Verification of performance degradation in a telecommunications system due to the uncertainty of human users in the loop
The intensive use of new technologies that cause more interactions between systems and the daily activities of human users is changing the focus on how network re- sources should be managed. However, these changes can create challenges related to the level of uncertainty that people introduce to the...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Taylor & Francis Group
2022-12-01
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Series: | Cogent Engineering |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/23311916.2022.2062878 |
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author | Néstor Alzate-Mejía Germán Santos-Boada José Roberto de Almeida Amazonas |
author_facet | Néstor Alzate-Mejía Germán Santos-Boada José Roberto de Almeida Amazonas |
author_sort | Néstor Alzate-Mejía |
collection | DOAJ |
description | The intensive use of new technologies that cause more interactions between systems and the daily activities of human users is changing the focus on how network re- sources should be managed. However, these changes can create challenges related to the level of uncertainty that people introduce to the system. In this context, this research study seeks to determine whether people’s uncertainty influences network performance and how significant its impact is. For these purposes, a simulated case study of a Vehicle for Hire application designed to run over a network slicing of a fifth-generation (5G) network. The simulations compared call drop rates in several settings configured to represent different levels of uncertainty, introducing random alterations to free channel planning reserved for the handover process. The simulation results reveal that the uncertainty specifically introduced by people exerts a high negative impact on network performance, evidencing the need to develop an algorithm that considers this uncertainty when managing resources within the 5G network core. |
first_indexed | 2024-03-12T18:51:31Z |
format | Article |
id | doaj.art-5a943f89500b40bc99ca20d295ab5684 |
institution | Directory Open Access Journal |
issn | 2331-1916 |
language | English |
last_indexed | 2024-03-12T18:51:31Z |
publishDate | 2022-12-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | Cogent Engineering |
spelling | doaj.art-5a943f89500b40bc99ca20d295ab56842023-08-02T07:14:09ZengTaylor & Francis GroupCogent Engineering2331-19162022-12-019110.1080/23311916.2022.2062878Verification of performance degradation in a telecommunications system due to the uncertainty of human users in the loopNéstor Alzate-Mejía0Germán Santos-Boada1José Roberto de Almeida Amazonas2Faculty of Engineering, Cooperative University of Colombia, Santiago de Cali, ColombiaDepartment of Computer Architecture Universitat Politècnica de Catalunya, Barcelona, SpainDepartment of Computer Architecture Universitat Politècnica de Catalunya, Barcelona, SpainThe intensive use of new technologies that cause more interactions between systems and the daily activities of human users is changing the focus on how network re- sources should be managed. However, these changes can create challenges related to the level of uncertainty that people introduce to the system. In this context, this research study seeks to determine whether people’s uncertainty influences network performance and how significant its impact is. For these purposes, a simulated case study of a Vehicle for Hire application designed to run over a network slicing of a fifth-generation (5G) network. The simulations compared call drop rates in several settings configured to represent different levels of uncertainty, introducing random alterations to free channel planning reserved for the handover process. The simulation results reveal that the uncertainty specifically introduced by people exerts a high negative impact on network performance, evidencing the need to develop an algorithm that considers this uncertainty when managing resources within the 5G network core.https://www.tandfonline.com/doi/10.1080/23311916.2022.2062878Network performanceuncertaintycrowdsensing5Gresource managementhuman behavior |
spellingShingle | Néstor Alzate-Mejía Germán Santos-Boada José Roberto de Almeida Amazonas Verification of performance degradation in a telecommunications system due to the uncertainty of human users in the loop Cogent Engineering Network performance uncertainty crowdsensing 5G resource management human behavior |
title | Verification of performance degradation in a telecommunications system due to the uncertainty of human users in the loop |
title_full | Verification of performance degradation in a telecommunications system due to the uncertainty of human users in the loop |
title_fullStr | Verification of performance degradation in a telecommunications system due to the uncertainty of human users in the loop |
title_full_unstemmed | Verification of performance degradation in a telecommunications system due to the uncertainty of human users in the loop |
title_short | Verification of performance degradation in a telecommunications system due to the uncertainty of human users in the loop |
title_sort | verification of performance degradation in a telecommunications system due to the uncertainty of human users in the loop |
topic | Network performance uncertainty crowdsensing 5G resource management human behavior |
url | https://www.tandfonline.com/doi/10.1080/23311916.2022.2062878 |
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