Multi-class random access wireless network: General results and performance analysis of LoRaWAN

This paper presents new analytical results for evaluating the ALOHA-like multi-class random access wireless network’s performance. The proposed model is motivated by growth of low-power networks that employ protocols. In particular, we compare our formulation with system-level simulations Long Range (LoRa) technology. We show provides an accurate approximation LoRaWAN performance capturing its main trade-offs. contributions are (i) extensive analysis impact different LoRa spreading factors (SFs) allocation strategies, including area intersection among SFs, which little explored in literature and represents optimal approach under some conditions; (ii) proportion users maximizes network throughput each class strategy considered paper.