Energy efficiency of small cell backhaul networks based on Gauss-Markov mobile models

Ge, X; Tu, S; Han, T; Li, Q; Mao, G

Energy efficiency of small cell backhaul networks based on Gauss-Markov mobile models

Ge, X Tu, S Han, T Li, Q Mao, G

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Publication Type:: Journal Article
Citation:: IET Networks, 2015, 4 (2), pp. 158 - 167
Issue Date:: 2015-01-01

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Field	Value	Language
dc.contributor.author	Ge, X	en_US
dc.contributor.author	Tu, S	en_US
dc.contributor.author	Han, T	en_US
dc.contributor.author	Li, Q	en_US
dc.contributor.author	Mao, G https://orcid.org/0000-0002-3598-4949	en_US
dc.date.issued	2015-01-01	en_US
dc.identifier.citation	IET Networks, 2015, 4 (2), pp. 158 - 167	en_US
dc.identifier.issn	2047-4954	en_US
dc.identifier.uri	http://hdl.handle.net/10453/41066
dc.description.abstract	© The Institution of Engineering and Technology 2015. To satisfy the recent growth of mobile data usage, small cells are recommended to deploy into conventional cellular networks. However, the massive backhaul traffic is a troublesome problem for small cell networks, especial in wireless backhaul transmission links. In this study, backhaul traffic models are first presented considering the Gauss-Markov mobile models of mobile stations in small cell networks. Furthermore, an energy efficiency model of small cell backhaul networks with Gauss-Markov mobile models has been proposed. Numerical results indicate that the energy efficiency of small cell backhaul networks can be optimised by trade-off the number and radius of small cells in cellular networks.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP120102030
dc.relation	http://purl.org/au-research/grants/arc/DP110100538
dc.relation.ispartof	IET Networks	en_US
dc.relation.isbasedon	10.1049/iet-net.2014.0081	en_US
dc.title	Energy efficiency of small cell backhaul networks based on Gauss-Markov mobile models	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	4	en_US
utslib.for	080501 Distributed and Grid Systems	en_US
utslib.for	100503 Computer Communications Networks	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	open_access
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	4	en_US

Abstract:

© The Institution of Engineering and Technology 2015. To satisfy the recent growth of mobile data usage, small cells are recommended to deploy into conventional cellular networks. However, the massive backhaul traffic is a troublesome problem for small cell networks, especial in wireless backhaul transmission links. In this study, backhaul traffic models are first presented considering the Gauss-Markov mobile models of mobile stations in small cell networks. Furthermore, an energy efficiency model of small cell backhaul networks with Gauss-Markov mobile models has been proposed. Numerical results indicate that the energy efficiency of small cell backhaul networks can be optimised by trade-off the number and radius of small cells in cellular networks.

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http://hdl.handle.net/10453/41066