Cargando…

Location-Aware Node Management Solution for Multi-Radio Dual Connectivity Scenarios

The location of user equipments (UEs) allows application developers to customize the services for users to perceive an enhanced experience. In addition, this UE location enables network operators to develop location-aware solutions to optimize network resource management. Moreover, the combination o...

Descripción completa

Detalles Bibliográficos
Autores principales: Burgueño, Jesús, de-la-Bandera, Isabel, Barco, Raquel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622751/
https://www.ncbi.nlm.nih.gov/pubmed/34833526
http://dx.doi.org/10.3390/s21227450
_version_ 1784605767554301952
author Burgueño, Jesús
de-la-Bandera, Isabel
Barco, Raquel
author_facet Burgueño, Jesús
de-la-Bandera, Isabel
Barco, Raquel
author_sort Burgueño, Jesús
collection PubMed
description The location of user equipments (UEs) allows application developers to customize the services for users to perceive an enhanced experience. In addition, this UE location enables network operators to develop location-aware solutions to optimize network resource management. Moreover, the combination of location-aware approaches and new network features introduced by 5G enables to further improve the network performance. In this sense, dual connectivity (DC) allows users to simultaneously communicate with two nodes. The basic strategy proposed by 3GPP to select these nodes is based only on the power received by the users. However, the network performance could be enhanced if an alternative methodology is proposed to make this decision. This paper proposes, instead of power-based selection, to choose the nodes that provide the highest quality of experience (QoE) to the user. With this purpose, the proposed system uses the UE location as well as multiple network metrics as inputs. A dense urban scenario is assumed to test the solution in a system-level simulation tool. The results show that the optimal selection varies depending on the UE location, as well as the increase in the QoE perceived by users of different services.
format Online
Article
Text
id pubmed-8622751
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-86227512021-11-27 Location-Aware Node Management Solution for Multi-Radio Dual Connectivity Scenarios Burgueño, Jesús de-la-Bandera, Isabel Barco, Raquel Sensors (Basel) Article The location of user equipments (UEs) allows application developers to customize the services for users to perceive an enhanced experience. In addition, this UE location enables network operators to develop location-aware solutions to optimize network resource management. Moreover, the combination of location-aware approaches and new network features introduced by 5G enables to further improve the network performance. In this sense, dual connectivity (DC) allows users to simultaneously communicate with two nodes. The basic strategy proposed by 3GPP to select these nodes is based only on the power received by the users. However, the network performance could be enhanced if an alternative methodology is proposed to make this decision. This paper proposes, instead of power-based selection, to choose the nodes that provide the highest quality of experience (QoE) to the user. With this purpose, the proposed system uses the UE location as well as multiple network metrics as inputs. A dense urban scenario is assumed to test the solution in a system-level simulation tool. The results show that the optimal selection varies depending on the UE location, as well as the increase in the QoE perceived by users of different services. MDPI 2021-11-09 /pmc/articles/PMC8622751/ /pubmed/34833526 http://dx.doi.org/10.3390/s21227450 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Burgueño, Jesús
de-la-Bandera, Isabel
Barco, Raquel
Location-Aware Node Management Solution for Multi-Radio Dual Connectivity Scenarios
title Location-Aware Node Management Solution for Multi-Radio Dual Connectivity Scenarios
title_full Location-Aware Node Management Solution for Multi-Radio Dual Connectivity Scenarios
title_fullStr Location-Aware Node Management Solution for Multi-Radio Dual Connectivity Scenarios
title_full_unstemmed Location-Aware Node Management Solution for Multi-Radio Dual Connectivity Scenarios
title_short Location-Aware Node Management Solution for Multi-Radio Dual Connectivity Scenarios
title_sort location-aware node management solution for multi-radio dual connectivity scenarios
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622751/
https://www.ncbi.nlm.nih.gov/pubmed/34833526
http://dx.doi.org/10.3390/s21227450
work_keys_str_mv AT burguenojesus locationawarenodemanagementsolutionformultiradiodualconnectivityscenarios
AT delabanderaisabel locationawarenodemanagementsolutionformultiradiodualconnectivityscenarios
AT barcoraquel locationawarenodemanagementsolutionformultiradiodualconnectivityscenarios