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

Guardado en:

Detalles Bibliográficos
Autores principales:	Jesús Burgueño, Isabel de-la-Bandera, Raquel Barco
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	multi-radio dual connectivity location-awareness cellular network node management Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/29e42c574b6b4f9bbe6f850d1dc4fd0f
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:29e42c574b6b4f9bbe6f850d1dc4fd0f
record_format	dspace
spelling	oai:doaj.org-article:29e42c574b6b4f9bbe6f850d1dc4fd0f2021-11-25T18:56:32ZLocation-Aware Node Management Solution for Multi-Radio Dual Connectivity Scenarios10.3390/s212274501424-8220https://doaj.org/article/29e42c574b6b4f9bbe6f850d1dc4fd0f2021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7450https://doaj.org/toc/1424-8220The 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.Jesús BurgueñoIsabel de-la-BanderaRaquel BarcoMDPI AGarticlemulti-radio dual connectivitylocation-awarenesscellular network node managementChemical technologyTP1-1185ENSensors, Vol 21, Iss 7450, p 7450 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	multi-radio dual connectivity location-awareness cellular network node management Chemical technology TP1-1185
spellingShingle	multi-radio dual connectivity location-awareness cellular network node management Chemical technology TP1-1185 Jesús Burgueño Isabel de-la-Bandera Raquel Barco Location-Aware Node Management Solution for Multi-Radio Dual Connectivity Scenarios
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	article
author	Jesús Burgueño Isabel de-la-Bandera Raquel Barco
author_facet	Jesús Burgueño Isabel de-la-Bandera Raquel Barco
author_sort	Jesús Burgueño
title	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_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_sort	location-aware node management solution for multi-radio dual connectivity scenarios
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/29e42c574b6b4f9bbe6f850d1dc4fd0f
work_keys_str_mv	AT jesusburgueno locationawarenodemanagementsolutionformultiradiodualconnectivityscenarios AT isabeldelabandera locationawarenodemanagementsolutionformultiradiodualconnectivityscenarios AT raquelbarco locationawarenodemanagementsolutionformultiradiodualconnectivityscenarios
_version_	1718410512339828736

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

Ejemplares similares