Statistical Analysis and Modeling of User Micro-mobility for THz Cellular Communications

Abstract

In recent years, Terahertz technology emerged as a major enabler for 6G, which will support Terabits per second links with high throughput and low latency. However, one of the most significant disadvantages of working with the Terahertz band is very high path loss which can be mitigated by using massive antenna arrays at the base station with a highly directive narrow beam, but it raises the issue of micro-mobility. The first part of this thesis focuses on the evolution of mobile technologies, history, and challenges associated with the Terahertz band. An in-depth study of applications of 6G has been conducted, and basic properties of the Terahertz band are also discussed in detail. The second part focuses on measurement methodology, where four use cases are considered to see the micro-mobility patterns of different applications. These micro-mobility patterns are then analyzed according to the link alignment criterion. Finally, the mobility patterns of the user equipment are analyzed in terms of distance dependant velocity and drift to origin parameters. The results showed that the micro-mobility trajectories are application-specific, and individual metrics differ depending on the application's nature. The results showed the distance-dependent drift, the mean velocity of the micro-mobility patterns, and the correlation of user equipment mobility as x-and y-axis projections. The analysis of this thesis could be very useful for designing beam searching algorithms for the Terahertz communication system to avoid outage state.