Performance analysis of REM-based handover algorithm for multi-tier cellular networks

Suarez-Rodriguez, C; Jayawickrama, BA; He, Y; Bader, F; Heimlich, M

Performance analysis of REM-based handover algorithm for multi-tier cellular networks

Suarez-Rodriguez, C

Jayawickrama, BA He, Y

Bader, F Heimlich, M

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Publication Type:: Conference Proceeding
Citation:: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, 2018, 2017-October pp. 1 - 6
Issue Date:: 2018-02-14

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Field	Value	Language
dc.contributor.author	Suarez-Rodriguez, C https://orcid.org/0000-0001-7315-5300	en_US
dc.contributor.author	Jayawickrama, BA	en_US
dc.contributor.author	He, Y https://orcid.org/0000-0003-1603-9375	en_US
dc.contributor.author	Bader, F	en_US
dc.contributor.author	Heimlich, M	en_US
dc.date.issued	2018-02-14	en_US
dc.identifier.citation	IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, 2018, 2017-October pp. 1 - 6	en_US
dc.identifier.isbn	9781538635315	en_US
dc.identifier.uri	http://hdl.handle.net/10453/127498
dc.description.abstract	© 2017 IEEE. The advent of 5G networks, where a plethora of spectrum-sharing schemes are expected to be adopted as an answer to the ever-growing users' need for data traffic, will require addressing mobility ubiquitously. The trend initiated with the deployment of heterogeneous networks and past standards will give way to a multi-tiered network where different services will coexist, such as device-to-device, vehicle-to-vehicle or massive-machine communications. Because of the high variability in the cell sizes given the different transmit powers, the classical handover process, which relies solely on measurements, will lead to an unbearable network overhead as a consequence of the high number of handovers. The use of spatial databases, also known as radio environment maps (REM), was first introduced as a tool to detect opportunistic spectrum access opportunities in cognitive radio applications. Since then, REM usage has been widely expanded to cover deployment optimization, interference management or resource allocation to name a few. In this paper, we introduce a handover algorithm that can predict the best network connection for the current user's trajectory from a radio environment map. We consider a geometric approach to derive the handover and handover-failure regions and compare the current handover algorithm used in Long-Term Evolution with our proposed one. Results show a drastic reduction in the number of handovers while maintaining a trade-off between the ping-pong handover and the handover-failure probabilities.	en_US
dc.relation.ispartof	IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC	en_US
dc.relation.isbasedon	10.1109/PIMRC.2017.8292488	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Performance analysis of REM-based handover algorithm for multi-tier cellular networks	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2017-October	en_US
utslib.for	0805 Distributed Computing	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/Students
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US
pubs.volume	2017-October	en_US

Abstract:

© 2017 IEEE. The advent of 5G networks, where a plethora of spectrum-sharing schemes are expected to be adopted as an answer to the ever-growing users' need for data traffic, will require addressing mobility ubiquitously. The trend initiated with the deployment of heterogeneous networks and past standards will give way to a multi-tiered network where different services will coexist, such as device-to-device, vehicle-to-vehicle or massive-machine communications. Because of the high variability in the cell sizes given the different transmit powers, the classical handover process, which relies solely on measurements, will lead to an unbearable network overhead as a consequence of the high number of handovers. The use of spatial databases, also known as radio environment maps (REM), was first introduced as a tool to detect opportunistic spectrum access opportunities in cognitive radio applications. Since then, REM usage has been widely expanded to cover deployment optimization, interference management or resource allocation to name a few. In this paper, we introduce a handover algorithm that can predict the best network connection for the current user's trajectory from a radio environment map. We consider a geometric approach to derive the handover and handover-failure regions and compare the current handover algorithm used in Long-Term Evolution with our proposed one. Results show a drastic reduction in the number of handovers while maintaining a trade-off between the ping-pong handover and the handover-failure probabilities.

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http://hdl.handle.net/10453/127498