Estimating Base Station Traffic and Throughput Using Machine Learning Based on Hourly KPI Network Analysis

H Yuliana, Y Musashi - IEEE Access, 2024 - ieeexplore.ieee.org
This research focuses on analyzing and predicting traffic and throughput at base stations in
cellular networks using machine learning algorithms. The main research area is network …

5G RAN service classification using long short term memory neural network

M Khadmaoui-Bichouna… - 2024 International …, 2024 - ieeexplore.ieee.org
5G brings many benefits such as enlarged capacity and improved connectivity. However, it
also poses challenges especially due to a significant increase in the amount of traffic on the …

Network Slicing and Traffic Classification in 5G Networks with Explainable Machine Learning

N Singh, G Pranay, V Ravi - … on Data Management, Analytics & Innovation, 2024 - Springer
To improve network management in 5G networks by utilizing network slicing and traffic
classification, we propose explainable machine learning techniques. For achieving …

Real-time Traffic Classification for 5G NSA Encrypted Data Flows With Physical Channel Records

X Fei, P Martins, J Lu - 2023 IEEE 98th Vehicular Technology …, 2023 - ieeexplore.ieee.org
The classification of fifth-generation New-Radio (5G-NR) mobile network traffic is an
emerging topic in the field of telecommunications. It can be utilized for quality of service …

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

LA Akinyemi, OP Oshinuga, SO Oladejo… - … and Business for …, 2024 - ieeexplore.ieee.org
This study demonstrates the utilization of Machine Learning (ML) for network slice
prediction, enabling the optimization of resources for diverse network slices. Traditional …