RECONFIGURABLE INTELLIGENT SURFACE AIDED NON-ORTHOGONAL MULTIPLE ACCESS COMMUNICATIONS: A REVIEW

Authors

  • B. F. Aderinkola Department of Electrical and Electronic Engineering, The Federal Polytechnic, PMB 231, Ede, Osun State, Nigeria
  • H. O. Lasisi Department of Electrical and Electronic Engineering, Osun State University, PMB 4494, Osogbo, Osun State, Nigeria.
  • O. Oladepo Department of Electrical and Electronic Engineering, Osun State University, PMB 4494, Osogbo, Osun State, Nigeria.
  • F. M. Adeagbo Department of Electrical and Electronic Engineering, Osun State University, PMB 4494, Osogbo, Osun State, Nigeria.
  • M. O. Asafa Department of Electrical and Electronic Engineering, Bells University of Technology, PMB 1015, Ota, Ogun State, Nigeria.

DOI:

https://doi.org/10.63747/jeis.v1i1.11

Keywords:

Reconfigurable Intelligent Surface, Non-Orthogonal Multiple Access, base station, users, SINR, Power allocation

Abstract

The exponential growth of the wireless data traffic and the rapid increase of linked devices have highlighted the limitations of conventional radio access technologies to respond to the needs of the next generation communication networks. Reconfigurable Intelligent Surface (RIS) technology has become an emerging transformative paradigm which can engineer smart wireless propagation environment through programmable meta-surfaces. At the same time, Non-Orthogonal Multiple Access (NOMA) has received massive interest due to the capability to increase spectral efficiency and provide a massive connectivity. This review work presents a comprehensive and structured analysis of the emerging integration of RIS and NOMA system, emphasizing the integration framework, system architectures, channel models, and signal processing methods. The proposed scope also discusses theoretical backgrounds as well as practical applications, viz., complex channel estimation schemes, power allocation mechanisms, and joint optimisation schemes. The review in addition defines trade-offs in performances of spectral efficiency, energy efficiency, and user fairness and critically reviews optimisation frameworks entailing machine learning and metaheuristics techniques. The present survey is unique in that it has summarised the latest developments as well as categorising RIS-NOMA strategies in terms of their system design and usage scenarios. Major open issues have been outlined, and the prospective areas of research have been suggested to guide the practical implementations of RIS-NOMA into 6G, and beyond networks. The piece of work can be utilised by scholars and engineers as their guiding text to leveraging RIS-NOMA in realising intelligent, scalable, and energy-efficient wireless transmission systems

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2025-07-28

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Vol. 1 No. 1 (2025): Volume 1, Issue 1, July 2025

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