Nauman, A., Jamshed, M. A., Ahmad, Y., Saad, M., Bilal, M., Shanmuganathan, V. and Kim, S. W. (2023) Injecting cognitive intelligence into beyond-5G networks: a MAC layer perspective. Computers and Electrical Engineering, 108, 108717. (doi: 10.1016/j.compeleceng.2023.108717)
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Abstract
The rapid rise of heterogeneous data traffic exposes the shortcomings of fifth-generation (5G) technology, which was initially designed to form self-organizing and self-sustaining networks to facilitate the adoption of the Internet-of-Everything (IoE). This study presents the applications and service requirements of future communication networks. This study details flexible design agreements of the Medium Access Control (MAC) layer of Beyond-5G (B5G) from the current 3rd Generation Partnership (3GPP) study and highlights the current open research issues and challenges which are yet to be optimized. To ensure that the network is self-sustaining and self-organized for B5G paradigm, an intelligent network design is required. Artificial Intelligence (AI) is revolutionizing every aspect of life, therefore, this article provides an overview of how AI plays an important role in improving future-generation communication by solving MAC-related issues.
| Item Type: | Articles |
|---|---|
| Additional Information: | This research was supported in part by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education (NRF-2021R1A6A1A03039493) and in part by the NRF grant funded by the Korea government (MSIT) (NRF-2022R1A2C1004401). |
| Keywords: | New radio (NR), beyond 5G (B5G), Artificial Intelligence (AI), Medium Access Control (MAC) Layer. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Jamshed, Dr Muhammad Ali |
| Authors: | Nauman, A., Jamshed, M. A., Ahmad, Y., Saad, M., Bilal, M., Shanmuganathan, V., and Kim, S. W. |
| College/School: | College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity |
| Journal Name: | Computers and Electrical Engineering |
| Publisher: | Elsevier |
| ISSN: | 0045-7906 |
| ISSN (Online): | 1879-0755 |
| Published Online: | 13 April 2023 |
| Copyright Holders: | Copyright © 2023 Elsevier Ltd. |
| First Published: | First published in Computers and Electrical Engineering 108: 108717 |
| Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
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