48 citations · 58 across the 16 of their papers we have counts for
20 papers
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…
Adaptive Unequal Error Protection for Semantic Split Learning over Wireless Channels
Vukan Ninkovic, Dejan Vukobratovic, Dragisa Miskovic +1
We propose a task-aware semantic split learning (SL) framework for wireless edge-cloud inference, in which the reliability of transmitted latent representations is dynamically adap…
A Semantic Communication Approach to Fiducial Marker Processing in 5G-Enabled Edge SLAM
Boris Radovanovic, Vukan Ninkovic, Katarina Vidojevic +2
Autonomous robots increasingly rely on edge computing to offload computationally intensive perception tasks while maintaining real-time operation over 5G networks. However, convent…
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…
End-to-End O-RAN Testbed for Edge-AI-Enabled 5G/6G Connected Industrial Robotics
Sasa Talosi, Vladimir Vincan, Srdjan Sobot +5
Connected robotics is one of the principal use cases driving the transition towards more intelligent and capable 6G mobile cellular networks. Replacing wired connections with highl…
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…
Learning Binary Autoencoder-Based Codes with Progressive Training
Vukan Ninkovic, Dejan Vukobratovic
Error correcting codes play a central role in digital communication, ensuring that transmitted information can be accurately reconstructed despite channel impairments. Recently, au…
Structured Superposition of Autoencoders for UEP Codes at Intermediate Blocklengths
Vukan Ninkovic, Dejan Vukobratovic
Unequal error protection (UEP) coding that enables differentiated reliability levels within a transmitted message is essential for modern communication systems. Autoencoder (AE)-ba…
Efficient Split Learning LSTM Models for FPGA-based Edge IoT Devices
Romina Soledad Molina, Vukan Ninkovic, Dejan Vukobratovic +2
Split Learning (SL) recently emerged as an efficient paradigm for distributed Machine Learning (ML) suitable for the Internet Of Things (IoT)-Cloud systems. However, deploying SL o…
COMSPLIT: A Communication-Aware Split Learning Design for Heterogeneous IoT Platforms
Vukan Ninkovic, Dejan Vukobratovic, Dragisa Miskovic +1
The significance of distributed learning and inference algorithms in Internet of Things (IoT) network is growing since they flexibly distribute computation load between IoT devices…
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…
Decoding Quantum LDPC Codes Using Graph Neural Networks
Vukan Ninkovic, Ognjen Kundacina, Dejan Vukobratovic +2
In this paper, we propose a novel decoding method for Quantum Low-Density Parity-Check (QLDPC) codes based on Graph Neural Networks (GNNs). Similar to the Belief Propagation (BP)-b…
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…
Rateless Autoencoder Codes: Trading off Decoding Delay and Reliability
Vukan Ninkovic, Dejan Vukobratovic, Christian Häger +2
Most of today's communication systems are designed to target reliable message recovery after receiving the entire encoded message (codeword). However, in many practical scenarios,…
Machine Learning Methods for Device Identification Using Wireless Fingerprinting
Srđan Šobot, Vukan Ninković, Dejan Vukobratović +2
Industrial Internet of Things (IoT) systems increasingly rely on wireless communication standards. In a common industrial scenario, indoor wireless IoT devices communicate with acc…
Autoencoder-Based Unequal Error Protection Codes
Vukan Ninkovic, Dejan Vukobratovic, Christian Häger +2
We present a novel autoencoder-based approach for designing codes that provide unequal error protection (UEP) capabilities. The proposed design is based on a generalization of an a…
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…
Deep Learning Based Packet Detection and Carrier Frequency Offset Estimation in IEEE 802.11ah
Vukan Ninkovic, Aleksandar Valka, Dejan Dumic +1
Wi-Fi systems based on the IEEE 802.11 standards are the most popular wireless interfaces that use Listen Before Talk (LBT) method for channel access. The distinctive feature of a…