## 2 Related Works
In this suggested research, PROMETHEE-II and SLE algorithms were employed to install VNFs in the physical infrastructure. Additionally, almost all of the methodologies for network slicing make use of a scale-free network model [30], which has some drawbacks in terms of identifying the shortest pathways for NSRs. Scale-free network models will be less efficient when NSRs are more closely scheduled and also have a longer life-time. This initiative aims to construct a slice-friendly physical infrastructure in order to maximize benefits to stakeholders with the fewest pos \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Ref. No.** & **Objectives** & **Node Provisioning for NSR Nodes** & **Link Provisioning for NSR Nodes** & **Physical Network** & **Resource** & **Security Issues** \\ \hline \multirow{3}{*}{[17]} & Slice acceptance ratio and revenue-to-cost ratio & Deterministic and random rounding & Deterministic and random rounding & Scale-free & Bandwidth and CPU capacity & Not considered \\ \cline{2-7}  & Acceptance ratio and resource efficiency & Acceptance ratio and resource efficiency & k shortest path Floyd algorithm & Scale-free & Bandwidth and CPU capacity & Not considered \\ \hline \multirow{3}{*}{[19]} & Acceptance ratio and resource efficiency & Simulated annealing & Simulated annealing & Scale-free & Bandwidth and CPU capacity & Not considered \\ \cline{2-7}  & Acceptance ratio and resource efficiency & \multirow{2}{*}{LAVA approach} & \multirow{2}{*}{LAVA approach} & \multirow{2}{*}{Scale-free} & Bandwidth and CPU capacity & Not considered \\ \cline{2-7}  & Acceptance ratio and resource efficiency & & GLL approach & & & & \\ \cline{2-7}  & Slice acceptance ratio and revenue-to-cost ratio & Greedy mode mapping & Dijkstra’s algorithm & Scale-free & Bandwidth and CPU capacity & Considered \\ \hline \multirow{3}{*}{[24]} & Resource utilization and outage probability and resource efficiency & \multirow{2}{*}{Markov decision process} & \multirow{2}{*}{Markov decision process} & \multirow{2}{*}{Scale-free NOMA} & \multirow{2}{*}{Power and subcarrier} & \multirow{2}{*}{Considered} \\ \cline{2-7}  & & & & & & \\ \cline{2-7}  & Spectral efficiency and reliability & & & & & \\ \hline \multirow{3}{*}{[26]} & Spectral efficiency and reliability & \multirow{3}{*}{JSPA} & \multirow{3}{*}{JSPA} & \multirow{3}{*}{Scale-free OFDMA} & \multirow{2}{*}{Power and subcarrier} & \multirow{2}{*}{Not considered} \\ \cline{2-7}  & & & & & & \\ \cline{2-7}  & Slice acceptance ratio and revenue-to-cost ratio & \multirow{3}{*}{Node ranking using VIKOK} & k shortest path algorithm & Scale-free & Bandwidth and CPU capacity & Considered \\ \hline \multirow{3}{*}{[28]} & Slice classification accuracy & DBN and NN, GS-DHOA for weight function adjustments & DBN and NN, GS-DHOA for weight function adjustments & - & Performance dataset consists of network features & Considered \\ \hline \multirow{3}{*}{[29]} & Latency and training loss & \multirow{3}{*}{GNN model with DT} & \multirow{3}{*}{GNN model with DT} & \multirow{3}{*}{-} & \multirow{3}{*}{Performance dataset consists of network features} & \multirow{3}{*}{Considered} \\ \cline{2-7}  & Acceptance ratio and resource efficiency & & & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Summary of literature. sible facilities. The small-world network is one of the physical network infrastructures proposed for future wireless mobile networks. Experiments in [31] were performed to make a complete investigation of the small-world network. This research adopted the Watts-Strogatz [32] small-world network concept to develop a slicing-friendly physical design. The most important breakthrough in this work is the utilization of the small-world network for the construction of physical infrastructure. Utilizing a small-world network results in improvements to the bandwidth, as well as CPU resources.