OMA to NOMA-mmWave: A Paradigm Shift for Enhanced 5G Throughput – Trade-offs and Future Directions

International Journal of Computer Science and Engineering |
© 2025 by SSRG - IJCSE Journal |
Volume 12 Issue 3 |
Year of Publication : 2025 |
Authors : Padmageetha B.G, Pramod Kumar Naik, Mallanagouda Patil |
How to Cite?
Padmageetha B.G, Pramod Kumar Naik, Mallanagouda Patil, "OMA to NOMA-mmWave: A Paradigm Shift for Enhanced 5G Throughput – Trade-offs and Future Directions," SSRG International Journal of Computer Science and Engineering , vol. 12, no. 3, pp. 23-32, 2025. Crossref, https://doi.org/10.14445/23488387/IJCSE-V12I3P104
Abstract:
Today, the demand for wireless communication has increased exponentially, and multiple access technologies are constantly evolving to provide high throughput, spectral efficiency, and maximum resource utilization in 5G networks. Recently, Non-Orthogonal Multiple Access (NOMA) appeared as an important technique to increase utilization of the spectrum, allowing different users to transmit simultaneously over the same time and frequency resources. This paper presents a comprehensive analysis of NOMA based system with access technologies and diversity techniques to improve the performance of a 5G network system. The paper further emphasises machine learning models, including polynomial regression and XGBoost, which can further enhance spectral efficiency while keeping better outage probability among users. Finally, the evolution of access technologies in terms of the transition from orthogonal multiple access (OMA) to NOMA features is investigated to enhance resource allocation. Further, the proposed methodology discusses the hybrid concept of NOMA with mmWave frequency, and experimental results on increasing throughput and reducing the latency are presented. Future research directions of the paper show the comparison study of outage probability using regression and XGBoost. This paper discusses the superpower NOMA mmWave that becomes the foundation for the next Generation 6G wireless networks in terahertz (THz) and provides useful information in the optimization of heterogeneous networks.
Keywords:
OMA, NOMA, 5G Networks, Spectral Efficiency, Resource Allocation.
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