Academic Journal
An Artificial Intelligence Framework for Slice Deployment and Orchestration in 5G Networks
| العنوان: | An Artificial Intelligence Framework for Slice Deployment and Orchestration in 5G Networks |
|---|---|
| المؤلفون: | Dandachi, G, De Domenico, A, Hoang, DT, Niyato, D |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE) |
| سنة النشر: | 2021 |
| المجموعة: | University of Technology Sydney: OPUS - Open Publications of UTS Scholars |
| الوصف: | © 2015 IEEE. Network slicing is a key enabler to successfully support 5G services with specific requirements and priorities. Due to the diversity of these services, slice deployment and orchestration are essential to guarantee service performance in a cost-effective way. Here, we propose an Artificial Intelligence framework for cross-slice admission and congestion control that simultaneously considers communication, computing, and storage resources to maximize resources utilization and operator revenue. First, we propose a smart feature extraction solution to analyze the characteristics of incoming requests together with the already deployed slices, and then automatically evaluates the request requirements to make appropriate decisions. Second, we design an online algorithm that controls the slice admission based on their priorities, the arrival and departure characteristics, and the available resources. To mitigate system overloading, our framework dynamically adjusts resources allocated to low priority slices, thereby reducing the dropping probability of new slice requests. The proposed algorithm offers outstanding advantages over traditional static approaches by automatically adapting the controller decisions to the system changes. Simulation results show that our framework significantly improves the resource utilization and reduces the slice request dropping probabilities up to 44% as compared to the baseline schemes. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 2372-2045 2332-7731 |
| Relation: | IEEE Transactions on Cognitive Communications and Networking; IEEE Transactions on Cognitive Communications and Networking, 2020, 6, (2), pp. 858-871; http://hdl.handle.net/10453/146146 |
| الاتاحة: | http://hdl.handle.net/10453/146146 |
| Rights: | © 2020 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. ; info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.DCFFE0B0 |
| قاعدة البيانات: | BASE |
| تدمد: | 23722045 23327731 |
|---|