In this paper, the authors propose a fine-grained grid-based multi-objective model which aims at optimizing base station antennas’ configurations, such as transmit power, antenna tilt and antenna azimuth, in order to upgrading network performance in cellular networks. As the model is non-convex, non-smooth and discrete and computationally expensive, they use decomposition method to solve the MOP problem. They mainly focus on addressing the scalarized sub-problem after decomposition. For the scalarized sub-problem, they propose an enhanced difference method.