RT Journal Article
T1 A data-driven scheduler model for QoE assessment in a LTE radio network planning tool
A1 Sánchez Ordóñez, Pablo Antonio
A1 Luna-Ramírez, Salvador
A1 Gijón-Martín, Carolina
A1 Toril-Genovés, Matías
A1 Bejarano-Luque, Juan Luis
K1 Radio
AB 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 ofExperience (QoE) provided in each location on a per-service basis. The core of the simulator is the estimation of radio connectionthroughput on a location and service basis. For this purpose, a new analytical performance model for the packet scheduling processin a multi-service scenario is developed. Model parameters can easily be adjusted with information from radio connection tracesavailable in the network management system. The simulation tool is validated with a large trace dataset taken from a live LTEnetwork.
YR 2019
FD 2019-11-19
LK https://hdl.handle.net/10630/18849
UL https://hdl.handle.net/10630/18849
LA eng
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 22 ene 2026