2026-05-27T05:31:19Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/302102026-02-03T11:32:50Zcom_10630_2254col_10630_37953

Sánchez, Joaquín Toril-Genovés, Matías Wille, Volker Gijón, Carolina Fernández-Navarro, Mariano 2024-02-08T17:34:03Z 2024-02-08T17:34:03Z 2023-07-01 https://hdl.handle.net/10630/30210 10.1109/TMC.2022.3142740 In cellular systems, network re-planning aims to update network configuration to cope with permanent changes in the environment. In this task, terminal measurements are often used to calibrate performance models integrated in radio network planning tools. In Release 10 of the 3GPP standard, the Minimization of Drive Test (MDT) feature allows the collection of user position correlated to performance statistics or radio events. In practice, positioning errors severely limit the potential of MDT measurements. In this work, a preliminary analysis of a large MDT dataset taken from a commercial Long-Term Evolution (LTE) network shows for the first time several sources of positioning errors not previously reported in the literature. Then, a heuristic filtering algorithm is proposed to discard samples with inaccurate location data. Method assessment is done by checking the impact of filtering on the coverage map built with a real MDT dataset. Results show that the proposed method significantly improves the accuracy of coverage maps by filtering unreliable measurements. eng open access Global Positioning System On the Improvement of Cellular Coverage Maps by Filtering MDT Measurements journal article