From Simulation to Practice: Generalizable Deep Reinforcement Learning for Cellular Schedulers

Petteri Kela, Bryan Liu, Alvaro Valcarce

Efficient radio packet scheduling remains one of the most challenging tasks in cellular networks, and while heuristic methods exist, practical deep learning-based schedulers that a…