Optimizing Network Management and Virtualization Using Machine Learning Approach: Network Slice Prediction-Reference-Cited by-同舟云学术

Optimizing Network Management and Virtualization Using Machine Learning Approach: Network Slice Prediction

Published:2024-04-02 Issue: Volume:34 Page:1-6
ISSN:
Container-title:2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG)
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Author:

Akinyemi Lateef Adesola¹,Oshinuga Olamide Peter²,Oladejo Sunday Oladayo³,Ekwe Stephen Obono⁴,Sumbwanyanbe Mbuyu⁵,Mnkandla Ernest⁶,Shoewu Oluwagbemiga Omotayo²

Affiliation:

1. University of South Africa,Departments of Computer Science and Elect. Engineering, CSET,Johannesburg,South Africa

2. Lagos State University,Department of Electronic and Computer Engineering,Lagos,Nigeria

3. Stellenbosch University,School for Data Science and Computational Thinking,Stellenbosch,South Africa

4. Cape Peninsula University of Technology,Department of Elect., Electronic and Computer Engineering,Cape Town,South Africa

5. University of South Africa,Department of Electrical Engineering, CSET,Johannesburg,South Africa

6. University of South Africa,Department for Computer Science, CSET,Johannesburg,South Africa

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10629651/10629654/10630378.pdf?arnumber=10630378

Reference20 articles.

1. Machine Learning

2. Network Slicing Meets Artificial Intelligence: An AI-Based Framework for Slice Management

3. Network slicing as a service: Towards scalable network management in 5G;Shalimov;IEEE Network,2020

4. Network Slicing in 5G: A Survey on Principles, Enabling Technologies, and Solutions;Costa-Perez;IEEE Communications Surveys & Tutorials,2019

5. Network Slicing-Based Customization of 5G Mobile Services