Abstract
The development of mobile edge computing (MEC) is expected to offer better performance in mobile communications than the current cloud computing architecture. MEC involves offering the closest access to the data source or physical mobile network environment. The network services are able to respond faster, thus satisfying the demands of the mobile network industry when deploying various potential business applications in real-time. Since the harvested mobile data are transferred to the edge server to make calculations, data transfers and faults in the mobile network can be swiftly pinpointed and removed accurately. Nevertheless, there are still problems in the practical application of the systems, specifically in reducing delays and lessening energy consumption. Because of non-orthogonal multiple access (NOMA) superior spectrum efficiencies, it is best to combine NOMA with MEC for simultaneous support of multiple access for end users, thus reducing transmission latencies and lowering energy consumption. Combining MEC and NOMA would offer many advantages, including superior energy savings, reductions in latency, massive connectivity, and the potential of combining with additional transmission technologies, such as millimetre-wave (mmWave) and M-MIMO. In this paper, designing wireless resource allocation is crucial for an economically viable low-latency wireless network, which can be realised using the Karush–Kuhn–Tucker (KKT) approach to obtain the optimal solution for partial and full offloading network traffic scenarios to minimize the total latency of the MEC network. The convergence and performance for orthogonal multiple access (OMA), pure-NOMA (P-NOMA), and hybrid-NOMA (H-NOMA) are also compared under different network traffic offloading scenarios. The significant results from this study showed the convergence of the optimal resource allocation in the case of full and partial offloading. The results demonstrated that the P-NOMA reduces the total offloading delay by about 11%.
Highlights
As 5G technology has begun its rollout, certain transmission techniques—for example, non-orthogonal multiple access (NOMA) and massive multiple-input multiple-output (MMIMO)—can offer vast improvements in the spectrum efficiency and are well suited to the requirements of low-latency/high-reliability services for smart distribution networks [1,2,3].in the event of the smart distribution networks experiencing electrical fault/trips, line short-circuits, and switching equipment failure, connectivity to traditional cloud computing will be disrupted due to its dependency on various layers of telecommunication equipment
In comparison with conventional orthogonal multiple access (OMA), in which orthogonal bandwidth resource blocks are allocated to users, NOMA users are encouraged to participate in sharing the same spectrum, where sophisticated transceiver designs, e.g., successive interference cancellation (SIC) and superposition coding, will be employed for handling multiple access interference
The emphasis of this research is on the influence of NOMA on the first phase of mobile edge computing (MEC), with the premise that the costs of the second phase of MEC are insignificant for the sake of our analysis
Summary
As 5G technology has begun its rollout, certain transmission techniques—for example, non-orthogonal multiple access (NOMA) and massive multiple-input multiple-output (MMIMO)—can offer vast improvements in the spectrum efficiency and are well suited to the requirements of low-latency/high-reliability services for smart distribution networks [1,2,3]. In the event of the smart distribution networks experiencing electrical fault/trips, line short-circuits, and switching equipment failure, connectivity to traditional cloud computing will be disrupted due to its dependency on various layers of telecommunication equipment. This can cause a delay in responding to accidents and the length of time needed to locate and restore faults, making the 5G distribution network unreliable. In comparison with conventional orthogonal multiple access (OMA), in which orthogonal bandwidth resource blocks are allocated to users, NOMA users are encouraged to participate in sharing the same spectrum, where sophisticated transceiver designs, e.g., successive interference cancellation (SIC) and superposition coding, will be employed for handling multiple access interference
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