## 4 Results and Discussion
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Authors** & **Technology** & **Objectives** & **Contribution** & **RQ1** & **RQ2** & **RQ3** \\ \hline [PERSON] and [PERSON] [109] & 5G network, AI, Cloud computing, and big data & The following paper describes the health-related uses of 5G internet innovations involving telecare, virtual healthcare emergencies, and utilization of virtual automation. & This publication’s authors investigate the development and health-related uses of 5G internet technologies. & Yes \\ \hline [PERSON] et al. [110] & NOMA & To lessen the average scheme’s latency, the scholars use a proactive behaviour-shaping approach called suggestion in cache-assisted NOMA structures. & The study findings show that, when measured against extensive benchmark procedures, the proposed joint optimization strategy benefits from the system latency and the ratio of cache hits. & Yes \\ \hline [PERSON] et al. [111] & MEC, UAV, Deep reinforcement learning (DRL) & The scholars presented a paradigm for a MEC-improved aerial providing infrastructure in which aerial vehicles—drones, UAVs, etc.—fly in the air to provide services to remote places without terrestrial base stations. & They formulate a deep deterministic policy gradient (DDFG)-a based method called HAMEC to address the issue identified in the literature using a deep reinforcement learning (DRL) framework. & Yes \\ \hline [PERSON] et al. [112] & NOMA, Orthogonal frequency division multiplexing, & This paper employs the most common soft limiter (SL) technique with input back-off (IBO) as a valuable regulating measure. & The feasible data rate for users, the total rate capacity, the system’s fairness, and the bit error rate (BER) of each operator are all considered while analyzing the effectiveness of the OFDM-NOMA structure in the existence of nonlinear falsification in both UL and DL. & Yes \\ \hline [PERSON] et al. [113] & MEC, 6G network & The authors examine a multiobjective task scheduling issue in a 6G network with MEC support. & A DAG-based task scheduling problem is addressed with the improved multiobjective cuckoo search (IMOCS) method to decrease UE execution delay and energy usage. & Yes & Yes \\ \hline [PERSON] et al. [114] & NOMA, Single in, Single out (SISO), 6G technology, reconfigurable intelligence surface (RIS) & The authors considered the handling effectiveness and ergodic capability of a cooperative NOMA of an IoT structure. & Simulation results indicate that RIS-aided NOMA has a reduced outage risk compared to conventional NOMA. & Yes & Yes \\ \hline [PERSON] et al. [115] & NOMA, OFDM, Bi-Directional Deep Neural Network Network & A DNN with bi-directional Bi-LSTM is suggested for multiple access uplink channel estimate (CE) and frequency identification of the first frequency band. & The suggested strategy is suitable for 5G wireless communication because it enhances the signal-to-noise ratio and symbol-error rate. & The suggested strategy is suitable for 5G wireless communication because it enhances the signal-to-noise ratio and symbol-error rate. & Yes & Yes \\ \hline \hline \end{tabular}
\end{table} 
Table 4: _Cont._  
\begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
Table 4 also provides insights on the RQs examined, the methodology employed, the goals, and the contributions made from the study investigated from existing research. The breadth of technologies used by investigators in their various studies is shown in Table 4 by class for evaluated published articles. Table 5 demonstrates the results of this investigation's three research questions (RQ). RQ1 is on DL algorithms utilized to reduce computational overhead in NOMA-enabled MEC in a 6G network. RQ2 is on approaches employed to minimize transmission delay and lower complexity; finally, RQ3 is on the taxonomy of NOMA-based MEC used to address technologies in NOMA and MEC in 6G networks. Each piece of literature demonstrates the results of each of the RQs formulated in the study. It can be deduced that most of the literature provides answers to RQ1 and RQ3.