Statistics, Coverage, and Improvement of Modelling via ANN of Radio Mobile Signal in Vegetated Channel in the 700-4000 MHz Band

Authors

Keywords:

Artificial neural network, channel characterization, channel sounding, path loss, prediction models, propagation in vegetation

Abstract

In communication system design, predicting radio signal coverage in channels with vegetation is challenging due to the way vegetation absorbs, reflects, spreads, and depolarizes the signal. Empirical models have been developed to predict signal coverage in these channels, such as parks and urban squares with vegetation, which are common in cities. To study these scenarios, this paper presents narrowband measurements taken in a public square with varied vegetation, using five carrier frequencies in the 700-4000 MHz band, including those used for cellular services, Wi-Fi 6 (Wireless Fidelity), and 5G (Fifth Generation) networks. Two transmitter antenna heights were used, and the measured data were analyzed graphically and quantitatively. The study found that an artificial neural network improved the signal prediction beyond that of the log-distance model, which is the basic model with the best results. Therefore, it can be used understand and model this kind of environment.

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Author Biographies

Pedro Armando Vieira, Instituto Federal Fluminense - IFF, Niterói, Rio de Janeiro, Brazil

Pedro Armando Vieira was born in Rio de Janeiro, RJ, Brazil, in 1968. He graduated in Electrical Telecommunications Engineering from the General Roberto Lisboa Faculty of Engineering in 1993. In 2010 he received a Master's degree in Telecommunications Engineering from the Fluminense Federal University (UFF). He was telecommunications engineer and consultant at Petrobras for more than 20 years. He is currently a PhD student at the Programa de Pós-Graduação em Engenharia Elétrica e de Telecomunicações (PPGEET) at UFF and professor at the Instituto Federal Fluminense where he has been teaching since 1996. His research interests include measurement, simulation of propagation and characterization of mobile radio communication channel, project and implementation of a telecommunications system. He is a senior member of the IEEE.

Leni Joaquim de Matos, Fluminense Federal University (UFF), Niterói, Rio de Janeiro, Brazil.

Leni Joaquim de Matos was born in Rio de Janeiro, RJ, Brazil, in 1954. He graduated in Telecommunications Engineering from the State University of Rio de Janeiro (UERJ), in 1977, by the
Military Institute of Engineering (IME) and, in 2005, the title of Doctorate by the Pontifical Catholic University of Rio de Janeiro, PUC-Rio, both in Brazil. Since  1980 it has been dedicated to higher and postgraduate education. She is currently a researcher at the Fluminense Federal University (UFF), Brazil. Research interests include: Antennas and Propagation in the mobile radio channel and underwater acoustic channel, involving characterization, modeling and simulation. She is a member of the IEEE and SBMO.

Pedro Vladimir Gonzalez Castellanos, Fluminense Federal University (UFF), Niterói, Rio de Janeiro, Brazil.

Pedro V. Gonzalez Castellanos was born in Cúcuta, NdeS, Colombia. He rceived the degree of Information Systems Engineer from Francisco de Paula Santander University in 2001. In 2003, he received the MSc and in 2008 the DSc degrees from the Center for Telecomm. Studies (CETUC) at Pontifical Catholic University Rio de Janeiro (PUC/RJ), in Brazil. Since 2015, he is a professor and researcher at Fluminense Federal University (UFF), Brazil.

Leonardo Gonsioroski, Universidade Estadual do Maranhão (UEMA), São Luís - MA, Brazil

Leonardo Henrique Gonsioroski was born in Rio de Janeiro, RJ, Brazil on October 22, 1975. He received the B.S. degree in in Electrical Engineering at Universidade Federal do Maranhão (UFMA), São Luís, Brazil, in 1998. In 2002, he received the MSc degree at the Instituto Militar de Engenharia (IME) and
in 2013 the DSc degrees from the Center for Telecomm. Studies (CETUC) at Pontifícia Universidade
Católica do Rio de Janeiro (PUC/RJ), in Brazil. He is currently a professor and researcher at the Universidade Estadual do Maranhão (UEMA). He is coordinato r of the Grupo de Estudos
em Tecnologias da Informação e Comunicações (GETICOM) and is member of the Academia Maranhense de Ciências (AMC). His research interests are radio wave propagation, digital television terrestrial broadcasting systems, mobile cellular and broadband radio access systems.

Edson Cataldo, Universidade Federal Fluminense (UFF), Niterói, Rio de Janeiro, Brazil

Edson Cataldo was born in 1967, in Rio de Janeiro, Brazil. He graduated in Telecommunications Engineering from Universidade Federal Fluminense (UFF), in 1988, where he also received a Master's
degree in Mathematics, in 1993. In 2000, he obtained a Doctorate in Mechanical Engineering from the Pontifical Catholic University of Rio de Janeiro, PUC-Rio, Brazil. He completed the Postdoctoral internship at Paris-Est University, France, in 2006, and the Senior Postdoctoral internship, in 2015, at the same university. He teaches at UFF and is a research productivity fellow from CNPq, Brazil. His
interests are in Modeling and Simulation, acting in: probabilistic models, voice production and signal processing

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Published

2023-09-27

How to Cite

Vieira, P. A., de Matos, L. J., Gonzalez Castellanos, P. V. ., Gonsioroski, L., & Cataldo, E. (2023). Statistics, Coverage, and Improvement of Modelling via ANN of Radio Mobile Signal in Vegetated Channel in the 700-4000 MHz Band. IEEE Latin America Transactions, 21(11), 1209–1217. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/8395

Issue

Vol. 21 No. 11 (2023): Ordinary Issue

Section

Electronics