… by integrating artificial intelligence (AI) in the network. We outline a general framework for
AI-based network slice management, introducing AI in the different phases of the slice life cycle…

… based architecture and explain why and where artificial intelligence (AI) should be incorporated
into this architecture. Second, the motivation, research challenges, existing works, and …

… dynamic slicing problems in 6G. In view of this, we provide a tutorial on AIassisted 6G network
slicing for network … service provisioning, aiming to show the prospect of 6G slicing and the …

… We also discuss the status of artificial intelligence and machine learning related activities …
The main contribution of this paper is to highlight the essential functions of network slicing …

… virtualization, and ubiquitous intelligence. This article … an artificial intelligence (AI)-native
network slicing architecture for 6G networks to enable the synergy of AI and network slicing, …

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

… situations and network traffic groups that are operating on the same networks using a network
slicing architecture [4]. Because of network slicing, it is possible to build many 5G networks …

… the flexibility to program the underlying networks. Taking advantage of SDN and NFV, network
slicing [12] that allows multiple virtual networks to provide dedicated functionality specific …

… the modern techniques of machine learning and artificial intelligence are applied to
assist … in network slicing, namely the slice admission control and the cross-slice resource …

… 4a, we predict the network load of each network slice based on the incoming connection
and keep track of which output ‘network slice’ is being utilized most. We then allocate incoming …