Performance Analysis of 5G Network Slicing for Hospital of the Future
5G network slicing is considered an efficient solution to support various applications with diverse requirements. In network slicing, each client is assigned with logical end-to-end network that shares a common physical infrastructure. It allows the necessary flexibility and scalability associated w...
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my.uniten.dspace-345532024-10-14T11:20:36Z Performance Analysis of 5G Network Slicing for Hospital of the Future Aripin N.M. Zulkifli T. Radzi N.A.M. 35092180800 57982505900 57218936786 5G femtocell Hospital of the Future Network slicing remote surgery Augmented reality Femtocell Hospitals Queueing networks Surgery 5g Diverse applications Emerging applications End-to-end network Femtocells Hospital of the future In networks Network slicing Performances analysis Remote surgery 5G mobile communication systems 5G network slicing is considered an efficient solution to support various applications with diverse requirements. In network slicing, each client is assigned with logical end-to-end network that shares a common physical infrastructure. It allows the necessary flexibility and scalability associated with the eMBB, uRLLC and mMMTC type of traffic. Hospital of the Future (HoF) is an emerging application supporting diverse applications such as Augmented Reality (AR) controlled robotic monitoring, remote monitoring, and remote surgery. This paper envisioned exploring two network slicing strategies for HoF environment based on its dynamicity and network slicing orchestration. Their performance is evaluated in terms of the ratio of connected clients, the ratio of blockage ratio, average and total bandwidth utilization. Simulation results showed that dynamic slicing with femtocell configuration outperforms static slicing and slicing at micro BS. � 2023 IEEE. Final 2024-10-14T03:20:36Z 2024-10-14T03:20:36Z 2023 Conference Paper 10.1109/ISCAIE57739.2023.10165275 2-s2.0-85165211995 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165211995&doi=10.1109%2fISCAIE57739.2023.10165275&partnerID=40&md5=95d416bdbf4899e2e83c87acc271254d https://irepository.uniten.edu.my/handle/123456789/34553 18 21 Institute of Electrical and Electronics Engineers Inc. Scopus |
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5G femtocell Hospital of the Future Network slicing remote surgery Augmented reality Femtocell Hospitals Queueing networks Surgery 5g Diverse applications Emerging applications End-to-end network Femtocells Hospital of the future In networks Network slicing Performances analysis Remote surgery 5G mobile communication systems |
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5G femtocell Hospital of the Future Network slicing remote surgery Augmented reality Femtocell Hospitals Queueing networks Surgery 5g Diverse applications Emerging applications End-to-end network Femtocells Hospital of the future In networks Network slicing Performances analysis Remote surgery 5G mobile communication systems Aripin N.M. Zulkifli T. Radzi N.A.M. Performance Analysis of 5G Network Slicing for Hospital of the Future |
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5G network slicing is considered an efficient solution to support various applications with diverse requirements. In network slicing, each client is assigned with logical end-to-end network that shares a common physical infrastructure. It allows the necessary flexibility and scalability associated with the eMBB, uRLLC and mMMTC type of traffic. Hospital of the Future (HoF) is an emerging application supporting diverse applications such as Augmented Reality (AR) controlled robotic monitoring, remote monitoring, and remote surgery. This paper envisioned exploring two network slicing strategies for HoF environment based on its dynamicity and network slicing orchestration. Their performance is evaluated in terms of the ratio of connected clients, the ratio of blockage ratio, average and total bandwidth utilization. Simulation results showed that dynamic slicing with femtocell configuration outperforms static slicing and slicing at micro BS. � 2023 IEEE. |
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35092180800 |
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35092180800 Aripin N.M. Zulkifli T. Radzi N.A.M. |
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Conference Paper |
author |
Aripin N.M. Zulkifli T. Radzi N.A.M. |
author_sort |
Aripin N.M. |
title |
Performance Analysis of 5G Network Slicing for Hospital of the Future |
title_short |
Performance Analysis of 5G Network Slicing for Hospital of the Future |
title_full |
Performance Analysis of 5G Network Slicing for Hospital of the Future |
title_fullStr |
Performance Analysis of 5G Network Slicing for Hospital of the Future |
title_full_unstemmed |
Performance Analysis of 5G Network Slicing for Hospital of the Future |
title_sort |
performance analysis of 5g network slicing for hospital of the future |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2024 |
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1814061184799735808 |
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13.214268 |