Models and optimisation methods for interference coordination in self-organising cellular networks

1.00
Hdl Handle:
http://hdl.handle.net/10547/295749
Title:
Models and optimisation methods for interference coordination in self-organising cellular networks
Authors:
Lopez-Perez, David
Abstract:
We are at that moment of network evolution when we have realised that our telecommunication systems should mimic features of human kind, e.g., the ability to understand the medium and take advantage of its changes. Looking towards the future, the mobile industry envisions the use of fully automatised cells able to self-organise all their parameters and procedures. A fully self-organised network is the one that is able to avoid human involvement and react to the fluctuations of network, traffic and channel through the automatic/autonomous nature of its functioning. Nowadays, the mobile community is far from this fully self-organised kind of network, but they are taken the first steps to achieve this target in the near future. This thesis hopes to contribute to the automatisation of cellular networks, providing models and tools to understand the behaviour of these networks, and algorithms and optimisation approaches to enhance their performance. This work focuses on the next generation of cellular networks, in more detail, in the DownLink (DL) of Orthogonal Frequency Division Multiple Access (OFDMA) based networks. Within this type of cellular system, attention is paid to interference mitigation in self-organising macrocell scenarios and femtocell deployments. Moreover, this thesis investigates the interference issues that arise when these two cell types are jointly deployed, complementing each other in what is currently known as a two-tier network. This thesis also provides new practical approaches to the inter-cell interference problem in both macro cell and femtocell OFDMA systems as well as in two-tier networks by means of the design of a novel framework and the use of mathematical optimisation. Special attention is paid to the formulation of optimisation problems and the development of well-performing solving methods (accurate and fast).
Citation:
Lopez-Perez, D. (2011) 'Models and optimisation methods for interference coordination in self-organising cellular networks'. PhD Thesis. University of Bedfordshire.
Publisher:
University of Bedfordshire
Issue Date:
1-Apr-2011
URI:
http://hdl.handle.net/10547/295749
Type:
Thesis or dissertation
Language:
en
Description:
A thesis submitted for the degree of Doctor of Philosophy
Appears in Collections:
PhD e-theses

Full metadata record

DC FieldValue Language
dc.contributor.authorLopez-Perez, Daviden_GB
dc.date.accessioned2013-07-11T09:13:39Z-
dc.date.available2013-07-11T09:13:39Z-
dc.date.issued2011-04-01-
dc.identifier.citationLopez-Perez, D. (2011) 'Models and optimisation methods for interference coordination in self-organising cellular networks'. PhD Thesis. University of Bedfordshire.en_GB
dc.identifier.urihttp://hdl.handle.net/10547/295749-
dc.descriptionA thesis submitted for the degree of Doctor of Philosophyen_GB
dc.description.abstractWe are at that moment of network evolution when we have realised that our telecommunication systems should mimic features of human kind, e.g., the ability to understand the medium and take advantage of its changes. Looking towards the future, the mobile industry envisions the use of fully automatised cells able to self-organise all their parameters and procedures. A fully self-organised network is the one that is able to avoid human involvement and react to the fluctuations of network, traffic and channel through the automatic/autonomous nature of its functioning. Nowadays, the mobile community is far from this fully self-organised kind of network, but they are taken the first steps to achieve this target in the near future. This thesis hopes to contribute to the automatisation of cellular networks, providing models and tools to understand the behaviour of these networks, and algorithms and optimisation approaches to enhance their performance. This work focuses on the next generation of cellular networks, in more detail, in the DownLink (DL) of Orthogonal Frequency Division Multiple Access (OFDMA) based networks. Within this type of cellular system, attention is paid to interference mitigation in self-organising macrocell scenarios and femtocell deployments. Moreover, this thesis investigates the interference issues that arise when these two cell types are jointly deployed, complementing each other in what is currently known as a two-tier network. This thesis also provides new practical approaches to the inter-cell interference problem in both macro cell and femtocell OFDMA systems as well as in two-tier networks by means of the design of a novel framework and the use of mathematical optimisation. Special attention is paid to the formulation of optimisation problems and the development of well-performing solving methods (accurate and fast).en_GB
dc.language.isoenen
dc.publisherUniversity of Bedfordshireen_GB
dc.subjectG420 Networks and Communicationsen_GB
dc.subjectself-organised networksen_GB
dc.subjectcellular networksen_GB
dc.subjectOrthogonal Frequency Division Multiple Accessen_GB
dc.subjectOFDMAen_GB
dc.subjectDownLinken_GB
dc.titleModels and optimisation methods for interference coordination in self-organising cellular networksen
dc.typeThesis or dissertationen
dc.type.qualificationnamePhDen_GB
dc.type.qualificationlevelPhDen
dc.publisher.institutionUniversity of Bedfordshireen_GB
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