2026-06-03T00:52:21Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/188492026-02-03T11:21:55Zcom_10630_2254col_10630_37953

A data-driven scheduler model for QoE assessment in a LTE radio network planning tool Sánchez Ordóñez, Pablo Antonio Luna-Ramírez, Salvador Gijón-Martín, Carolina Toril-Genovés, Matías Bejarano-Luque, Juan Luis Radio The use of static system-level simulators is common practice for estimating the impact of re-planning actions in cellular networks. In this paper, a modification of a classical static Long Term Evolution (LTE) simulator is proposed to estimate the Quality of Experience (QoE) provided in each location on a per-service basis. The core of the simulator is the estimation of radio connection throughput on a location and service basis. For this purpose, a new analytical performance model for the packet scheduling process in a multi-service scenario is developed. Model parameters can easily be adjusted with information from radio connection traces available in the network management system. The simulation tool is validated with a large trace dataset taken from a live LTE network. 2019-11-19T12:27:05Z 2019-11-19T12:27:05Z 2019-11-19T12:27:05Z 2019-11-19 journal article https://hdl.handle.net/10630/18849 eng open access