StreamLit based web user interface for NVIDIA Sionna based 6G Physical-Layer Simulation

Abstract

This thesis presents the development of a web-based user interface for the NVIDIA Sionna-based 6G Physical-Layer Simulation, leveraging the Streamlit framework. The primary objective of this project is to create an accessible, interactive platform that facilitates easy configuration, execution, and monitoring of complex 6G physical layer simulations. The implementation of this interface utilizes the capabilities of Python, alongside integration with TensorFlow, Keras, and NVIDIA Sionna, ensuring a robust and efficient simulation environment. Key features of the application include dynamic parameter adjustment for simulations, real-time visualization of outcomes, and the ability to interactively explore the effects of different physical layer configurations on the overall system performance. Through this work, it was demonstrated that the integration of advanced simulation tools with user-friendly web interfaces could significantly enhance the understanding and accessibility of complex communication systems. The system’s performance, validated through various simulation scenarios, illustrates the effectiveness of the interface in simplifying the complexities involved in 6G physical layer simulations.