Area of research
Electrical and Electronic Engineering · Computer Networks and Communications
Research interest
Professor Branka Vucetic is a world-leading researcher in wireless communications and IoT systems. She has shaped the building blocks of modern wireless connectivity from 2G to 5G and beyond. Her contributions in error control coding, adaptive modulation, space–time and MIMO design, relay and network coding have guided the design of real systems to achieve reliability and efficiency. Through highly cited papers and influential textbooks that codified best practice, she translated theory into algorithms and architectures that became standard engineering tools for Wi-Fi, cellular, and satellite networks.
Wireless Human–Machine Collaboration in Industry 5.0
Performance Analysis for Reconfigurable Holographic Surface-Assisted Multi-User System
Mobility-Aware Federated Learning: Optimizing Performance With Interpretable Models and Wireless Channel Resource Allocation
Joint Channel Estimation and Positioning for RIS-Assisted Communications: An Integrated SBL and Deep Learning Framework
Energy Minimization for UAV-Enabled Covert Offloading MEC Systems
A Tchebycheff-Guided MARL-Based Channel Access in IEEE 802.11ah Networks
Label-Free Range-Based Indoor Tracking With Physics-Guided Deep State Space Model
Scalable-Predictive Beamforming for Integrated Sensing and Covert Communications: A Recurrent Graph Neural Network Approach
Graphic Deep Reinforcement Learning for Dynamic Resource Allocation in Space-Air-Ground Integrated Networks
Frozen Set Design for Precoded Polar Codes
Communication-Control Codesign for Large-Scale Wireless Networked Control Systems
Meta-Learning for Graph Neural Network-Based Power Allocation in LEO Satellite Communications
Dual-Path Beam Tracking for Service Continuity of Ultra-Reliable and Low-Latency Communications
Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control
Meta-Learning Based Indoor Localization: A Hierarchical Framework
GNN-Based Auto-Encoder for Short Linear Block Codes: A DRL Approach
The Guesswork of Ordered Statistics Decoding: Guesswork Complexity and Decoder Design
Neural OTFS Receiver Without Training Requirements
Deep Reinforcement Learning for Online Resource Allocation in Network Slicing
Secure Multi-Layer MEC Systems With UAV-Enabled Reconfigurable Intelligent Surface Against Full-Duplex Eavesdropper
Secure Deep Reinforcement Learning for Dynamic Resource Allocation in Wireless MEC Networks
Deep Learning for Wireless-Networked Systems: A Joint Estimation-Control–Scheduling Approach
Structure-Enhanced DRL for Optimal Transmission Scheduling
Graph Neural Network for Distributed Beamforming and Power Control in Massive URLLC Networks
Graphic Deep Reinforcement Learning for Dynamic Resource Allocation in Space-Air-Ground Integrated Networks
Task-Oriented Cross-System Design for Timely and Accurate Modeling in the Metaverse
A UAV-Aided Physical Layer Authentication Based on Channel Characteristics and Geographical Locations
Delay and Energy-Efficient Asynchronous Federated Learning for Intrusion Detection in Heterogeneous Industrial Internet of Things
Green Cell-Free Massive MIMO: An Optimization Embedded Deep Reinforcement Learning Approach
ToF-Based NLoS Indoor Tracking With Adaptive Ranging Error Mitigation