Self-organizing network technique for resource allocation and mobility management in LTE femtocell network / Labeeb Mohsin Abdullah

Ubiquitous mobile communication requires increased capacity and appropriate quality of services for real time applications. To meet these demands, me 4‘h generation LTE mobile network operators has deployed femtocell access points next to the conventional base station structure. This deployment will...

Full description

Saved in:

Bibliographic Details
Main Author:	Abdullah, Labeeb Mohsin
Format:	Thesis
Language:	English
Published:	2015
Subjects:	Electric power distribution Electric power transmission Applications of electric power
Online Access:	https://ir.uitm.edu.my/id/eprint/39944/1/39944.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.39944
record_format	uketd_dc
spelling	my-uitm-ir.399442023-01-12T07:20:44Z Self-organizing network technique for resource allocation and mobility management in LTE femtocell network / Labeeb Mohsin Abdullah 2015 Abdullah, Labeeb Mohsin Electric power distribution. Electric power transmission Applications of electric power Ubiquitous mobile communication requires increased capacity and appropriate quality of services for real time applications. To meet these demands, me 4‘h generation LTE mobile network operators has deployed femtocell access points next to the conventional base station structure. This deployment will extensively enhance capacity and service coverage for the customers. However, the presence of femtocell generates new challenges. In this thesis, the issues of concern include assigning the limited resources of Physical Cell Identity (PCI) for the high number of deployed femtocells, to ensure network collision and confusion free after deploying the PCI, determine the exact geographic location of femtocell, and identifying the learning parameters for the optimized self—organizing handover process for LTE femtocell-based networks. The commonality between the aforementioned issues of concern is the adoption of Self—Organizing Network (SON) technology concept as the basis for the proposed solutions for the above-mentioned challenges. MATLAB and Vienna LTE simulators were used to conduct the experiments for the proposed algorithms, approaches and schemes and also used to verify the results. Essentially, three experiments were conducted using Matlab; the first is to allocate PCI resources and to configure conflict flee network. The first experiment was conducted by applying two approaches i) graph colouring algorithm, ii) DLS scheme. The second experiment was to determine the femtocell location by using DSL scheme as well. The third experiment was conducted using Vienna LTE simulator to evaluate the performance of the proposed optimized handover mechanism and reducing redundant handover by applying the most appropriate self-learning handover parameters. The result shows that the proposed SON-based mechanism for resource allocation and mobility management in LTE femtocell network has improved the overall network performance in terms of free network conflict, PCI reassignment reduction, capability to locate the geographic location of femtocell, higher throughput, reduced handover failure rate and the unnecessary handover. 2015 Thesis https://ir.uitm.edu.my/id/eprint/39944/ https://ir.uitm.edu.my/id/eprint/39944/1/39944.pdf text en public phd doctoral Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Baba, Mohd Dani (Prof. Dr.)
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Baba, Mohd Dani (Prof. Dr.)
topic	Electric power distribution Electric power transmission Applications of electric power
spellingShingle	Electric power distribution Electric power transmission Applications of electric power Abdullah, Labeeb Mohsin Self-organizing network technique for resource allocation and mobility management in LTE femtocell network / Labeeb Mohsin Abdullah
description	Ubiquitous mobile communication requires increased capacity and appropriate quality of services for real time applications. To meet these demands, me 4‘h generation LTE mobile network operators has deployed femtocell access points next to the conventional base station structure. This deployment will extensively enhance capacity and service coverage for the customers. However, the presence of femtocell generates new challenges. In this thesis, the issues of concern include assigning the limited resources of Physical Cell Identity (PCI) for the high number of deployed femtocells, to ensure network collision and confusion free after deploying the PCI, determine the exact geographic location of femtocell, and identifying the learning parameters for the optimized self—organizing handover process for LTE femtocell-based networks. The commonality between the aforementioned issues of concern is the adoption of Self—Organizing Network (SON) technology concept as the basis for the proposed solutions for the above-mentioned challenges. MATLAB and Vienna LTE simulators were used to conduct the experiments for the proposed algorithms, approaches and schemes and also used to verify the results. Essentially, three experiments were conducted using Matlab; the first is to allocate PCI resources and to configure conflict flee network. The first experiment was conducted by applying two approaches i) graph colouring algorithm, ii) DLS scheme. The second experiment was to determine the femtocell location by using DSL scheme as well. The third experiment was conducted using Vienna LTE simulator to evaluate the performance of the proposed optimized handover mechanism and reducing redundant handover by applying the most appropriate self-learning handover parameters. The result shows that the proposed SON-based mechanism for resource allocation and mobility management in LTE femtocell network has improved the overall network performance in terms of free network conflict, PCI reassignment reduction, capability to locate the geographic location of femtocell, higher throughput, reduced handover failure rate and the unnecessary handover.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Abdullah, Labeeb Mohsin
author_facet	Abdullah, Labeeb Mohsin
author_sort	Abdullah, Labeeb Mohsin
title	Self-organizing network technique for resource allocation and mobility management in LTE femtocell network / Labeeb Mohsin Abdullah
title_short	Self-organizing network technique for resource allocation and mobility management in LTE femtocell network / Labeeb Mohsin Abdullah
title_full	Self-organizing network technique for resource allocation and mobility management in LTE femtocell network / Labeeb Mohsin Abdullah
title_fullStr	Self-organizing network technique for resource allocation and mobility management in LTE femtocell network / Labeeb Mohsin Abdullah
title_full_unstemmed	Self-organizing network technique for resource allocation and mobility management in LTE femtocell network / Labeeb Mohsin Abdullah
title_sort	self-organizing network technique for resource allocation and mobility management in lte femtocell network / labeeb mohsin abdullah
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2015
url	https://ir.uitm.edu.my/id/eprint/39944/1/39944.pdf
_version_	1783734547493421056

Self-organizing network technique for resource allocation and mobility management in LTE femtocell network / Labeeb Mohsin Abdullah

Similar Items