A Markovian Model for Load-Balancing Based and Service Based Algorithms in B3G Networks

Al Sabbagh, A; Braun, RM

A Markovian Model for Load-Balancing Based and Service Based Algorithms in B3G Networks

Al Sabbagh, A

Braun, RM

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Publisher:: World Academy of Science, Engineering and Technology (WASET)
Publication Type:: Conference Proceeding
Citation:: International Conference on Communications, Networking and Mobile Computing (ICCNMC 2011), 2011, pp. 827 - 833
Issue Date:: 2011-01

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Field	Value	Language
dc.contributor.author	Al Sabbagh, A https://orcid.org/0000-0002-9015-8498	en_US
dc.contributor.author	Braun, RM https://orcid.org/0000-0002-4153-8769	en_US
dc.contributor.editor	Cemal Ardil	en_US
dc.date	2011-01-25	en_US
dc.date.issued	2011-01	en_US
dc.identifier.citation	International Conference on Communications, Networking and Mobile Computing (ICCNMC 2011), 2011, pp. 827 - 833	en_US
dc.identifier.issn	2070-3724	en_US
dc.identifier.uri	http://hdl.handle.net/10453/31258
dc.description.abstract	Next Generation Wireless Network (NGWN) is expected to be a heterogeneous network which integrates all different Radio Access Technologies (RATs) through a common platform. A major challenge is how to allocate users to the most suitable RAT for them. An optimized solution can lead to maximize the efficient use of radio resources, achieve better performance for service providers and provide Quality of Service (QoS) with low costs to users. Currently, Radio Resource Management (RRM) is implemented efficiently for the RAT that it was developed. However, it is not suitable for a heterogeneous network. Common RRM (CRRM) was proposed to manage radio resource utilization in the heterogeneous network. This paper presents a user level Markov model for a three co-located RAT networks. The load-balancing based and service based CRRM algorithms have been studied using the presented Markov model. A comparison for the performance of load-balancing based and service based CRRM algorithms is studied in terms of traffic distribution, new call blocking probability, vertical handover (VHO) call dropping probability and throughput.	en_US
dc.publisher	World Academy of Science, Engineering and Technology (WASET)	en_US
dc.relation.ispartof	International Conference on Communications, Networking and Mobile Computing (ICCNMC 2011)	en_US
dc.relation.ispartof	International Conference on Networking and Mobile Computing	en_US
dc.title	A Markovian Model for Load-Balancing Based and Service Based Algorithms in B3G Networks	en_US
dc.type	Conference Proceeding
utslib.location	UAE	en_US
utslib.location.activity	Dubai, UAE	en_US
utslib.for	0805 Distributed Computing	en_US
dc.location.activity	Dubai, UAE
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/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.finish-date	2011-01-27	en_US
pubs.place-of-publication	UAE	en_US
pubs.start-date	2011-01-25	en_US

Abstract:

Next Generation Wireless Network (NGWN) is expected to be a heterogeneous network which integrates all different Radio Access Technologies (RATs) through a common platform. A major challenge is how to allocate users to the most suitable RAT for them. An optimized solution can lead to maximize the efficient use of radio resources, achieve better performance for service providers and provide Quality of Service (QoS) with low costs to users. Currently, Radio Resource Management (RRM) is implemented efficiently for the RAT that it was developed. However, it is not suitable for a heterogeneous network. Common RRM (CRRM) was proposed to manage radio resource utilization in the heterogeneous network. This paper presents a user level Markov model for a three co-located RAT networks. The load-balancing based and service based CRRM algorithms have been studied using the presented Markov model. A comparison for the performance of load-balancing based and service based CRRM algorithms is studied in terms of traffic distribution, new call blocking probability, vertical handover (VHO) call dropping probability and throughput.

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http://hdl.handle.net/10453/31258