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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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 |
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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 |
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