In this paper, we introduce a method for pin-pointing the user equipment (UE) position in the cellular context. The proposed method can determine the target's location using the Reference Signal Received Power (RSRP) from the nearby base stations (BS). Firstly, we convert the geodetic coordinate system (GCS) of the interested area into the local Cartesian coordinate system (CCS) to reduce computational complexity. Secondly, we estimate the distance from the UE to the BSs using fitted estimators based on reported RSRP data. Finally, using the information obtained in the two preceding steps, we estimate the UE's location using the least squares algorithm. The results demonstrate that the proposed positioning method yields better performance than traditional models such as the log-distance path loss model and the 3GPP 3D path loss model for both macro (UMa) and micro (UMi) cells in an urban environment.