DocumentCode
143573
Title
A mathematical modeling approach and a novel solution for sector azimuth angle planning
Author
Imran, Ali ; Yaacoub, Elias ; Dawy, Zaher ; Abu-Dayya, Adnan
Author_Institution
Qatar Mobility Innovations Center (QMIC), Doha, Qatar
fYear
2014
fDate
13-16 April 2014
Firstpage
334
Lastpage
338
Abstract
State of the art planning tools rely on intricate simulation models and metaheuristic approaches to determine the optimal azimuth angle of each sector in a system. The process is highly time consuming and the quality of outcome is heavily dependent on the practitioner´s experience in setting input parameters. To address this problem, in this paper we exploit a mathematical approach and develop a system model that ultimately helps to obtain a low complexity analytical solution. In addition to providing insights into system behaviour as function of azimuth angles, the potential performance gain of the proposed optimisation solution is investigated through extensive numerical results.
Keywords
cellular radio; computational complexity; optimisation; telecommunication network planning; cellular system performance; low complexity analytical solution; mathematical modeling approach; metaheuristic approach; optimal azimuth angle; optimisation solution; performance gain; planning tool; sector azimuth angle planning; simulation model; system behaviour; Antennas; Azimuth; Gain; Linear programming; Mathematical model; Optimization; Planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Mediterranean Electrotechnical Conference (MELECON), 2014 17th IEEE
Conference_Location
Beirut
Type
conf
DOI
10.1109/MELCON.2014.6820556
Filename
6820556
Link To Document