# Resource Allocation Schemes for 5G Network: A Systematic Review
## 5 Discussion
### Q2. What Is the Importance of Resource Allocation in 5G?
\begin{table}
\begin{tabular}{c c c c c c} \hline
**Ref** & **Algorithm/Scheme/Strategy** & **Problem Addressed** & **Improvements/Achievements** & **Limitations/Weakness** \\ \hline
[104] & The device-centric resource allocation scheme & Declining of network throughput and raises delay in resource allocation. & \(\bullet\) &
\begin{tabular}{c} Reduces load at the BS up \\ to 35\%. \\ \end{tabular} & \(\bullet\) & Improvement is required in intelligent resource allocation. \\ \hline
[105] & \
\begin{tabular}{c} Distributed Resource Allocation Algorithm \\ \end{tabular} & Resource allocation and interference management in 5G networks. & \(\bullet\) &
\begin{tabular}{c} Efficient higher data \\ rate results. \\ \end{tabular} & \(\bullet\) & Limited to uplink only. \\ \hline
[106] & \begin{tabular}{c} Physical layer \\ \end{tabular} & \
\begin{tabular}{c} Enhances spectral efficiency \\ waveform, resource allocation, and \\ downlink scheduling. \\ \end{tabular} & \(\bullet\) &
\begin{tabular}{c} Limited to specific \\ parameters and \\ frequency. \\ \end{tabular} \\ \hline
[107] & \begin{tabular}{c} Dynamic joint resource allocation and relay \\ selection scheme \\ \end{tabular} & \begin{tabular}{c} Relay selection and \\ downlink \\ resource allocation. \\ \end{tabular} & \(\bullet\) & \
\begin{tabular}{c} Low computational \\ complexity. \\ \end{tabular} & \(\bullet\) &
\begin{tabular}{c} QoS neglected. \\ Limited metrics \\ are considered. \\ \end{tabular} \\ \hline
[108] & \begin{tabular}{c} Low-Complexity \\ Subgrouping scheme \\ \end{tabular} & \begin{tabular}{c} Radio resource \\ management of \\ multicast transmissions. \\ \end{tabular} & \(\bullet\) & \
\begin{tabular}{c} Improves the Aggregate \\ Data Rate (ADR). \\ \end{tabular} & \(\bullet\) &
\begin{tabular}{c} Focused on data \\ rate only. \\ \end{tabular} \\ \hline
[109] & \begin{tabular}{c} Joint Edge and Central \\ Resource Slicer (JECRS) framework \\ \end{tabular} & \begin{tabular}{c} Requires distinct \\ resources from the \\ lower tier and \\ upper tier. \\ \end{tabular} & \(\bullet\) & \begin{tabular}{c} Satisfies latency and \\ resource requirements. \\ \end{tabular} & \(\bullet\) & \
\begin{tabular}{c} Satisfies latency and \\ resource requirements. \\ \end{tabular} & \(\bullet\) &
\begin{tabular}{c} Needs to support \\ the NFVO. \\ \end{tabular} \\ \hline
[110] & \
\begin{tabular}{c} TCA algorithm \\ \end{tabular} &
\begin{tabular}{c} MTC devices are \\ battery restricted and \\ cannot afford much \\ power consumption \\ needed for \\ spectrum usage. \\ \end{tabular} & \(\bullet\) & Less complex. & \\
[110] & \
\begin{tabular}{c} TCA algorithm \\ \end{tabular} &
\begin{tabular}{c} TCA algorithm \\ power consumption \\ needed for \\ spectrum usage. \\ \end{tabular} & \(\bullet\) & Achieves better & \\
[111] & \begin{tabular}{c} IHM-VD algorithm \\ \end{tabular} & \begin{tabular}{c} Power allocation and \\ channel allocation issue. \\ \end{tabular} & \(\bullet\) & \
\begin{tabular}{c} Outperforms energy \\ efficiency. \\ \end{tabular} & \(\bullet\) &
\begin{tabular}{c} Focuses on \\ specific \\ parameters and \\ particular domain. \\ \end{tabular} \\ \hline \end{tabular}
\end{table} 
Table 4: _Cont._  
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Ref** & **Algorithm/Scheme/Strategy** & **Problem Addressed** & **Improvements/Achievements** & **Limitations/Weakness** \\ \hline \multirow{8}{*}{[112]} & Centralized approximated & The inter-tier & \multirow{8}{*}{\(\bullet\)} & Ensures interference mitigation. & \multirow{8}{*}{\(\bullet\)} & Limited to \\  & Centralized approximated & interference among & & & inter-tier \\  & online learning resource & macro-BS and RRHS; & \multirow{8}{*}{\(\bullet\)} & Maximizes energy & \multirow{8}{*}{\(\bullet\)} & mitigation.