Interactions Study of Self Optimizing Schemes in LTE Femtocell Networks
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Authors
El-murtadi Suleiman, Kais
Date
2012-12-06
Type
thesis
Language
eng
Keyword
LTE , Interaction , CAC , Self Organizing Network , Load Balancing , Evaluation , SON , LTE-Advanced , LTE-A , Long Term Evolution , Guideline , Recommendation , Self Optimizing Network , Optimization , Femtocell , Organization , Use Case , Handover , Coordination , Call Admission Control
Alternative Title
Abstract
One of the enabling technologies for Long Term Evolution (LTE) deployments is the
femtocell technology. By having femtocells deployed indoors and closer to the user,
high data rate services can be provided efficiently. These femtocells are expected
to be depolyed in large numbers which raises many technical challenges including
the handover management. In fact, managing handovers in femtocell environments,
with the conventional manual adjustment techniques, is almost impossible to keep
pace with in such a rapidly growing femtocell environment. Therefore, doing this
automatically by implementing Self Organizing Network (SON) use cases becomes a
necessity rather than an option. However, having multiple SON use cases operating
simultaneously with a shared objective could cause them to interact either negatively
or positively. In both cases, designing a suitable coordination policy is critical in
solving negative conflicts and building upon positive benefits.
In this work, we focus on studying the interactions between three self optimization
use cases aiming at improving the overall handover procedure in LTE femtocell
networks. These self optimization use cases are handover, Call Admission Control
(CAC) and load balancing. We develop a comprehensive, unified LTE compliant
evaluation environment. This environment is extendable to other radio access technologies
including LTE-Advanced (LTE-A), and can also be used to study other SON
use cases. Various recommendations made by main bodies in the area of femtocells
are considered including the Small Cell Forum, the Next Generation Mobile Networks (NGMN) alliance and the 3rd Generation Partnership Project (3GPP).
Additionally, traffic sources are simulated in compliance with these recommendations
and evaluation methodologies. We study the interaction between three representative
handover related self optimization schemes. We start by testing these schemes separately,
in order to make sure that they meet their individual goals, and then their
mutual interactions when operating simultaneously. Based on these experiments, we
recommend several guidelines that can help mobile network operators and researchers
in designing better coordination policies.
Description
Thesis (Master, Electrical & Computer Engineering) -- Queen's University, 2012-12-05 22:35:27.538
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This publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.