On the Benefits of Demand-based Planning and Configuration of Private 5G Networks

Abstract

High reliability and specific, application-driven requirements are the reason for the growing importance of private 5G networks or campus networks, which can be configured and deployed in a demand-driven manner. In this work, an experiment analyzing the need for demand-based configuration and planning of such private 5G networks is presented in form of a video, where a miniature racing track including a novel 5G-powered racing platform showcase two different 5G Standalone Time Division Duplex patterns for event-driven scenarios. Also, theoretical foundations are discussed together with the results of a simulative replica of the experiment, showing the benefits of demand-based configuration. These motivate the exploration of Machine Learning-based live planning and network parameterization which we present in our vision of future racing events, where private 5G networks can serve diverse participants, well-suited to their specific demands.