This page provides a list of outputs related to the INCOMING project. It contains the joint publications of ICONIC centre researchers and EU leading partners which are relevant for the project as well as the publications relevant for the project but produced by ICONIC centre researchers only. All publications in the list below explicitly acknowledge the support of H2020 INCOMING project.

Project Deliverables

  • Deliverable D3.4 Report on 1st Summer School: 5G Technology Fundamentals – Download Link
  • Deliverable D4.1 Yearly plan/report of 5G-IT-hub promotion activities: Year 1 – Download Link
  • Deliverable D6.1 Networking, Dissemination and Outreach Activities Including the Event List: Year 1 – Download Link
  • Journal Publications

  • M. Cosovic, M. Delalic, D. Raca, D. Vukobratovic: “Observability Analysis for Large-Scale Power Systems Using Factor Graphs,” early access, IEEE Transactions on Power Systems, DOI: 10.1109/TPWRS.2021.3057136, 2021. – Open Access Link
  • G. Mijatovic, Y. Antonacci, T. Loncar-Turukalo, L. Minati, L. Faes: “An Information-Theoretic Framework to Measure the Dynamic Interaction between Neural Spike Trains,” early access, IEEE Transactions on Biomedical Engineering, DOI: 10.1109/TBME.2021.3073833, April 2021.
  • M. Kovačević: “Signaling to Relativistic Observers: An Einstein–Shannon–Riemann Encounter,” Problems of Information Transmission, Vol. 56, No. 4, pp. 303-308, Dec. 2020.
  • D. Jakovetic, D. Bajovic, J. Xavier, J. M. F. Moura: “Primal-dual methods for large-scale and distributed convex optimization and data analytics, ” Proceedings of the IEEE, Vol. 108, No. 11, pp. 1923 – 1938, Nov. 2020. – Open Access Link
  • G. Mijatovic, T. Loncar-Turukalo, N. Bozanic, N. Milosavljevic, R. Storchi, L. Faes: “A Measure of Concurrent Neural Firing Activity Based on Mutual Information”, Neuroinformatics, Vol. 19, pp. 1-17, DOI: 10.1007/s12021-021-09515-w, April 2021.
  • M. Petkovic, A. Cvetkovic, M. Narandzic, N. Chatzidiamantis, D. Vukobratovic, G. K. Karagiannidis: “Mixed RF-VLC Relaying Systems for Interference-Sensitive Mobile Applications,” IEEE Transactions on Vehicular Technology, Vol. 69, No. 10, pp. 11099-11111, Oct 2020.
  • M. Radosavljevic, B. Brkljac, P. Lugonja, V. Crnojevic, Z. Trpovski, Z. Xiong, D. Vukobratovic: “Lossy Compression of Multi-Spectral Satellite Images with Applications to Crop Thematic Mapping: A HEVC Comparative Study,” Remote Sensing, MDPI Open Access Link, 2020.
  • I. Mezei: “Evolution of an educational microprocessor”, Computer Applications in Engineering Education, Vol. 25, No. 5, pp. 1265-1277, Aug. 2020.
  • Y. Sakai, V.Y.F. Tan, M. Kovacevic: “Second- and Third-Order Asymptotics of the Continuous-Time Poisson Channel,” IEEE Transactions on Information Theory, IEEE Xplore Link, Open Access Link, 2020.
  • M. Radosavljevic, Z. Xiong, L. Lu, D. Hohl, D. Vukobratovic: “High Bit-Depth Seismic Data Compression: A Novel Codec Under the Framework of HEVC,” IEEE Access, IEEE Xplore Open Access Link, 2020.
  • V. Vranjkovic, R. Struharik: “Hardware Acceleration of Sparse Support Vector Machines for Edge Computing,” Elektronika ir Elektrotehnika, Vol. 26, No. 3, 2020.
  • Conference Publications

  • M. Petkovic, D. Vukobratovic, A. Munari, F. Clazzer: “Relay-aided Slotted Aloha for Optical Wireless Communications,” IEEE/IET Int’l Symposium on Communication Systems, Networks and Digital Signal Processing, Porto, Portugal, June 2020. (First joint conference paper between DLR and FTN-ICONIC groups)
  • V. Ninkovic, D. Vukobratovic, A. Valka, D. Dumic: “Preamble-Based Packet Detection in Wi-Fi: A Deep Learning Approach,” IEEE Vehicular Technology Conference VTC-Fall 2020, Victoria, Canada, October 2020.
  • M. Lukic, S. Sobot, I. Mezei, D. Danilovic, D. Vukobratovic: “In-Depth Real-World Evaluation of NB-IoT Module Energy Consumption,” IEEE SmartIoT 2020, Beijing, China, Aug. 2020.
  • M. Lukic, S. Sobot, I. Mezei, D. Vukobratovic: “3GPP NB-IoT for Smart Environments: Testbed, Experimentation and Use Cases,” IEICE ICTF 2020, Nis, Serbia, Sept. 2020.
  • Demo Presentations