A mobility optimization CRRM approach for next generation wireless networks

Sabbagh, AAL; Braun, R; Abolhasan, M

A mobility optimization CRRM approach for next generation wireless networks

Sabbagh, AAL

Braun, R

Abolhasan, M

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Publication Type:: Conference Proceeding
Citation:: 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings, 2012, 2 pp. 609 - 613
Issue Date:: 2012-10-30

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Field	Value	Language
dc.contributor.author	Sabbagh, AAL https://orcid.org/0000-0002-9015-8498	en_US
dc.contributor.author	Braun, R https://orcid.org/0000-0002-4153-8769	en_US
dc.contributor.author	Abolhasan, M https://orcid.org/0000-0002-4282-6666	en_US
dc.date.issued	2012-10-30	en_US
dc.identifier.citation	2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings, 2012, 2 pp. 609 - 613	en_US
dc.identifier.isbn	9781467319386	en_US
dc.identifier.uri	http://hdl.handle.net/10453/31546
dc.description.abstract	Next Generation Wireless Networks (NGWN) are predicted to be heterogeneous in nature. This is achieved through the integration of different Radio Access Technologies (RATs) over a common platform. Common Radio Resource Management (CRRM) was proposed to manage radio resource utilization in heterogeneous wireless networks and to provide required Quality of Service (QoS) for allocated calls. RAT selection algorithms are an integral part of the CRRM algorithms. Their role is to decide, when a new or Vertical Handover (VHO) call is requested, which of the available RATs is most suitable to fit the need of the incoming call and when to admit them. In this paper, we propose an intelligent hybrid RAT selection approach for mobility optimization (patent pending) which includes sorting available RATs, collecting information on each RAT using the IEEE P1900.4 Protocol, and making decisions for selecting the most suitable RAT for incoming calls. A comparison for the performance of centralized load-balancing, distributed and the proposed mobility optimization algorithms is presented in terms of new calls blocking probability, VHO calls dropping probability and satisfactions probability. Simulation results show that the proposed algorithm performs better than the centralized load-balancing and distributed algorithms in terms of blocking, dropping and satisfactions probabilities. © 2012 IEEE.	en_US
dc.relation.ispartof	2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings	en_US
dc.relation.isbasedon	10.1109/ICCISci.2012.6297102	en_US
dc.title	A mobility optimization CRRM approach for next generation wireless networks	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2	en_US
utslib.for	1005 Communications Technologies	en_US
dc.location.activity	Kuala Lumpur, Malaysia
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.publication-status	Published	en_US
pubs.volume	2	en_US

Abstract:

Next Generation Wireless Networks (NGWN) are predicted to be heterogeneous in nature. This is achieved through the integration of different Radio Access Technologies (RATs) over a common platform. Common Radio Resource Management (CRRM) was proposed to manage radio resource utilization in heterogeneous wireless networks and to provide required Quality of Service (QoS) for allocated calls. RAT selection algorithms are an integral part of the CRRM algorithms. Their role is to decide, when a new or Vertical Handover (VHO) call is requested, which of the available RATs is most suitable to fit the need of the incoming call and when to admit them. In this paper, we propose an intelligent hybrid RAT selection approach for mobility optimization (patent pending) which includes sorting available RATs, collecting information on each RAT using the IEEE P1900.4 Protocol, and making decisions for selecting the most suitable RAT for incoming calls. A comparison for the performance of centralized load-balancing, distributed and the proposed mobility optimization algorithms is presented in terms of new calls blocking probability, VHO calls dropping probability and satisfactions probability. Simulation results show that the proposed algorithm performs better than the centralized load-balancing and distributed algorithms in terms of blocking, dropping and satisfactions probabilities. © 2012 IEEE.

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http://hdl.handle.net/10453/31546