Paolo Dini

Modeling the Environment in Deep Reinforcement Learning: The Case of Energy Harvesting Base Stations

In this paper, we focus on the design of energy self-sustainable mobile networks by enabling intelligent energy management that allows the base stations to mostly operate off-grid by using renewable energy. We propose a centralized control algorithm based on Deep Reinforcement Learning. The single a…