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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/22/7450 |
| _version_ | 1797508496523001856 |
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| author | Jesús Burgueño Isabel de-la-Bandera Raquel Barco |
| author_facet | Jesús Burgueño Isabel de-la-Bandera Raquel Barco |
| author_sort | Jesús Burgueño |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T05:04:47Z |
| format | Article |
| id | doaj.art-29e42c574b6b4f9bbe6f850d1dc4fd0f |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T05:04:47Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-29e42c574b6b4f9bbe6f850d1dc4fd0f2023-11-23T01:23:27ZengMDPI AGSensors1424-82202021-11-012122745010.3390/s21227450Location-Aware Node Management Solution for Multi-Radio Dual Connectivity ScenariosJesús Burgueño0Isabel de-la-Bandera1Raquel Barco2Instituto Universitario de Investigación en Telecomunicación (TELMA), Universidad de Málaga, CEI Andalucía TECH, 29010 Málaga, SpainInstituto Universitario de Investigación en Telecomunicación (TELMA), Universidad de Málaga, CEI Andalucía TECH, 29010 Málaga, SpainInstituto Universitario de Investigación en Telecomunicación (TELMA), Universidad de Málaga, CEI Andalucía TECH, 29010 Málaga, SpainThe 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.https://www.mdpi.com/1424-8220/21/22/7450multi-radio dual connectivitylocation-awarenesscellular network node management |
| spellingShingle | Jesús Burgueño Isabel de-la-Bandera Raquel Barco Location-Aware Node Management Solution for Multi-Radio Dual Connectivity Scenarios Sensors multi-radio dual connectivity location-awareness cellular network node management |
| 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 | multi-radio dual connectivity location-awareness cellular network node management |
| url | https://www.mdpi.com/1424-8220/21/22/7450 |
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