Laboratory for Telecommunication Services

Laboratory for Telecommunication Services

The Telecommunications Services Laboratory (LTU) conducts research and development in all areas related to telecommunications networks and services. The laboratory aims to contribute to the creation of an information and communication environment in terms of advanced telecommunications solutions and modern services through its research, development and educational activities. To this end, the LTU is actively involved in the areas of network security, telecommunications network and service management, networked information systems, Internet technologies, mobile ad-hoc networks, network analysis and monitoring, network performance improvement, research in the field of network quality of service, policy-based management, autonomous management, cloud computing, network virtualization, software-defined networks, network simulation and performance assessments, optimization algorithms based on heuristics and machine learning, telecommunications services and telecommunications software engineering. The laboratory is equipped with server and supporting network devices that enable remote implementation of research and teaching activities.

Selected Publications

  • M.Mehic, M.Duliman, N.Selimovic, M.Voznak. “LoRaWAN End Nodes: Security and Energy Efficiency Analysis” Alexandria Engineering Journal (2022), doi: 10.1016/j.aej.2022.02.03 5 SCIE Impact Factor: 6.626 (2021/Q1)
  • P. Fazio, M.Mehic, M.Voznak. “Effects of sampling frequency on node mobility prediction in dynamic networks: A spectral view” Digital Communications and Networks (2023), doi: doi.org/10.1016/j.dcan.2022.05.008 SCIE Impact Factor: 6.348 (2022/Q1)
  • P. Fazio, M.Mehic, M.Voznak "A Novel Urban Mobility Classification Approach Based on Convolutional Neural Networks and Mobility-to-Image Encoding" A Novel Urban Mobility Classification Approach Based on Convolutional Neural Networks and Mobility-to-Image Encoding (2023), doi: 10.1016/j.jksuci.2023.101561, SCIE Impact Factor: 9.00 (2022/Q1)
  • P. Fazio, M.Mehic, M.Voznak, F.De Rango, & M. Tropea. "A novel predictive approach for mobility activeness in mobile wireless networks". Computer Networks, (2023), doi: 10.1016/j.comnet.2023.109689, SCIE Impact Factor: 5.493 (2022/Q1)
  • P. Fazio, M.Mehic, M.Voznak, "An innovative dynamic mobility sampling scheme based on multiresolution wavelet analysis in IoT networks". IEEE Internet of Things Journal, 9(13), pp.11336-11350. doi: 10.1109/JIOT.2021.3126550 SCIE Impact Factor: 7.9 (2022/Q1)

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