Strict Frequency Reuse in Ultra Dense Networks

Lam, SC; Danh Huynh, H; Nguyen, QT; Sandrasegaran, K

Strict Frequency Reuse in Ultra Dense Networks

Lam, SC Danh Huynh, H Nguyen, QT Sandrasegaran, K

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Publication Type:: Conference Proceeding
Citation:: IEEE Region 10 Annual International Conference, Proceedings/TENCON, 2019, 2018-October pp. 1027 - 1032
Issue Date:: 2019-02-22

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Field	Value	Language
dc.contributor.author	Lam, SC	en_US
dc.contributor.author	Danh Huynh, H	en_US
dc.contributor.author	Nguyen, QT	en_US
dc.contributor.author	Sandrasegaran, K https://orcid.org/0000-0003-1270-5756	en_US
dc.date.available	2021-03-22T18:03:04Z
dc.date.issued	2019-02-22	en_US
dc.identifier.citation	IEEE Region 10 Annual International Conference, Proceedings/TENCON, 2019, 2018-October pp. 1027 - 1032	en_US
dc.identifier.isbn	9781538654576	en_US
dc.identifier.issn	2159-3442	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133464
dc.description.abstract	© 2018 IEEE. In this paper, the Ultra Dense Network (UDN) using Strict Frequency Reuse (FR) is modelled according to the 3GPP recommendations. The recent developed stretch path loss model is utilised to replace the traditional one. The user performance expressions in terms of user classification probability and average coverage probability are derived in Rayleigh fading environment. Throughout the analytical results, which are verified by Monte Carlo simulation, the new findings are presented such as in deep fading environment, the received signal strength at the user keeps constant when the transmit power of Base Station (BS) varies; when the density of BSs increases, the Cell-Center User (CCU) performance reduces continuously while Cell-Edge User (CEU) performance fluctuates.	en_US
dc.relation.ispartof	IEEE Region 10 Annual International Conference, Proceedings/TENCON	en_US
dc.relation.isbasedon	10.1109/TENCON.2018.8650328	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Strict Frequency Reuse in Ultra Dense Networks	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2018-October	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
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US
pubs.volume	2018-October	en_US

Abstract:

© 2018 IEEE. In this paper, the Ultra Dense Network (UDN) using Strict Frequency Reuse (FR) is modelled according to the 3GPP recommendations. The recent developed stretch path loss model is utilised to replace the traditional one. The user performance expressions in terms of user classification probability and average coverage probability are derived in Rayleigh fading environment. Throughout the analytical results, which are verified by Monte Carlo simulation, the new findings are presented such as in deep fading environment, the received signal strength at the user keeps constant when the transmit power of Base Station (BS) varies; when the density of BSs increases, the Cell-Center User (CCU) performance reduces continuously while Cell-Edge User (CEU) performance fluctuates.

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http://hdl.handle.net/10453/133464