Abstract: Geolocating Minimization of Drive Test (MDT) measurement reports (MRs) with missing satellite navigation system coordinates is disclosed. In some embodiments, a computing node receives a plurality of complete MRs corresponding to a plurality of user equipments (UEs), wherein each complete MR comprises satellite navigation system coordinates identifying a geographic location of the corresponding UE. The computing node then trains a machine learning (ML) model for estimating UE geographic locations based on the plurality of complete MRs, wherein the ML model maps radio frequency (RF) signatures of complete MRs to corresponding UE geographic locations. In some embodiments, a radio access node obtains the ML model from the computing node, and receives an incomplete MR corresponding to a UE. Upon determining that the second MR lacks satellite navigation system coordinates, the radio access node predicts the geographic location of the UE based on measurements in the incomplete MR and the ML model.