Adaptive fuzzy logic handover algorithms for next generation mobile networks

This work focuses on the design of handover algorithms that will improve the handover decision making process and at the same time provide the flexibility to change performance indicators when the need arises. It will incorporate the training capability derived from the artificial neural networks to...

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Main Author:	Kwong, Chiew Foong
Format:	Thesis
Published:	2015
Subjects:	QA Mathematics
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id	my-mmu-ep.6340
record_format	uketd_dc
spelling	my-mmu-ep.63402016-06-09T09:11:28Z Adaptive fuzzy logic handover algorithms for next generation mobile networks 2015-08 Kwong, Chiew Foong QA Mathematics This work focuses on the design of handover algorithms that will improve the handover decision making process and at the same time provide the flexibility to change performance indicators when the need arises. It will incorporate the training capability derived from the artificial neural networks to tune the fuzzy logic controller to achieve at least a near-optimal output. With this adaptive capability, the algorithms can minimise the need for human intervention during initial deployment, optimisation and maintenance of network elements. The main contributions of this thesis are summarised as follows: firstly, a new handover triggering scheme is designed which incorporates fuzzy logic with adaptive capabilities to improve and optimise the handover decision process, followed by comparative performance analysis between the conventional and the new adaptive fuzzy logic handover decision algorithms in homogeneous networks. The adaptive fuzzy logic controller (FLC) will also be applied in LTE's mobility management scenarios where it will contribute to a larger framework envisioned by SONs to reduce OPEX. This is followed by comparative performance studies of the new algorithms with the existing LTE's handover algorithms. Secondly, the selection of eNBs in the SON’s automatic neighbour relation (ANR) function has been improved with a design of an additional function called the neighbour sorting function (NSF). It will sort and rank the possible eNBs to handover based on the QoS requirements. Finally, the adaptive nature of the algorithms can also be applied to optimise the existing LTE's handover triggering parameters such as time-to-trigger (TTT) and handover margin (HOM). 2015-08 Thesis http://shdl.mmu.edu.my/6340/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php phd doctoral Multimedia University Faculty of Engineering
institution	Multimedia University
collection	MMU Institutional Repository
topic	QA Mathematics
spellingShingle	QA Mathematics Kwong, Chiew Foong Adaptive fuzzy logic handover algorithms for next generation mobile networks
description	This work focuses on the design of handover algorithms that will improve the handover decision making process and at the same time provide the flexibility to change performance indicators when the need arises. It will incorporate the training capability derived from the artificial neural networks to tune the fuzzy logic controller to achieve at least a near-optimal output. With this adaptive capability, the algorithms can minimise the need for human intervention during initial deployment, optimisation and maintenance of network elements. The main contributions of this thesis are summarised as follows: firstly, a new handover triggering scheme is designed which incorporates fuzzy logic with adaptive capabilities to improve and optimise the handover decision process, followed by comparative performance analysis between the conventional and the new adaptive fuzzy logic handover decision algorithms in homogeneous networks. The adaptive fuzzy logic controller (FLC) will also be applied in LTE's mobility management scenarios where it will contribute to a larger framework envisioned by SONs to reduce OPEX. This is followed by comparative performance studies of the new algorithms with the existing LTE's handover algorithms. Secondly, the selection of eNBs in the SON’s automatic neighbour relation (ANR) function has been improved with a design of an additional function called the neighbour sorting function (NSF). It will sort and rank the possible eNBs to handover based on the QoS requirements. Finally, the adaptive nature of the algorithms can also be applied to optimise the existing LTE's handover triggering parameters such as time-to-trigger (TTT) and handover margin (HOM).
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Kwong, Chiew Foong
author_facet	Kwong, Chiew Foong
author_sort	Kwong, Chiew Foong
title	Adaptive fuzzy logic handover algorithms for next generation mobile networks
title_short	Adaptive fuzzy logic handover algorithms for next generation mobile networks
title_full	Adaptive fuzzy logic handover algorithms for next generation mobile networks
title_fullStr	Adaptive fuzzy logic handover algorithms for next generation mobile networks
title_full_unstemmed	Adaptive fuzzy logic handover algorithms for next generation mobile networks
title_sort	adaptive fuzzy logic handover algorithms for next generation mobile networks
granting_institution	Multimedia University
granting_department	Faculty of Engineering
publishDate	2015
_version_	1747829632631046144

Adaptive fuzzy logic handover algorithms for next generation mobile networks

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