Development of a System for Automatic Configuration of Base Station Parameters

This thesis presents the development of a software system for automating the generation, execution, and verification of tasks related to the adjustment of base station antenna parameters in cellular networks. The relevance of the topic is driven by the growing need for precision and efficiency in managing antenna azimuths, electrical tilts, and mechanical tilts within large-scale LTE/UMTS deployments. The system includes the software module, which combines a relational database, task classification logic, automated instruction generation, and reporting tools. It is integrated with the corporate task management system and network infrastructure interfaces. The solution automates both contractor-oriented assignment issuance and direct execution of Remote Electrical Tilt (RET) commands, including logging of outcomes. A special focus is placed on the integration of a neural network-based validation module that processes post-installation photographs. Using computer vision methods, the model automatically extracts antenna azimuth and tilt values from images and compares them with planned parameters. This reduces the need for manual verification and improves the accuracy and speed of quality control.