Digital Twin of 6G Wireless Network: Data Management and Visualization Service

Abstract

The 6G technology is bringing exceptional advancements in mobile networks, making it necessary to innovate data management and visualization approaches as the data volumes will be extensive and with the help of visualization tools bottlenecks can be detected. A system-level simulator is used for modelling and analysing the performance of complex telecommunications systems. The system-level simulator acts as a predictive engine of a digital twin framework running simulation data through a virtual representation of a complex system. In the context of this thesis, a digital twin can be defined as a virtual replica of a physical system in 3D spatial coordinates, using simula-tion data to analyse performance and to visualize resultant outcomes.

To visualize resultant outcomes, a web application is developed using Dash framework in Python. An Application Programming Interface (API) is defined for the communication between the system-level simulator and the web application. The simulator acts as a client and the web application is the server. The application is protected with Flask based authentication to ensure that only specific individuals can access the system. The application has two main components: the first for statisti-cal comparisons and the second for three-dimensional visualization. For statistical comparisons Cumulative Distribution Functions (CDFs) and histograms are utilized. Heatmap is used to visualize the data points in three dimensional coordinates.

Finally, this thesis proves the possibility of integrating the digital twin methodologies with system-level simulations. The result of this work emphasizes that digital twins can be used to improve system performance and user experience and thus offer new opportunities for the development of telecommunications. Overall, it exemplifies a promising way forward for the advancement of more powerful and resilient communication system technology.