Aloupogianni, Eleni and Karyotis, Charalampos and Maniak, Tomasz and Iqbal, Rahat and Passas, Nikos and Vujicic, Zoran and Doctor, Faiyaz (2024) Network Slicing for Beyond 5G Networks using Machine Learning. In: The 24th IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGRID), 2024-05-06 - 2024-06-09, Philadelphia, USA. (In Press)
Aloupogianni, Eleni and Karyotis, Charalampos and Maniak, Tomasz and Iqbal, Rahat and Passas, Nikos and Vujicic, Zoran and Doctor, Faiyaz (2024) Network Slicing for Beyond 5G Networks using Machine Learning. In: The 24th IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGRID), 2024-05-06 - 2024-06-09, Philadelphia, USA. (In Press)
Aloupogianni, Eleni and Karyotis, Charalampos and Maniak, Tomasz and Iqbal, Rahat and Passas, Nikos and Vujicic, Zoran and Doctor, Faiyaz (2024) Network Slicing for Beyond 5G Networks using Machine Learning. In: The 24th IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGRID), 2024-05-06 - 2024-06-09, Philadelphia, USA. (In Press)
Abstract
This paper explores the application of machine learning for practical applications in the context of Beyond 5G (B5G) communications. A variety of machine learning techniques, including neural networks, was applied on a labeled dataset about network slicing. Neural network models demonstrate superior performance in optimizing virtual network slices, crucial for enhancing Internet of Things (IoT) connectivity and efficiency. The findings can assist telecommunications professionals and policymakers, offering practical perspectives on AI technologies that can be applied in B5G scenarios for large communications networks.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | neural networks; network slicing; 6G communications; IoT communications; beyond 5G |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 03 Oct 2024 12:05 |
Last Modified: | 11 Dec 2024 18:24 |
URI: | http://repository.essex.ac.uk/id/eprint/38710 |
Available files
Filename: 202405_ccg2024_philadelphia_slicing_camera_ready.pdf
Licence: Creative Commons: Attribution 4.0