Abstract
In this paper an optimization problem to minimize the energy drawn from the network grid by utilizing the harvested energy and dynamic sleeping of the Small Base Stations (SBSs) is presented. Due to the complexity of the optimization problem, a new UEs' movement prediction method is introduced to provide future information for the model to apply an accurate optimization problem. This method is based on a combined approach of Non-linear Autoregressive with External input (NARX) and probabilistic Latent Semantic Analysis (pLSA) to provide accurate prediction for multiple steps. Furthermore, extensive simulation results are presented to show the effectiveness of our approaches in comparison to the optimal results.