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Non-Orthogonal Multiple Access Enabled Mobile Edge Computing in 6G Communications: A Systematic Literature Review

Author

Listed:
  • Roseline Oluwaseun Ogundokun

    (Department of Computer Science, Landmark University, Omu-Aran 251103, Nigeria
    Department of Multimedia Engineering, Kaunas University of Technology, 44249 Kaunas, Lithuania)

  • Joseph Bamidele Awotunde

    (Department of Computer Science, Faculty of Information and Communication Sciences, University of Ilorin, Ilorin 240003, Nigeria)

  • Agbotiname Lucky Imoize

    (Department of Electrical and Electronics Engineering, Faculty of Engineering, University of Lagos, Akoka, Lagos 100213, Nigeria
    Department of Electrical Engineering and Information Technology, Institute of Digital Communication, Ruhr University, 44801 Bochum, Germany)

  • Chun-Ta Li

    (Bachelor’s Program of Artificial Intelligence and Information Security, Fu Jen Catholic University, New Taipei City 24206, Taiwan)

  • AbdulRahman Tosho Abdulahi

    (Department of Computer Science, Institute of Information and Communication Technology, Kwara State Polytechnic, Ilorin 240211, Nigeria)

  • Abdulwasiu Bolakale Adelodun

    (ECWA College of Nursing and Midwifery, Egbe 262103, Nigeria)

  • Samarendra Nath Sur

    (Department of Electronics and Communication Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Majitar 737136, Sikkim, India)

  • Cheng-Chi Lee

    (Research and Development Center for Physical Education, Health, and Information Technology, Department of Library and Information Science, Fu Jen Catholic University, New Taipei City 24205, Taiwan
    Department of Computer Science and Information Engineering, Asia University, Taichung City 41354, Taiwan)

Abstract

Mobile edge computing (MEC) supported by non-orthogonal multiple access (NOMA) has recently gained a lot of interest due to its improved ability to lessen power consumption and MEC offload delay. In recent decades, the need for wireless communications has increased tremendously. Fifth-generation (5G) communications will soon be widely used and offer much more functionality than a fourth generation (4G). Between 2027 and 2030, an innovative wireless communication paradigm is known as the sixth generation (6G) system is projected to be introduced with the full help of artificial intelligence (AI). Advanced system capacity, higher data rate, lower latency, advanced security, and improved quality of service (QoS) than 5G systems are a few of the main challenges to resolve with 5G. The growing need for data rates in the sixth generation (6G) communication networks are being met by extraordinary technologies such as NOMA, Soft Computing (SC), and MEC. Owing to the massive attention to the NOMA-enabled MEC, there has been a significant spike in the number of papers published in this area, while more comprehensive studies and classifications are still needed. Using the preferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines, the investigation reports a systematic literature review (SLR) of NOMA-enabled MEC. This survey also evaluates numerous pieces of literature prudently chosen over a multi-step procedure and meets the selection criteria described in the paper summarizing our review.

Suggested Citation

  • Roseline Oluwaseun Ogundokun & Joseph Bamidele Awotunde & Agbotiname Lucky Imoize & Chun-Ta Li & AbdulRahman Tosho Abdulahi & Abdulwasiu Bolakale Adelodun & Samarendra Nath Sur & Cheng-Chi Lee, 2023. "Non-Orthogonal Multiple Access Enabled Mobile Edge Computing in 6G Communications: A Systematic Literature Review," Sustainability, MDPI, vol. 15(9), pages 1-34, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7315-:d:1134981
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    Citations

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    Cited by:

    1. Huu Q. Tran & Samarendra Nath Sur & Byung Moo Lee, 2024. "A Comprehensive Analytical Framework under Practical Constraints for a Cooperative NOMA System Empowered by SWIPT IoT," Mathematics, MDPI, vol. 12(14), pages 1-25, July.

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