Improved Multiobjective Optimization for Cellular Base Stations Positioning

Ramz L Fraiha Lopes,Herminio S Gomes,Gervásio P S Cavalcante,Cristiane R Gomes,Igor R Gomes

doi:10.1590/2179-0742021v20i41309

Ramz L Fraiha Lopes, Herminio S Gomes + Show 3 more

Open Access

https://doi.org/10.1590/2179-0742021v20i41309

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Abstract

This work presents improvements to a telecommunication service planning tool for optimal positioning of base stations presented in a previous work. The tool uses a propagation loss model based on the K-Nearest Neighborhoods classifier since its conception. The original objective of this tool is to optimize the positioning of transmitting towers in the frequencies of 2.1 GHz and 2.6 GHz in a given environment, maximizing the coverage area. The improvement proposed in this article includes the optimization of the positioning of the towers in order to meet the maximum coverage, prioritizing the locations considered most important. The studied scenario is the campus of the Federal University of Pará, with characteristics similar to some cities in the Amazon region. The analysis of the results was made by comparing the power data received from the measurement campaigns with the coverage estimates obtained with the improved tool. The improved methodology showed better results than those from the previous study, both in the positioning of the antennas and in the time spent. We obtained a reduction of up to 72% in the time to calculate the optimal solution compared to the original study.

Highlights

The planning of coverage projects for communication and mobile internet services is important for the proper functioning of these services
Radiopropagation models are an important factor in the planning of telecommunications services
The results of this study show that geometric models better represent the propagation in the analyzed environment

Summary

Introduction

The planning of coverage projects for communication and mobile internet services is important for the proper functioning of these services. Digital services are already a reality accessible to a large part of the population. Radiopropagation models are an important factor in the planning of telecommunications services. Most models and recommendations are developed with data from temperate climates [1]. Such models become inaccurate for estimates in regions with mixed environments with buildings and dense vegetation. A study for this type of environment is necessary to attend the reality of Amazonian cities, and to attend other regions with equatorial forests or even very wooded cities

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Results

Conclusion