2026-04-17T17:16:01Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/1161032026-02-07T11:17:20Zcom_2072_1033col_2072_452950

Predicting QoS in LTE HetNets based on location-independent UE measurements Moysen Cortes, Jessica Giupponi, Lorenza Baldo, Nicola Mangues Bafalluy, Josep Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions Universitat Politècnica de Catalunya. WiComTec - Grup de recerca en Tecnologies i Comunicacions Sense Fils Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbils Long-Term Evolution (Telecommunications) Long-term evolution (Telecomunicacions) This paper aims to find patterns of knowledge from physical layer data coming from Heterogeneous Long Term Evolution (LTE) networks. We discuss how the collected data is employed in such a manner that improves Minimization of Drive Tests (MDT) functionality in LTE networks. In particular we aim to predict Quality of Service (QoS) expressed in terms of throughput of the User Datagram Protocol (UDP) traffic flow. We propose regression models to estimate QoS, by extrapolating information independently of the user’s physical location. In particular our approach allows to estimate the QoS in any location, based on measurements collected at anytime in the past, or anywhere in the network. This will allow to significantly reduce costs of future network deployments, even in complex and heterogeneous scenarios, such as those foreseen in stadiums, events, etc. We identify three feasible regression models, and we compare results in terms of prediction accuracy. Peer Reviewed Postprint (published version) 2015 Conference report Moysen, J., Giupponi, L., Baldo, N., J. M. Predicting QoS in LTE HetNets based on location-independent UE measurements. A: IEEE International Workshop on Computer-aided Modeling Analysis and Design of Communication Links and Networks. "2015 IEEE 20th International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD)". Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 124-128. 978-1-4673-8186-4 https://hdl.handle.net/2117/116103 10.1109/CAMAD.2015.7390493 eng http://ieeexplore.ieee.org/document/7390493/ Restricted access - publisher's policy 5 p. application/pdf Institute of Electrical and Electronics Engineers (IEEE)