On the Performance of the Coverage Probability of LoRa Networks with Non-Linear Energy Harvesting

The present work addresses the performance of long-range (LoRa) networks with non-linear energy harvesting (NLEH) modeling. Specifically, we adopt a NLEH model that captures the practical behaviors of non-linear elements in energy harvesting circuits. Additionally, we employ tools from stochastic geometry (SG) to model the spatial distribution of end-devices (EDs) and power beacons (PBs). The coverage probability (Pcov) is used as the sole metric to measure the network performance. Finally, extensive simulation results are provided to demonstrate the performance of the considered networks. We reveal that increasing the average number of power beacons is beneficial for Pcov, while increasing the average number of end-devices is detrimental to the network performance.