RT Journal Article
T1 A Data-Driven Traffic Steering Algorithm for Optimizing User Experience in Multi-Tier LTE Networks
A1 Gijón, Carolina
A1 Toril-Genovés, Matías
A1 Luna-Ramírez, Salvador
A1 Marí-Altozano, María Luisa
K1 Sistemas de comunicaciones inalámbricos
AB Multi-tier cellular networks are a cost-effective solution for capacity enhancement in urban scenarios. In these networks, effective mobility strategies are required to assign users to the most adequate layer. In this paper, a data-driven self-tuning algorithm for traffic steering is proposed to improve the overall Quality of Experience (QoE) in multi-carrier Long Term Evolution (LTE) networks. Traffic steering is achieved by changing Reference Signal Received Quality (RSRQ)-based inter-frequency handover margins. Unlike classical approaches considering cell-aggregated counters to drive the tuning process, the proposed algorithm relieson a novel indicator, derived from connection traces, showing the impact of handovers on user QoE. Method assessment is carried out in a dynamic system-level simulator implementing a real multicarrier LTE scenario. Results show that the proposed algorithm significantly improves QoE figures obtained with classical loadbalancing techniques.
PB IEEE
YR 2019
FD 2019-10-01
LK https://hdl.handle.net/10630/30216
UL https://hdl.handle.net/10630/30216
LA eng
NO C. Gijón, M. Toril, S. Luna-Ramírez and M. Luisa Marí-Altozano, "A Data-Driven Traffic Steering Algorithm for Optimizing User Experience in Multi-Tier LTE Networks," in IEEE Transactions on Vehicular Technology, vol. 68, no. 10, pp. 9414-9424, Oct. 2019, doi: 10.1109/TVT.2019.2933068
NO Spanish Ministry of Economyand Competitiveness under Grant TEC2015-69982-R, in part by the SpanishMinistry of Education, Culture and Sports under FPU Grant FPU17/04286, andin part by the Horizon 2020 Project ONE5G under Grant ICT-760809
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026