Cost Efficiency Optimization of 5G Wireless Backhaul Networks

Ge, X; Tu, S; Mao, G; Lau, VKN; Pan, L

Cost Efficiency Optimization of 5G Wireless Backhaul Networks

Ge, X Tu, S Mao, G

Lau, VKN Pan, L

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Mobile Computing, 2019, 18 (12), pp. 2796 - 2810
Issue Date:: 2019-12-01

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Field	Value	Language
dc.contributor.author	Ge, X	en_US
dc.contributor.author	Tu, S	en_US
dc.contributor.author	Mao, G https://orcid.org/0000-0002-3598-4949	en_US
dc.contributor.author	Lau, VKN	en_US
dc.contributor.author	Pan, L	en_US
dc.date.issued	2019-12-01	en_US
dc.identifier.citation	IEEE Transactions on Mobile Computing, 2019, 18 (12), pp. 2796 - 2810	en_US
dc.identifier.issn	1536-1233	en_US
dc.identifier.uri	http://hdl.handle.net/10453/131303
dc.description.abstract	© 2002-2012 IEEE. The wireless backhaul network provides an attractive solution for the urban deployment of fifth generation (5G) wireless networks that enables future ultra dense small cell networks to meet the ever-increasing user demands. Optimal deployment and management of 5G wireless backhaul networks is an interesting and challenging issue. In this paper, we propose the optimal gateways deployment and wireless backhaul route schemes to maximize the cost efficiency of 5G wireless backhaul networks. In generally, the changes of gateways deployment and wireless backhaul route are presented in different time scales. Specifically, the number and locations of gateways are optimized in the long time scale of 5G wireless backhaul networks. The wireless backhaul routings are optimized in the short time scale of 5G wireless backhaul networks considering the time-variant over wireless channels. Numerical results show the gateways and wireless backhaul route optimization significantly increases the cost efficiency of 5G wireless backhaul networks. Moreover, the cost efficiency of proposed optimization algorithm is better than that of conventional and most widely used shortest path (SP) and Bellman-Ford (BF) algorithms in 5G wireless backhaul networks.	en_US
dc.relation.ispartof	IEEE Transactions on Mobile Computing	en_US
dc.relation.isbasedon	10.1109/TMC.2018.2886897	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	Cost Efficiency Optimization of 5G Wireless Backhaul Networks	en_US
dc.type	Journal Article
utslib.citation.volume	12	en_US
utslib.citation.volume	18	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	1005 Communications Technologies	en_US
utslib.for	0906 Electrical and Electronic Engineering	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	12	en_US
pubs.publication-status	Published	en_US
pubs.volume	18	en_US

Abstract:

© 2002-2012 IEEE. The wireless backhaul network provides an attractive solution for the urban deployment of fifth generation (5G) wireless networks that enables future ultra dense small cell networks to meet the ever-increasing user demands. Optimal deployment and management of 5G wireless backhaul networks is an interesting and challenging issue. In this paper, we propose the optimal gateways deployment and wireless backhaul route schemes to maximize the cost efficiency of 5G wireless backhaul networks. In generally, the changes of gateways deployment and wireless backhaul route are presented in different time scales. Specifically, the number and locations of gateways are optimized in the long time scale of 5G wireless backhaul networks. The wireless backhaul routings are optimized in the short time scale of 5G wireless backhaul networks considering the time-variant over wireless channels. Numerical results show the gateways and wireless backhaul route optimization significantly increases the cost efficiency of 5G wireless backhaul networks. Moreover, the cost efficiency of proposed optimization algorithm is better than that of conventional and most widely used shortest path (SP) and Bellman-Ford (BF) algorithms in 5G wireless backhaul networks.

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http://hdl.handle.net/10453/131303