Mejora de la calidad de experiencia en redes LTE multi-portadora
| dc.centro | E.T.S.I. Telecomunicación | en_US |
| dc.contributor.author | Gijón-Martín, Carolina | |
| dc.contributor.author | Marí-Altozano, María Luisa | |
| dc.contributor.author | Luna-Ramírez, Salvador | |
| dc.contributor.author | Toril-Genovés, Matías | |
| dc.date.accessioned | 2019-09-12T08:20:15Z | |
| dc.date.available | 2019-09-12T08:20:15Z | |
| dc.date.created | 2019 | |
| dc.date.issued | 2019-09-12 | |
| dc.departamento | Ingeniería de Comunicaciones | |
| dc.description.abstract | In multi-tier cellular networks, effective handover schemes are required to assign users to the most adequate layer. In this paper, a data-driven strategy for traffic steering is proposed to improve the overall Quality of Experience (QoE) in multi-carrier Long Term Evolution (LTE) networks. Unlike classical approaches, traffic steering is tackled by tuning Reference Signal Received Quality (RSRQ)-based inter-frequency handover margins. The tuning process is driven by a novel indicator derived from connection traces showing QoE changes in the vicinity of handovers. 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 from the initial operator solution. | en_US |
| dc.description.sponsorship | Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. | en_US |
| dc.identifier.uri | https://hdl.handle.net/10630/18325 | |
| dc.language.iso | spa | en_US |
| dc.relation.eventdate | Septiembre 2019 | en_US |
| dc.rights.accessRights | open access | en_US |
| dc.subject | Sistemas de comunicaciones inalámbricos | en_US |
| dc.subject.other | Calidad de experiencia | en_US |
| dc.subject.other | LTE | en_US |
| dc.subject.other | Multiportadora | en_US |
| dc.title | Mejora de la calidad de experiencia en redes LTE multi-portadora | en_US |
| dc.type | conference output | en_US |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | c062c7f9-a73f-4f6e-8d25-d8258916a967 | |
| relation.isAuthorOfPublication | 014c95aa-41da-4fb1-b41d-1e297ff0ecb6 | |
| relation.isAuthorOfPublication.latestForDiscovery | c062c7f9-a73f-4f6e-8d25-d8258916a967 |
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