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Cao, H., Garg, S., Mumtaz, S. 
ORCID: 0000-0001-6364-6149, Alrashoud, M., Yang, L. and Kaddoum, G.,
2024.
Softwarized resource allocation in digital twins-empowered networks for future quantum-enabled consumer applications.
IEEE Transactions on Consumer Electronics.
ISSN 0098-3063
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Abstract
Network softwarization (NetSoft), recognized as crucial attribute of 6G networks, promises to provide enhanced and advanced services, including future quantum-enabled consumer applications. Softwarized resource allocation is the core issue in NetSoft concept. Digital twins (DT) guarantees to generate the corresponding digital world that reflects and interacts with the original physical world seamlessly. With DT empowering, the digital replica of softwarized networks can be generated to predict, simulate, analyze the softwarized resource allocation in more economical, convenient and scalable methods.In this paper, we research the softwarized resource allocation of requested services, usually, called as slices, in DT-empowered networks for future quantum-enabled consumer applications. We focus on developing efficient softwarized resource allocation algorithm. At first, we present models of the DT-empowered networks and service requests by using graph theory and hypergraph theory. Then, we design one softwarized resource management framework, labeled as DT-Slice-Soft-6G. This framework has the functions of managing softwarized resources, calculating resource allocation solution in digital replica and sending the calculated solution back to softwarized 6G networks. Thereafter, one efficient and fine-grained softwarized resource allocation algorithm, inserted in DT-Slice-Soft-6G, is detailed. This algorithm is labeled as Heu-DT-Slice-6G and is proposed based on efficient heuristic methods. To validate the highlights of DT-Slice-Soft-6G and Heu-DT-Slice-6G, we conduct the simulation work in our self-developed simulator.
| Item Type: | Journal article | ||||||
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| Publication Title: | IEEE Transactions on Consumer Electronics | ||||||
| Creators: | Cao, H., Garg, S., Mumtaz, S., Alrashoud, M., Yang, L. and Kaddoum, G. | ||||||
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) | ||||||
| Date: | 27 February 2024 | ||||||
| ISSN: | 0098-3063 | ||||||
| Identifiers: |
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| Rights: | © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||
| Divisions: | Schools > School of Science and Technology | ||||||
| Record created by: | Laura Ward | ||||||
| Date Added: | 01 Mar 2024 14:32 | ||||||
| Last Modified: | 01 Mar 2024 14:32 | ||||||
| URI: | https://irep.ntu.ac.uk/id/eprint/51000 |
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