# 6G Mobile Networks: Key Technologies, Directions, and Advances
## 5 Role of Network Slicing in 6G Technology
### Network Slicing Recent Advances  
In [67], network slicing enables the move from a network-as-infrastructure to a network-as-a-service architecture, enabling a variety of smart services with varying requirements. The paper describes and examines major recent breakthroughs in network slicing to enable a variety of Internet of Things (IoT) smart applications. The following factors are used to create a taxonomy for network slicing: essential design principles, enablers, resource designs for tiers, infrastructure facilities, protection, and server application linking are all cut into different pieces. For the purpose of facilitating Internet-of-things smart environments, recent developments in network slicing, taxonomies, objectives, use applications, & ongoing research areas are examined. It takes network slicing to create a variety of possible 6G systems. Network slicing would also be a vital technique for converting modern-day cities into smart environments that use technological advances to significantly raise the standard of living for citizens [68].  
Table 5 indicates the contributions made by several authors with respect to network slicing in terms of the Core or RAN network, the performance metrics of the slices, as well as the applicable security associated with them.  
\begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline
**Authors** & **Key Contribution** & **R1** & **R2** & **LB** & **RA** & **SFM** & **Z1** & **Z2** & **Z3** & **SEC** \\ \hline
[14] & (AI)-native network slicing architecture & ✓ & X & X & ✓ & X & ✓ & ✓ & X & X \\ \hline
[69] & Implementation of intelligent D2D in future 6G. & ✓ & X & X & ✓ & X & ✓ & ✓ & ✓ & ✓ \\ \hline
[67] & Artificial Intelligence-based Network slicing framework for future 6G. & X & ✓ & X & ✓ & X & ✓ & ✓ & ✓ & ✓ \\ \hline
[15] & Blockchain’s potential for resource management and sharing in 6G. & X & X & ✓ & X & ✓ & X & ✓ & ✓ \\ \hline
[64] & Hybrid deep learning-enabled efficient congestion control technique. & X & X & ✓ & ✓ & ✓ & ✓ & X & ✓ & ✓ \\ \hline
[70] & Mathematical model for the generic network slice design. & X & X & X & ✓ & ✓ & X & X & ✓ \\ \hline
[63] & Resource management paradigm employing deep reinforcement learning. & ✓ & ✓ & X & ✓ & X & ✓ & ✓ & X & X \\ \hline
[1] & 6G Network Architecture based on virtualized network slicing & ✓ & ✓ & X & ✓ & X & ✓ & ✓ & ✓ \\ \hline
[17] & Self-managed and self-orchestrated slices sustained using 6G-LEGO. & ✓ & ✓ & X & ✓ & X & X & ✓ & ✓ \\ \hline
[16] & Recursive network slicing between several Autonomous Systems using NASOR. & X & X & X & X & ✓ & X & ✓ \\ \hline
[58] & Deep Reinforcement Learning for network slicing resource management. & ✓ & ✓ & X & ✓ & X & ✓ & ✓ & ✓ \\ \hline
[57] & Smart 6G Networks with AI. & X & ✓ & X & ✓ & X & ✓ & ✓ & X & ✓ \\ \hline
[59] & Algorithms for Machine Learning in 6G Wireless Networks & X & X & X & ✓ & X & ✓ & ✓ & ✓ \\ \hline
[62] & A smart and open 6G network. & ✓ & X & X & X & X & ✓ & ✓ & ✓ \\ \hline
[71] & For 6G, an intelligent self-sustaining RAN slicing framework has been developed. & X & ✓ & X & ✓ & ✓ & ✓ & ✓ & X \\ \hline
[2] & 6G Cognitive Load Balancing Methodology & X & ✓ & ✓ & X & X & ✓ & ✓ & ✓ & X \\ \hline
[20] & The report discusses potential 6G requirements and trends. & X & X & ✓ & X & ✓ & ✓ & ✓ & ✓ \\ \hline \hline \end{tabular}
\end{table}
Table 5: State of art studies of network slicing in 6G network (R1: Core network, R2: RAN network, LB: Load balancing, RA: Resource allocation, SFM: Slice failure management, Z1: AI in network slicing, Z2: Optimization in network slicing, Z3: IoT in network slicing, SEC: Security). Discussed: ✓; Never Mentioned: X.