activity
20142024
most citedCONDENSE: A Reconfigurable Knowledge Acquisition Architecture for Future 5G IoT

33 citations · 45 across the 14 of their papers we have counts for

collaborators

14 papers

quant-ph20241 cited

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…

eess.SY2024

Performance Analysis of UAV-Assisted RF-UOWC Systems

Tijana Devaja, Milica Petkovic, Marko Beko +1

This paper introduces a relay-assisted solution for downlink communications in a mixed system of Radio Frequency (RF) and Underwater Optical Wireless Communications (UOWC) technolo…

eess.SP20248 cited

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…

cs.NI20232 cited

Distributed Sensing, Computing, Communication, and Control Fabric: A Unified Service-Level Architecture for 6G

Dejan Vukobratović, Nikolaos Bartzoudis, Mona Ghassemian +8

With the advent of the multimodal immersive communication system, people can interact with each other using multiple devices for sensing, communication and/or control either onsite…

cs.NI2023

Two-Tier UAV-based Low Power Wide Area Networks: A Testbed and Experimentation Study

Srdjan Sobot, Milan Lukic, Dusan Bortnik +4

In this paper, we propose, design, deploy and demonstrate a two-tier Low Power Wide Area Network (LP WAN) system based on Unmanned Aerial Vehicle (UAV) base stations suitable for d…

cs.LG20231 cited

Scalability and Sample Efficiency Analysis of Graph Neural Networks for Power System State Estimation

Ognjen Kundacina, Gorana Gojic, Mirsad Cosovic +2

Data-driven state estimation (SE) is becoming increasingly important in modern power systems, as it allows for more efficient analysis of system behaviour using real-time measureme…