireless and Optical Communications Conference: Converging Communications Around the Pacific, 2010
Issue Date:: 2010-08-20

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Field	Value	Language
dc.contributor.author	Ramli, HAM	en_US
dc.contributor.author	Sandrasegaran, K https://orcid.org/0000-0003-1270-5756	en_US
dc.contributor.author	Basukala, R	en_US
dc.contributor.author	Patachaianand, R	en_US
dc.contributor.author	Xue, M	en_US
dc.contributor.author	Lin, CC	en_US
dc.date.issued	2010-08-20	en_US
dc.identifier.citation	WOCC2010 Technical Program - The 19th Annual Wireless and Optical Communications Conference: Converging Communications Around the Pacific, 2010	en_US
dc.identifier.isbn	9781424475964	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16542
dc.description.abstract	Long term evolution (LTE) is the next generation wireless system that supports all IP transmission for multimedia services. The quality of service (QoS) requirements of multimedia services are one of the major challenges that need to be addressed by packet scheduling in the LTE system. This paper proposes a new resource allocation technique for real time (RT) video streaming applications in the downlink LTE system. Resource allocation, which is one of packet scheduling techniques, utilizes instantaneous downlink signal to noise ratio (SNR), packet delay and buffer information when determining the amount of radio resources to be allocated to a user. Simulation results show that the proposed technique outperforms opportunistic technique, a resource allocation technique discussed in the literature, by maximizing system throughput, efficiently utilizing the available radio resources and satisfying the QoS requirements of RT video streaming applications at a higher number of users. ©2010 IEEE.	en_US
dc.relation.ispartof	WOCC2010 Technical Program - The 19th Annual Wireless and Optical Communications Conference: Converging Communications Around the Pacific	en_US
dc.relation.isbasedon	10.1109/WOCC.2010.5510666	en_US
dc.title	Resource allocation technique for video streaming applications in the LTE system	en_US
dc.type	Conference Proceeding
utslib.for	111302 Optical Technology	en_US
dc.location.activity	Shanghai, China	en_US
dc.location.activity	Hammamet, Tunisia
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Long term evolution (LTE) is the next generation wireless system that supports all IP transmission for multimedia services. The quality of service (QoS) requirements of multimedia services are one of the major challenges that need to be addressed by packet scheduling in the LTE system. This paper proposes a new resource allocation technique for real time (RT) video streaming applications in the downlink LTE system. Resource allocation, which is one of packet scheduling techniques, utilizes instantaneous downlink signal to noise ratio (SNR), packet delay and buffer information when determining the amount of radio resources to be allocated to a user. Simulation results show that the proposed technique outperforms opportunistic technique, a resource allocation technique discussed in the literature, by maximizing system throughput, efficiently utilizing the available radio resources and satisfying the QoS requirements of RT video streaming applications at a higher number of users. ©2010 IEEE.

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http://hdl.handle.net/10453/16542