This project aims to develop digital twin-assisted, AI-based, and closed-loop optimization solutions for 5G and beyond communication systems using the NVIDIA Omniverse-based Aerial Omniverse environment for a specific target region. Within the scope of the project, real-world user density and network performance scenarios will be modeled and analyzed in a virtual environment to improve network performance, coverage, and user experience. In addition, environmental and network-based analyses will be conducted for disaster scenarios, enabling the development of drone-assisted temporary base station and emergency coverage solutions. The proposed system will provide a continuously learning AI-driven architecture and enable automatic antenna tilt and beamwidth optimization, particularly for 5G MIMO systems, through a closed-loop control mechanism.