Urban Mobile Radio Propagation Prediction at 750 MHz using Symbolic Regression Techniques
Camilo, F.
; Silva, R.
; Rodrigues, G.
;
Leonor, N.
;
Caldeirinha, R. F. S.
; Mello, L.
; Ramos, G.
Urban Mobile Radio Propagation Prediction at 750 MHz using Symbolic Regression Techniques, Proc Sociedade Brasileira de Telecomunicações Simpósio Brasileiro de Telecomunicações e Processamento de Sinais SBrT, Natal, Brazil, Vol. , pp. - , October, 2025.
Digital Object Identifier: 10.14209/sbrt.2025.1571144717
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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.
