The aim of the project is to develop and investigate new methods and algorithms for intelligent resource utilization in next-generation wireless networks, with a focus on efficient radio access, dynamic spectrum use and improved network performance. The project addresses heterogeneous wireless environments, including cellular networks, ultra-dense networks and communication nodes based on unmanned aerial vehicles.

The main research tasks are related to the development of system models, radio environment maps and intelligent resource management techniques for converged wireless networks. The focus will be on:

• Defining and implementing realistic scenarios for heterogeneous wireless networks with cellular, ultra-dense and UAV-based communication nodes;
• Investigating spectrum occupancy through variations of the received signal power in two-dimensional and three-dimensional space;
• Developing artificial intelligence and machine learning-based methods for reconstruction of radio environment maps in 2D and 3D space;
• Creating propagation models and channel estimation approaches for heterogeneous network scenarios;
• Developing methods for user association with access points and UAVs based on reconstructed radio environment maps;
• Designing approaches for frequency resource allocation and interference management through dynamic self-configuration of the network;
• Integrating the developed methods and algorithms into a system-level simulation framework for evaluating the efficiency of intelligent radio resource utilization.