ENERGY EFFICIENCY IN 6G MOBILE NETWORKS

Stojan Kitanov; Ivan Petrov; Vladimir Nikolikj; Toni Janevski

doi:10.51466/JEEIT2491217033k

Stojan Kitanov Mother Teresa University, Faculty of Informatics, Skopje, Macedonia
Ivan Petrov School of Computer Science and Information Technology, University American College, Skopje, Macedonia
Vladimir Nikolikj European University, Faculty of Informatics, Skopje, Macedonia
Toni Janevski Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University in Skopje, 18 Rugjer Bošković Str., 1000 Skopje, Republic of Macedonia

DOI: https://doi.org/10.51466/JEEIT2491217033k

Keywords: 5G, 6G, artificial intelligence, Internet of Things

Abstract

The 5G network technology is finding its use in variety of sectors in the global industry. Significant improvements are achieved in terms of latency, data rates, spectral efficiency, mobility, and number of connected smart mobile devices. Digital society and smart cities are reality. 5G networks offer a wide range of applications and services, but still have some limitations regarding the rapidly increasing data traffic demands. The focus of the research and development activities are set on the next 6G mobile and wireless networks, which are expected to be commercially available around 2030. In this direction, this paper proposes a 6G Advanced Wireless Mobile Heterogeneous Access Network (6G AWN-HAN) architecture with artificial intelligence, whose description is expected to contribute in defining the specification standards of 6G network. It also evaluates the performance quality of artificially intelligently, orchestrated services in 6G mobile networks in terms of energy efficiency. The research results show a significant improvement in energy efficiency by applying artificial intelligence at the edge of the network.