RT Journal Article
T1 Self-Tuning of Service Priority Parameters for Optimizing Quality of Experience in LTE
A1 Oliver, Pablo
A1 Toril-Genovés, Matías
A1 Luna-Ramírez, Salvador
A1 Garcia Garaluz, Rafael
K1 Optimización
AB Rising user expectations are changing the way mobile operators manage their networks. In this paper, a self-tuningalgorithm for adjusting parameters in a multiservice packet scheduler of a Long-Term Evolution base station is proposed to optimize the overall system Quality of Experience (QoE) based on network performance statistics. For this purpose, the algorithm iteratively changes service priority parameters to reprioritize services so as to make the most of available resources. The proposed algorithm ensures that the best overall system QoE is always reached by analyzing optimality conditions, unlike previous works, which only guarantee a minimum user satisfaction level or aim to balance QoE among services. Method assessment is carried out with a dynamic system-level simulator in a realistic service scenario. Simulation results show that the overall network QoE can be improved up to 35% by tuning service priority parameters.
PB IEEE Xplore
YR 2017
FD 2017-11-23
LK https://hdl.handle.net/10630/30211
UL https://hdl.handle.net/10630/30211
LA eng
NO P. Oliver-Balsalobre, M. Toril, S. Luna-Ramírez and R. G. Garaluz, "Self-Tuning of Service Priority Parameters for Optimizing Quality of Experience in LTE," in IEEE Transactions on Vehicular Technology, vol. 67, no. 4, pp. 3534-3544, April 2018, doi: 10.1109/TVT.2017.2776999
NO Spanish Ministry of Economy and Competitiveness (TEC2015-69982-R) and Optimi-Ericsson and Agencia IDEA (Consejeria de Ciencia, Innovacion y Empresa, Junta de Andalucıa, ref. 59288), co-funded by FEDER.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026