A LoRa link quality prediction algorithm based on LightGBM

Long Range (LoRa), as a wireless communication technology with long transmission distances and high reliability, has been widely applied in the field of wireless sensing. One of its significant features is the ability to customize transmission protocols to adapt to a variety of application scenarios. When customizing transmission protocols, effective Link Quality Estimation (LQE) and Link Quality Prediction (LQP) can support more efficient transmission protocols and assist nodes in adjusting communication parameters in a timely manner to enhance the reliability of data transmission. In this paper, by experimentally analyzing the characteristics of LoRa communication. Combining the characteristics of LoRa application scenarios, we also introduce a lightweight LQP model based on Light Gradient Boosting Machine (LightGBM).