A Markov model for performance evaluation of CRRM algorithms in a co-located GERAN/UTRAN/WLAN scenario

Wu, L; Sandrasegaran, K; Elkashlan, M

A Markov model for performance evaluation of CRRM algorithms in a co-located GERAN/UTRAN/WLAN scenario

Wu, L

Sandrasegaran, K

Elkashlan, M

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Publication Type:: Conference Proceeding
Citation:: 2010 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2010 - Proceedings, 2010
Issue Date:: 2010-10-20

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Field	Value	Language
dc.contributor.author	Wu, L https://orcid.org/0000-0002-8577-0367	en_US
dc.contributor.author	Sandrasegaran, K https://orcid.org/0000-0003-1270-5756	en_US
dc.contributor.author	Elkashlan, M	en_US
dc.date.issued	2010-10-20	en_US
dc.identifier.citation	2010 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2010 - Proceedings, 2010	en_US
dc.identifier.isbn	9781424464067	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16520
dc.description.abstract	Next generation wireless networks will be heterogeneous. Multiple Radio Access Technologies (RATs) will be co-located in the same area. A challenge arising is the efficient radio resource management among overlapped RATs. The concept of Common Radio Resource Management (CRRM) has been proposed in the literature. One of the key issues of CRRM is the RAT selection algorithm. In order to support the conceptual development of Radio Access Technology (RAT) selection algorithms in heterogeneous networks, the theory of Markov model is used. This paper proposes a three-dimensional Markov model for an integrated GERAN/UTRAN/WLAN network based on the extension of existing two co-located RATs Markov models. The performance of two basic RAT selection algorithms: load balancing (LB) based and service based algorithms are evaluated in terms of call blocking probability. The numerical results obtained from our Markov model are validated by simulation results. © 2010 IEEE.	en_US
dc.relation.ispartof	2010 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2010 - Proceedings	en_US
dc.relation.isbasedon	10.1109/WCNCW.2010.5487655	en_US
dc.title	A Markov model for performance evaluation of CRRM algorithms in a co-located GERAN/UTRAN/WLAN scenario	en_US
dc.type	Conference Proceeding
utslib.for	1006 Computer Hardware	en_US
dc.location.activity	Sydney, Australia	en_US
dc.location.activity	Melbourne, Australia
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.publication-status	Published	en_US

Abstract:

Next generation wireless networks will be heterogeneous. Multiple Radio Access Technologies (RATs) will be co-located in the same area. A challenge arising is the efficient radio resource management among overlapped RATs. The concept of Common Radio Resource Management (CRRM) has been proposed in the literature. One of the key issues of CRRM is the RAT selection algorithm. In order to support the conceptual development of Radio Access Technology (RAT) selection algorithms in heterogeneous networks, the theory of Markov model is used. This paper proposes a three-dimensional Markov model for an integrated GERAN/UTRAN/WLAN network based on the extension of existing two co-located RATs Markov models. The performance of two basic RAT selection algorithms: load balancing (LB) based and service based algorithms are evaluated in terms of call blocking probability. The numerical results obtained from our Markov model are validated by simulation results. © 2010 IEEE.

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http://hdl.handle.net/10453/16520