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Planning and Optimization Approach using Genetic Algorithms of a New Generation Cellular Network Capitalizing on the Existing Sites

Raphael Nlend, Emmanuel Tonye

Abstract: In this paper we model the problem of base station migration as a question of optimization by genetic algorithms in order to minimize a target goal which is a weighted function of network coverage, traffic, energy consumption and the cost of the infrastructure. The model takes as input an area of interest, a set of existing sites, a maximum number of sites, and outputs the optimal number and locations required for sites, including existing sites and new sites. The goal here is to minimize the cost of deploying the new network by reusing existing network sites as much as possible while ensuring that traffic coverage is good and energy consumption is reduced. We proposed and implemented an algorithm to solve the optimization problem formulated based on a model of distribution of mobile stations and the locations of existing sites as well as new sites.

Keywords: Cellular network, Genetic Algorithm, Optimization, Planning.

Country: Cameroon, Subject Area: Electronics and Communication Engineering

Pages: 1419 - 1427

Edition: Volume 8 Issue 5, May 2019

How to Cite this Article?

Raphael Nlend, Emmanuel Tonye, "Planning and Optimization Approach using Genetic Algorithms of a New Generation Cellular Network Capitalizing on the Existing Sites", International Journal of Science and Research (IJSR), https://www.ijsr.net/archive/v8i5/show_abstract.php?id=17051902, Volume 8 Issue 5, May 2019, 1419 - 1427

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