The Role of Edge Artificial Intelligence in 6G Networks

The deployment of 5G networks have marked the beginning of a veritable digital society. They have achieved significant improvements in terms of latency, data rates, spectral efficiency, mobility and number of connected smart mobile devices. However, still 5G networks would not be able to respond to the rapid growth of the traffic demands. Therefore, the main research and development activities have already started to focus on the next 6G mobile and wireless network, which is expected to be commercially deployed by 2030. The main driver in 6G network architecture design and optimization is anticipated to be the Artificial Intelligence. In this direction, this paper proposes an architecture of 6G network, where the artificial intelligence is delivered at the edge of the network, and it performs a QoS evaluation of 6G network in terms user throughput.