TECHNIQUES FOR BUILDING DIGITAL TWINS OF CELLULAR NETWORKS AND FOR NAVIGATING THEREWITH

Systems and methods for building digital twins and navigating using digital twins. Reference signal and identifier data sent via antennas is obtained. Timing advance parameters for signals sent to the antennas are received. One or more machine learning models are applied to the reference signal data and timing advance parameters. Each machine learning model is trained to output antenna positions, antenna configurations, or both, and may be trained using training antenna configurations in the form of reference models representing different potential antenna configurations. Based on the outputs of the machine learning models, potential interference for devices occupying various locations within the network are determined. Navigation decisions, gaps in network coverage, or both, are determined based on the potential interference. As a result, interference by one or more devices moving within the network is reduced, thereby improving signal quality.