… the network slicing performance. This work aims to design an efficient network slicing using
a hybrid learning … extraction (OWFE), and (c) Slicing classification. First, we collected the 5G …

… We briefly introduce 5G network slicing and deep learning concepts in Section II, some
background work details are in Section III, we explain our DeepSlice model in Section IV and in …

… Network slicing is a smart application idea for the Internet of Things that … network design
must be improved to meet network slicing model needs. Adapting the 5G network slicing concept …

… of machine learning tools in solving complex mobile network … the gap between Deep RL
and the 5G network slicing research, by … First, the basic concepts of Deep RL framework are …

… 5G networks embrace the concept of Network Slicing (NS) [4]… for intelligent network slice
LCM, from the slice preparation to … cycle [29] and covering all network domains (RAN, TN, and …

… the envisioned 5G network slicing and elaborate the necessity of automation of network
functions for the … Network slicing is the key design concept being introduced in 5G/IMT-2020 …

… ) network slicing resource allocation algorithm based on Deep Q-Networks (DQN), which is
suitable for multi-slice … introduces the concept of network slicing into mobile communication …

… This paper outlines the 5G network slicing concept, its layers … represent how network slicing
influences the 5G network. This … emphasizes Machine Learning-based Network Slicing and …

… different definitions and specifications of network slicing concepts of different institutes such
… concepts, they discussed some use cases on the support for MEC-enabled network slicing …

… a Neural Network based ‘Secure5G’ Network Slicing model to … before they infest the 5G core
network. ‘Secure5G’ is a resilient … The 5G Network Slicing concept is fully utilized to manage …