A Fuzzy-based mobility prediction in the IEEE 802.16e

Intersystem mobility having no awkward transitions or indications of disparity, roaming across wireless access networks is one of the main features of Mobile WiMAX. In this paper, we propose a mobility prediction method based on fuzzy logic control and an algorithm similar to the fuzzy c- mean parti...

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Main Authors:	Al-khateeb, Mohammed K., Hassan Abdalla Hashim, Aisha
Format:	Article
Language:	English
Published:	2009
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/11475/ http://irep.iium.edu.my/11475/4/3-12-1-PB.pdf

id	iium-11475
recordtype	eprints
spelling	iium-114752017-06-13T07:27:39Z http://irep.iium.edu.my/11475/ A Fuzzy-based mobility prediction in the IEEE 802.16e Al-khateeb, Mohammed K. Hassan Abdalla Hashim, Aisha TK Electrical engineering. Electronics Nuclear engineering Intersystem mobility having no awkward transitions or indications of disparity, roaming across wireless access networks is one of the main features of Mobile WiMAX. In this paper, we propose a mobility prediction method based on fuzzy logic control and an algorithm similar to the fuzzy c- mean partitioning to predict the movement patterns and handover times by measuring mobile users’ velocity and monitoring the received signal strength of the serving base stations and target base stations simultaneously. With the help of the prediction, reserving the required amount of resources for the upcoming handover event at the target base station can occur before handover initiation and execution. This would grant mobile users of high priority connections (e.g., UGS basedVoIP connection) accessibility to the target base station with no connection termination at various loading situations. The viability and efficiency of the method is demonstrated through experiments conducted with system parameters and propagation model defined by WiMAX Forum. This is to show that the prediction of the future handover times based on predicted received signal strength trend is accurate to maintain the promised QoS level and to reduce the total handover delays caused by layer-3 handover initiation. This allows Layer-3 handover initiation to occur before Layer-2 initiation. 2009 Article NonPeerReviewed application/pdf en http://irep.iium.edu.my/11475/4/3-12-1-PB.pdf Al-khateeb, Mohammed K. and Hassan Abdalla Hashim, Aisha (2009) A Fuzzy-based mobility prediction in the IEEE 802.16e. International Journal of Communication Networks and Information Security (IJCNIS), 1 (1). pp. 14-19. ISSN 2073-607
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Al-khateeb, Mohammed K. Hassan Abdalla Hashim, Aisha A Fuzzy-based mobility prediction in the IEEE 802.16e
description	Intersystem mobility having no awkward transitions or indications of disparity, roaming across wireless access networks is one of the main features of Mobile WiMAX. In this paper, we propose a mobility prediction method based on fuzzy logic control and an algorithm similar to the fuzzy c- mean partitioning to predict the movement patterns and handover times by measuring mobile users’ velocity and monitoring the received signal strength of the serving base stations and target base stations simultaneously. With the help of the prediction, reserving the required amount of resources for the upcoming handover event at the target base station can occur before handover initiation and execution. This would grant mobile users of high priority connections (e.g., UGS basedVoIP connection) accessibility to the target base station with no connection termination at various loading situations. The viability and efficiency of the method is demonstrated through experiments conducted with system parameters and propagation model defined by WiMAX Forum. This is to show that the prediction of the future handover times based on predicted received signal strength trend is accurate to maintain the promised QoS level and to reduce the total handover delays caused by layer-3 handover initiation. This allows Layer-3 handover initiation to occur before Layer-2 initiation.
format	Article
author	Al-khateeb, Mohammed K. Hassan Abdalla Hashim, Aisha
author_facet	Al-khateeb, Mohammed K. Hassan Abdalla Hashim, Aisha
author_sort	Al-khateeb, Mohammed K.
title	A Fuzzy-based mobility prediction in the IEEE 802.16e
title_short	A Fuzzy-based mobility prediction in the IEEE 802.16e
title_full	A Fuzzy-based mobility prediction in the IEEE 802.16e
title_fullStr	A Fuzzy-based mobility prediction in the IEEE 802.16e
title_full_unstemmed	A Fuzzy-based mobility prediction in the IEEE 802.16e
title_sort	fuzzy-based mobility prediction in the ieee 802.16e
publishDate	2009
url	http://irep.iium.edu.my/11475/ http://irep.iium.edu.my/11475/4/3-12-1-PB.pdf
first_indexed	2023-09-18T20:20:47Z
last_indexed	2023-09-18T20:20:47Z
_version_	1777408092720332800

A Fuzzy-based mobility prediction in the IEEE 802.16e

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