A simulation tool for downlink long term evolution-advanced

Ramli, HAM; Sandrasegaran, K; Ismail, AF; Latif, SA; Isa, FNM

A simulation tool for downlink long term evolution-advanced

Ramli, HAM Sandrasegaran, K

Ismail, AF Latif, SA Isa, FNM

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Publication Type:: Journal Article
Citation:: Research Journal of Applied Sciences, Engineering and Technology, 2014, 8 (19), pp. 2032 - 2041
Issue Date:: 2014-01-01

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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	Ismail, AF	en_US
dc.contributor.author	Latif, SA	en_US
dc.contributor.author	Isa, FNM	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	Research Journal of Applied Sciences, Engineering and Technology, 2014, 8 (19), pp. 2032 - 2041	en_US
dc.identifier.issn	2040-7459	en_US
dc.identifier.uri	http://hdl.handle.net/10453/38973
dc.description.abstract	© Maxwell Scientific Organization, 2014. Long Term Evolution-Advanced (LTE-A) is an emerging mobile cellular system envisaged to provide better quality of multimedia applications. Packet scheduling becomes paramount as the LTE-A delivers multimedia applications using packet switching technology. Given that LTE-A is a new technology, its ability to satisfy the Quality of Service (QoS) requirements of multimedia applications demands further performance study. At present, a number of LTE-A simulators are available. However, these simulators in general are too specific in nature or their source codes are not publicly accessible for the research communities. As such, this study presents a novel simulation tool to assist the research communities to study the downlink LTE-A and further optimize packet scheduling performance. This simulation tool accurately models the downlink LTE-A taking user mobility, carrier aggregation, packet scheduling and other aspects that are relevant to the research communities into consideration. The efficacy of the simulation tool is validated through performance study of a number of well-known packet scheduling algorithms.	en_US
dc.relation.ispartof	Research Journal of Applied Sciences, Engineering and Technology	en_US
dc.title	A simulation tool for downlink long term evolution-advanced	en_US
dc.type	Journal Article
utslib.citation.volume	19	en_US
utslib.citation.volume	8	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	0803 Computer Software	en_US
utslib.for	0908 Food Sciences	en_US
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/Strength - CRIN - Realtime Information Networks
utslib.copyright.status	closed_access
pubs.issue	19	en_US
pubs.publication-status	Published	en_US
pubs.volume	8	en_US

Abstract:

© Maxwell Scientific Organization, 2014. Long Term Evolution-Advanced (LTE-A) is an emerging mobile cellular system envisaged to provide better quality of multimedia applications. Packet scheduling becomes paramount as the LTE-A delivers multimedia applications using packet switching technology. Given that LTE-A is a new technology, its ability to satisfy the Quality of Service (QoS) requirements of multimedia applications demands further performance study. At present, a number of LTE-A simulators are available. However, these simulators in general are too specific in nature or their source codes are not publicly accessible for the research communities. As such, this study presents a novel simulation tool to assist the research communities to study the downlink LTE-A and further optimize packet scheduling performance. This simulation tool accurately models the downlink LTE-A taking user mobility, carrier aggregation, packet scheduling and other aspects that are relevant to the research communities into consideration. The efficacy of the simulation tool is validated through performance study of a number of well-known packet scheduling algorithms.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/38973