RT Conference Proceedings
T1 A data-driven user steering algorithm for optimizing user experience in multi-tier LTE networks
A1 Gijón-Martín, Carolina
A1 Marí-Altozano, María Luisa
A1 Toril-Genovés, Matías
A1 Luna-Ramírez, Salvador
K1 Sistemas de comunicaciones móviles - Tesis doctorales
AB Multi-tier cellular networks are a cost-effective solution for capacity enhancement in urbanscenarios. In these networks, effective handover schemes are required to assign users to themost adequate layer. In this paper, a data-driven self-tuning algorithm for user steering isproposed to improve the overall Quality of Experience (QoE) in multi-carrier Long TermEvolution (TE) networks. Unlike classical approaches, user steering is achieved by changingReference Signal Received Quality (RSRQ) based inter-frequency handover margins. To drivethe tuning process, a novel indicator showing throughput changes in the vicinity of handovers isderived from connection traces. Method assessment is carried out in a dynamic system-levelLTE simulator implementing a real multi-carrier scenario. Results show that the proposedalgorithm significantly improves QoE figures obtained with a classical inter-frequencyhandover scheme based on Reference Signal Received Power (RSRP) measurements.
YR 2019
FD 2019-01-31
LK https://hdl.handle.net/10630/17251
UL https://hdl.handle.net/10630/17251
LA eng
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 27 feb 2026