K - Means Artificial Intelligence Clustering Technique for 6G Propagation Channels

The global contemporary revolution is accelerating in our modern environment. Mobile communications have undergone a generational transition at regular periods. While fifth-generation (5G) structures are presently beginning to be financially suitable and with the benefaction of high Mm Wave and terahertz (THz) frequencies, there is a great deal of interest in systems past 5G. It is known as the 6Th generation (6G) remote system. In recent years, the development of Artificial Intelligence (AI) has rapidly grown, leading to its integration into various fields, including wireless communications. This integration of AI in wireless communication technologies can potentially revolutionize the future of 6G technology. The widespread use of new generation Information and Communications Technology (ICT) such as AI, blockchain innovation, virtual reality (VR), augmented reality (AR), etc. With the usage of high Mm Wave, the structure and propagation of the wireless signal is unknown. This paper studies the behavior of Channel State Information (CSI) via unsupervised learning method such as K-Means clustering methods in 145 GHz bands.