A new 3D statistical method for mobile channel model

Yang, Y; Fang, G; Dutkiewicz, E; Li, Y

A new 3D statistical method for mobile channel model

Yang, Y Fang, G Dutkiewicz, E

Li, Y

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Publication Type:: Conference Proceeding
Citation:: Advances in Intelligent Systems and Computing, 2013, 180 AISC pp. 945 - 951
Issue Date:: 2013-01-01

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Field	Value	Language
dc.contributor.author	Yang, Y	en_US
dc.contributor.author	Fang, G	en_US
dc.contributor.author	Dutkiewicz, E https://orcid.org/0000-0002-4268-9286	en_US
dc.contributor.author	Li, Y	en_US
dc.date.issued	2013-01-01	en_US
dc.identifier.citation	Advances in Intelligent Systems and Computing, 2013, 180 AISC pp. 945 - 951	en_US
dc.identifier.isbn	9783642316555	en_US
dc.identifier.issn	2194-5357	en_US
dc.identifier.uri	http://hdl.handle.net/10453/120963
dc.description.abstract	3-dimension statistical method is used to simulate the popular micro-cell propagation model: COST231-Walfish-Ikegami model[6][7]. The extended model allows for improved path loss estimation by consideration the character of the urban environment parameters are lognormal random variables rather than deterministic. The numerical calculation results and trial measurement data is presented. Based on the measurement and modelling results, we find that the 3D COST231-WI model fits very well with the measurement result in the metropolitan scenario. The conclusion is useful and helpful to network planning in the future. © 2013 Springer-Verlag.	en_US
dc.relation.ispartof	Advances in Intelligent Systems and Computing	en_US
dc.relation.isbasedon	10.1007/978-3-642-31656-2_130	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	A new 3D statistical method for mobile channel model	en_US
dc.type	Conference Proceeding
utslib.citation.volume	180 AISC	en_US
utslib.for	100510 Wireless Communications	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 - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US
pubs.volume	180 AISC	en_US

Abstract:

3-dimension statistical method is used to simulate the popular micro-cell propagation model: COST231-Walfish-Ikegami model[6][7]. The extended model allows for improved path loss estimation by consideration the character of the urban environment parameters are lognormal random variables rather than deterministic. The numerical calculation results and trial measurement data is presented. Based on the measurement and modelling results, we find that the 3D COST231-WI model fits very well with the measurement result in the metropolitan scenario. The conclusion is useful and helpful to network planning in the future. © 2013 Springer-Verlag.

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http://hdl.handle.net/10453/120963