48 citations · 58 across the 16 of their papers we have counts for
8 papers · 1 filter
BeamGuard: Risk-Aware Multimodal Beam Forecasting and Adaptive Virtual Beamwidth Control for 6G mmWave V2I Links
Abidemi Orimogunje, Dejan Vukobratovic, Sunwoo Kim +4
Reliable beam management is a central challenge for 6G millimeter-wave (mmWave) vehicle-to-infrastructure (V2I) links, where narrow beams provide high array gain but are vulnerable…
Autonomous CSI Prediction Framework for O-RAN-Enabled 5G mmWave Vehicular Networks
Abidemi Orimogunje, Vukan Ninkovic, Nemanja Petrovic +4
Establishing and maintaining 5G mmWave vehicular connectivity poses a challenge due to high user mobility, requiring the design of robust and efficient beam switching procedures. U…
Sensing-Assisted Adaptive Beam Probing with Calibrated Multimodal Priors and Uncertainty-Aware Scheduling
Abidemi Orimogunje, Vukan Ninkovic, Ognjen Kundacina +5
Highly directional mmWave/THz links require rapid beam alignment, yet exhaustive codebook sweeps incur prohibitive training overhead. This letter proposes a sensing-assisted adapti…
Task-Oriented Wireless Transmission of 3D Point Clouds: Geometric Versus Semantic Robustness
Vukan Ninkovic, Tamara Sobot, Vladimir Vincan +3
Wireless transmission of high-dimensional 3D point clouds (PCs) is increasingly required in industrial collaborative robotics systems. Conventional compression methods prioritize g…
Autonomous Self-Trained Channel State Prediction Method for mmWave Vehicular Communications
Abidemi Orimogunje, Vukan Ninkovic, Evariste Twahirwa +2
Establishing and maintaining 5G mmWave vehicular connectivity poses a significant challenge due to high user mobility that necessitates frequent triggering of beam switching proced…
UAV-assisted Distributed Learning for Environmental Monitoring in Rural Environments
Vukan Ninkovic, Dejan Vukobratovic, Dragisa Miskovic
Distributed learning and inference algorithms have become indispensable for IoT systems, offering benefits such as workload alleviation, data privacy preservation, and reduced late…
A Weighted Autoencoder-Based Approach to Downlink NOMA Constellation Design
Vukan Ninkovic, Dejan Vukobratovic, Adriano Pastore +1
End-to-end design of communication systems using deep autoencoders (AEs) is gaining attention due to its flexibility and excellent performance. Besides single-user transmission, AE…
Preamble-Based Packet Detection in Wi-Fi: A Deep Learning Approach
Vukan Ninkovic, Dejan Vukobratovic, Aleksandar Valka +1
Wi-Fi systems based on the family of IEEE 802.11 standards that operate in unlicenced bands are the most popular wireless interfaces that use Listen Before Talk (LBT) methodology f…