Scalable optimization of small cell networks using reinforcement learning
In this research work, the authors propose a novel approach through a reinforcement learning-based algorithm which aims to optimize the performance of ultra-dense small cell networks in 5G and beyond systems. The RL agent that has been proposed is responsible for controlling the transmission power, spectrum overlay, an...