Urban Mobile Radio Propagation Prediction at 750 MHz using Symbolic Regression Techniques

Franz M. E. Camilo, Rayner Augusto Silva, Gustavo Rodrigues, Nuno R. Leonor, Rafael F. S. Caldeirinha, Luiz da Silva Mello, Glaucio L. Ramos

DOI: 10.14209/sbrt.2025.1571144717

Evento: XLIII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2025)

Keywords:

Abstract

Radio propagation prediction is a fundamental stage in mobile communication systems design and improvement. That prediction is based on propagation models often developed from empirical measurements. That is a complex process, which has recently been boosted by several machine learning and artificial intelligence tools. Among those techniques, symbolic regression is an interpretable model that provides analytical equations based on a database. This work presents a preliminary work that applies symbolic regression techniques to find analytical equations to model mobile radio propagation channels based on measurements made in the urban area of Rio de Janeiro city in Brazil.

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