Injecting cognitive intelligence into beyond-5G networks: A MAC layer perspective

  • Nauman, Ali; 
  • Jamshed, Muhammad Ali; 
  • Ahmad, Yazdan; 
  • Saad, Malik; 
  • Bilal, Muhammad; 
  • 외 2명
Citations

WEB OF SCIENCE

9
Citations

SCOPUS

12

초록

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.

키워드

New radio (NR); Beyond 5G (B5G); Artificial intelligence (AI); Medium access control (MAC) layer; CELLULAR V2X; 5G; DESIGN; URLLC; COMMUNICATION
제목
Injecting cognitive intelligence into beyond-5G networks: A MAC layer perspective
저자
Nauman, Ali; Jamshed, Muhammad Ali; Ahmad, Yazdan; Saad, Malik; Bilal, Muhammad; Shanmuganathan, Vimal; Kim, Sung Won
DOI
10.1016/j.compeleceng.2023.108717
발행일
2023-05
유형
Article
저널명
Computers and Electrical Engineering
권
108