Clustering-Based Analysis on 5G Networks: A Comparison

To satisfy the growing capacity demand and provide consumers with a higher level of service, it is anticipated that future-generation wireless networks will run entirely automatically. Utilizing spatiotemporal data on users and network health, mobile wireless networks may infuse the system with end-to-end visibility and intelligence. To handle the shifting conditions and the delivery of complex requirements for complicated services in a digital world with a highly engaged machine ecology, the future cellular system must be a neural carrier. By enabling the network to train and act, artificial intelligence enabled by “5G technology” can improve the network’s interactive and decision-making capabilities. This study offers a thorough analysis of current clustering models in 5G networks.