Modeling and Optimizing Reliability in LR-FHSS Networks with Successive Interference Cancellation

The deployment of IoT devices in densely deployed wireless networks presents critical challenges related to interference and collisions. Long Range-Frequency Hopping Spread Spectrum (LR-FHSS) modulation promises to enhance network resilience in comparison with LoRa modulation, particularly when combined with Successive Interference Cancellation (SIC). This study proposes an analytical model for the packet success probability in LR-FHSS with SIC, validated using extensive event driven simulation results. The latter indicate that a strategic choice of probabilistic header repetition can significantly improve reliability in dense IoT networks. This work paves the way to the LR-FHSS performance optimization, thus enabling robust communication for large-scale IoT applications.