Análise desempenho de LR-FHSS em cenários com desvanecimento por meio de simulador de eventos discretos

Abstract

The Long-Range Frequency Hopping Spread Spectrum (LR-FHSS) emerges as a modulation scheme specifically designed for Internet of Things networks with high density of devices. In this work, we systematically evaluate the performance of LRFHSS under different fading severity levels, with emphasis on Data Rates DR8 and DR9, employing discrete-event simulations and theoretical model validation. Using transmission success probability and goodput as key metrics, we demonstrate that the scheme exhibits progressive performance degradation proportional to fading intensity. Our results not only corroborate theoretical models but also reveal that system efficiency is critically impaired in adverse channel conditions. These findings highlight the necessity for mitigation techniques to enable effective LR-FHSS deployment across diverse scenarios.