… simple use of traffic classification and network slicing techniques. A dynamic and transparent
allocation of slices at the radio level was carried out in a real 5G network deployment. This …

… , a solution for network slicing is introduced by a ML-based traffic classification model. The …
to achieve accurate detection of the suitable slice for each traffic. Previous results of this work …

… Finally, using a 5G standalone (SA) experimental network solution, we … traffic that is
dispatched through the most suitable slice. The results demonstrate that the use of network slicing …

… the current mobile traffic and mobile-network architecture. Mobile Traffic forecasting is one of
… tries to predict the current network slice that would be classified into streaming, messaging, …

… network slicing and network traffic classification are important aspects of modern networking
… XAI-based approach to network slicing and traffic classification. The suggested technique …

… network slicing. In this letter, we propose multi-lane CapsNet assisted network traffic classification
(… [13] to classify traffic in 5G network slicing. This architecture splits the deep learning …

… SONs and network slicing. Finally, based on this framework, we successfully implemented
an early state traffic classification and network slicing for mobile broadband traffic applications …

… and identify encrypted traffic easily. This paper investigates traffic classification techniques
based on … engineering, SDN forwarding rules, network slicing, and flow QoS management is a …

… By operating on total traffic volumes only, our approach overcomes the complexity and … of
legacy traffic classification techniques, and provides a suitable input to recent ‘Network Slice as …

… the network slice used in the 5G networks and how network slices manage the network
traffic with SoDeMa, which allows us to increase the availability and accessibility of the network …