Optimization of coverage and the number of base transceiver station towers using fuzzy C-Means and genetic algorithm

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Faqih Rofii, M. Dimas Toscanni, Diky Siswanto

2016 Journal of Theoretical and Applied Information Technology Vol. 93 Issue 1 Article Cited by 2 Quartile

Abstract

The demand for communications services over mobile networks continues to increase, especially in urban areas, encouraging mobile operators to increase the capacity of its services, by contructing new base transceiver stations in all urban areas. BTSs, which continue to grow regardless of the surrounding environment resulting in clutter environment. it is necessary for a study of how to rearrange the existing tower. The aim of this study was to obtain a minimum number of telecommunications towers already existing and is able to cover the city area using the optimization method, the Fuzzy C-Means and Genetic Algorithm. We propose a new method in determining the number of base stations at a minimum, to get the coverage area of the widest service, by selecting the existing base stations, through three stages steps: determination of the number of cells ideal, election position BTS using GA and calculates the coverage area. In this study using two types of bandwidth 10 and 7.5 MHz. Results from this study showed that there are 45 of the 154 existing BTSs selected, with an area of coverage is 72.79% for 10 MHz and 74.07% for 7.5 MHz bandwidth, while areas not covered are areas with few users. © 2005 - 2016 JATIT & LLS. All rights reserved.

Affiliations

Department of Electrical Engineering, Universitas Widyagama Malang, Indonesia

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