Skip to content

This project is for the work on my article. It is based on simulation of a 5g network to improve its management through a more efficient classification of services

Notifications You must be signed in to change notification settings

jdavid9/Simulation

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 

Repository files navigation

Simulation

This project is for the work on my article "5G/B5G Service Classification Using Supervised Learning". It is based on simulation of a 5g network to improve its management through a more efficient classification of services. The link is: https://www.mdpi.com/2076-3417/11/11/4942 The abstract of the paper is: The classification of services in 5G/B5G (Beyond 5G) networks has become important for telecommunications service providers, who face the challenge of simultaneously offering a better Quality of Service (QoS) in their networks and a better Quality of Experience (QoE) to users. Service classification allows 5G service providers to accurately select the network slices for each service, thereby improving the QoS of the network and the QoE perceived by users, and ensuring compliance with the Service Level Agreement (SLA). Some projects have developed systems for classifying these services based on the Key Performance Indicators (KPIs) that characterize the different services. However, Key Quality Indicators (KQIs) are also significant in 5G networks, although these are generally not considered. We propose a service classifier that uses a Machine Learning (ML) approach based on Supervised Learning (SL) to improve classification and to support a better distribution of resources and traffic over 5G/B5G based networks. We carry out simulations of our proposed scheme using different SL algorithms, first with KPIs alone and then incorporating KQIs and show that the latter achieves better prediction, with an accuracy of 97% and a Matthews correlation coefficient of 96.6% with a Random Forest classifier

About

This project is for the work on my article. It is based on simulation of a 5g network to improve its management through a more efficient classification of services

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published