Dynamic transmission policy for enhancing LoRa network performance: A deep reinforcement learning approach. - Laura Acosta-Garcia; Juan Aznar-Poveda; Antonio-Javier García-Sánchez; Joan García-Haro; Thomas Fahringer (Internet Things, 2023)

Proactive Adaptation of Data Rate in Mobile LoRa-Based IoT Devices Using Machine Learning. - Laura Acosta-Garcia; Juan Aznar-Poveda; Antonio-Javier García-Sánchez; Joan García-Haro; Thomas Fahringer (VTC Spring, 2024)

ADRL: A reconfigurable energy-efficient transmission policy for mobile LoRa devices based on reinforcement learning. - Laura Acosta-Garcia; Juan Aznar-Poveda; Antonio-Javier García-Sánchez; Jakob Hollenstein; Joan García-Haro; Thomas Fahringer (Internet Things, 2025)

FAST-LoRa: An Efficient Simulation Framework for Evaluating LoRaWAN Networks and Transmission Parameter Strategies. - Laura Acosta-Garcia; Juan Aznar-Poveda; Fabian Margreiter; Antonio-Javier García-Sánchez; Joan García-Haro; Thomas Fahringer; José Lorente-López; José-Víctor Rodríguez (CoRR, 2025)