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Antenna Optimization in Long-Term Evolution Networks
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Optimization and Systems Theory.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The aim of this master thesis is to study algorithms for automatically tuning antenna parameters to improve the performance of the radio access part of a telecommunication network and user experience. There are four dierent optimization algorithms, Stepwise Minimization Algorithm, Random Search Algorithm, Modied Steepest Descent Algorithm and Multi-Objective Genetic Algorithm to be applied to a model of a radio access network. The performances of all algorithms will be evaluated in this thesis. Moreover, a graphical user interface which is developed to facilitate the antenna tuning simulations will also be presented in the appendix of the report.

Place, publisher, year, edition, pages
2013. , 56 p.
TRITA-MAT-E, 2013:09
Keyword [en]
Multi-Objective Optimization, Non Dominated (Pareto Optimal) Solutions, Pareto Front, Cost Function, Stepwise Minimization Algorithm, Random Search Algorithm, Modied Steepest Descent Algorithm, Multi-Objective Genetic Algorithm, Graphical User Interface (GUI).
National Category
URN: urn:nbn:se:kth:diva-119147OAI: diva2:610360
Subject / course
Educational program
Master of Science - Mathematics
Physics, Chemistry, Mathematics
Available from: 2013-03-11 Created: 2013-03-07 Last updated: 2013-03-11Bibliographically approved

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