DocumentCode
649669
Title
Base station location optimisation in LTE using Genetic Algorithm
Author
Al-Samawi, Aida ; Sali, A. ; Noordin, Nor Kamariah ; Othman, Marini ; Hashim, Fazirulhisyam
Author_Institution
Dept. of Comput. & Commun. Syst. Eng., UPM, Serdang, Malaysia
fYear
2013
fDate
14-16 Oct. 2013
Firstpage
336
Lastpage
341
Abstract
Long Term Evolution (LTE) is a promising technology for mobile communication. This technology is based on reducing the base stations cell size, which will lead to an increment in the number of base stations. As a result, energy consumption will increase. Therefore, there is a need to optimize the LTE base stations transmission power and location to comply with the green technology. In this paper, a Genetic Algorithm (GA) optimization technique is proposed to estimate the best locations for LTE base stations, the optimum number of base stations to be used and the minimum transmission power needed for a given scenario. The proposed system is applied in Kuala Lumpur, Malaysia.
Keywords
Long Term Evolution; genetic algorithms; radio direction-finding; GA optimization technique; Kuala Lumpur; LTE; Long Term Evolution; Malaysia; base station location optimisation; energy consumption; genetic algorithm; green technology; mobile communication; power transmission; Genetic Algorithm; LTE; Radio Network Planning;
fLanguage
English
Publisher
ieee
Conference_Titel
ICT Convergence (ICTC), 2013 International Conference on
Conference_Location
Jeju
Type
conf
DOI
10.1109/ICTC.2013.6675369
Filename
6675369
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