Intelligent Resource Utilization for Efficient Next-Generation Radio Access
Competition:
Competition for projects under bilateral cooperation programmes Bulgaria–China – Research Projects, 2024
Main research/thematic area of the project:
Information and Communication Technologies
Base organization:
Technical University of Sofia
Coordinator of the research team:
Prof. Vladimir Poulkov, D.Sc.
Partner organization:
University of Electronic Science and Technology of China, Chengdu, Sichuan, China
Coordinator of the partner research team:
Prof. Yue Zhao, Ph.D.
Main Goal
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.
Outcome
The expected outcome of the project is the development of scientific, applied-scientific and practical results in the field of next-generation wireless communications. The project is expected to contribute to more accurate radio environment characterization, efficient reconstruction of radio environment maps, adaptive spectrum use and improved user-oriented resource allocation in heterogeneous networks with UAV communication nodes.
The results will support the development of intelligent and self-configuring radio access networks capable of improving quality of experience, increasing throughput and providing reliable connectivity in realistic next-generation wireless scenarios. The project also aims to strengthen the bilateral scientific cooperation between Technical University of Sofia and the University of Electronic Science and Technology of China through joint research activities, seminars, working meetings and scientific publications.
Posts related to this project
TeliLab members related to this project
Publications related to this project
Fluid Antenna Systems: A DoF-Driven Paradigm for Future Multifunctional Networks
IEEE Network
A Study of the Influence of Data Normalization on 3D REM Reconstruction Methods
2026 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunication Engineering (ECTI DAMT & NCON)
Spatial 3D REM Empowered Spectrum Utilization Monitoring for Smart Factories
2025 28th International Symposium on Wireless Personal Multimedia Communications (WPMC)
Enhanced Range and Velocity Estimation in Carrier Aggregated ISAC via Lattice Pilots and Coarse-to-Fine Processing
2025 28th International Symposium on Wireless Personal Multimedia Communications (WPMC)
Movable Antennas for Terahertz Broadcast Beamforming in Hybrid-Field Scenarios
IEEE Wireless Communications Letters ( Volume: 14, Issue: 8, August 2025)