The continuous growth of mobile data demand has driven increasingly dense base station (BS) deployments, yet substantial redundant capacity remains during off-peak periods, leading to avoidable energy consumption. Network Sharing (NS) among operators offers a promising approach to improve resource utilization and reduce energy waste, provided that sharing decisions account for the traffic characteristics of the participating BSs. In this thesis, we investigate how these traffic characteristics shape NS performance in large metropolitan networks. Using real traffic measurements and deployment information, we characterize each BS through traffic profiles, volume indicators, and derived descriptors, and apply clustering techniques to identify groups of BSs exhibiting similar traffic behavior.