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
Link To Document :
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