Optimum Positioning of Base Station for Cellular Service Devices Using Discrete Knowledge Model

Cristiane Ruiz Gomes; Igor R. Gomes; Ramz Luiz Fraiha Lopes; Herminio S. Gomes; Gervásio Protásio S. Cavalcante

doi:10.1590/2179-10742020v19i4941

Authors

C. R. Gomes Federal University of Pará https://orcid.org/0000-0001-9368-6248
I. R. Gomes Federal University of Pará https://orcid.org/0000-0001-7391-1903
R. L. F. Lopes Federal University of Pará https://orcid.org/0000-0001-6961-8317
H. S. Gomes Federal University of Pará https://orcid.org/0000-0001-5453-3441
G. P. S. Cavalcante Federal University of Pará https://orcid.org/0000-0001-8581-3796

DOI:

https://doi.org/10.1590/2179-10742020v19i4941

Keywords:

Antenna Positioning, KNN Classifier, Optimization, Radio Propagation Models, Refarming

Abstract

A good wireless network design depends on technical and financial viability and a number of other criteria that must be met. Following the emergence of new technologies and services, such as 5G transmission and the reuse of frequencies, new work is being carried out to ensure a better design for a particular area. This study examines a discrete radio propagation model which employs the K nearest neighbors classifier. The model takes into account the different characteristics of the environment. This article presents a case study for the optimum positioning of base stations in Federal University of Pará (Belém – Brazil), representing a typical Amazon environment. The mentioned scenario is heterogeneous, presenting edifications and considerable forest area. Measurement campaigns were conducted in three different frequencies for the design features of the model: 521 MHz (Brazilian digital TV system), 2100 MHz (Enhanced Data Rates for GSM Evolution), and 2600 MHz (Long Term Evolution). A study of the fading phenomenon in these frequencies was carried out to generalize the frequencies of application for the propagation loss model. When this model was ready, tests (computing simulations) were conducted in two scenarios to optimize the positioning of the radio base stations being studied.

Author Biography

C. R. Gomes, Federal University of Pará

Graduated in Mathematics at Universidade Federal do Pará (2003), Master in Electrical Engineering (with emphasis on Power Systems) at Universidade Federal do Pará (2006) and Doctorate in Electrical Engineering (with emphasis on Telecommunications) at Universidade Federal do Pará (2015). She is currently a professor of Higher Education at the Faculty of Mathematics at the Federal University of Pará. She has experience in the area of Mathematics Education and Applied Mathematics in Electrical Power Systems and Telecommunications. He mainly works on the following topics: Supervised Internship; Mathematics teaching; Mathematical education; Finite element method; Transmission lines; Radio propagation models.

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