LoRaWAN and the Internet of Things

During my postdoctoral fellowship at Université Paris-Saclay (UVSQ, Li-PaRAD), I worked on LoRaWAN networks, focusing on their reliability and scalability in multi-operator environments.

Leveraging recurrent neural networks, we proposed spreading factor assignment algorithms that optimize packet delivery rates in multi-operator deployments. I also modeled channel selection as a game between operators, and studied cooperation strategies for spreading factor assignment across operators.