Generalization in Reinforcement Learning for Radio Access Networks

Burak Demirel, Yu Wang, Cristian Tatino +1

Modern RAN operate in highly dynamic and heterogeneous environments, where hand-tuned, rule-based RRM algorithms often underperform. While RL can surpass such heuristics in constra…