SINMCEL- Connectivity Solution for Remote Environments. Case Study: Combu Island

Abstract Modeling is the safest and most cost-effective way to test new and complex technologies. A model represents a system created by combining concepts that help to understand, simulate, or predict the behavior of the object or process being represented. Signal propagation modeling tools have become increasingly relevant as analytical resources for detailing the scenario of interest and predicting outcomes. This study uses a supervised machine learning technique to propose a simulation and analysis method for transmission systems in atypical and remote environments. Its main goal is to suggest choices that maximize efficiency regarding the propagation models used in the scenarios under analysis. For validation purposes, a case study was conducted in the Amazon region, specifically on Combú Island, in the state of Pará, Brazil, where aspects related to the system's reference parameters were analyzed using the proposed algorithm named SINMCEL V.2.