Optimization of Parameter Allocation System for LoRaWAN

This paper investigates the allocation of parameters of Long Range (LoRa) system and does some optimization to improve the performance. The objective of this paper is to adjust the assignment of parameters like spreading factor (SF), transmission power (TP), and bandwidth (BW) to foster the performance of packet error rate (PER), bit error rate (BER), and energy consumption. First, some models and basic relationships used in the simulation process have been shown in the methodology. Also, the process of the simulation and the parameter setup are displayed. The result, it is demonstrated the different parameter allocation systems for the networks of different densities. In the low-density network, using lower SF and a more specific allocation of TP and BW can improve the overall performance. In the high-density network, using a higher value will be the optimal option for the SF, adjusting the area of the SF according to the number of devices and allocating the parameters more specifically can also both get better performance of the LoRa, especially for the PER and BER. These findings can assist designers in developing more reliable LoRa wireless communication systems.