José Alamos: There can be only one! (Christmas Lecture)

There can be only one! - A Journey Through the Intricacies of Machine Learning for Unravelling LoRa Frames under Collision
In the spirit of Christmas times, this talk embarks on a journey into the intricate world of Machine Learning, with a specific focus on decoding wireless packets (LoRa) under collisions. LoRa, renowned for its long-range capabilities,
inherently faces the frequent issue of packet collisions. These collisions pose a significant challenge as traditional decoding techniques often only partially recover the original packets.
This session delves into the challenges associated with decoding colliding LoRa frames, while sharing various approaches and lessons learned from the usage of Machine Learning in the task of signal decoding.