Next Generation Networks
The purpose of the NGN research program is to design, analyze, and implement ideas, solutions, architectures and protocols for the Networks of the Future.
Indeed, unprecedented requirements coming from OTT services and emerging ICT paradigms (self driving cars, robot control, virtual reality) require a paradigm shift from traditional TCP/IP solutions to more flexible, intelligent and autonomous networks.
This RP addresses R&D issues at all levels (from physical to service support) related to bring networking to the future, including autonomous networking, virtualization of network and network functions, programmable networks, 5G and beyond. In particular:
NGN Architectures
cross-layer and physical layer-aware protocol design
fog and cloud network architectures
cloud-assisted mobility and networking
edge-assisted spectrum usage monitoring
5G Service Based Architecture
cell-less mobile networks
autonomous networks
URLLC architectures
quantum Internet
Next Generation Paradigms
5G and Beyond
Broadband satellite communications in EHF
Space network intelligence: toward “Space 2.0” era
network virtualization and slicing
SDR and SDN for reconfigurable networking
fast deployable networks
networking in hostile environments
autoscaling optimization in cloud platforms
Fog and mobile edge computing
AI-driven networking
Next Generation Technologies
Short-range mm-wave and TeraHz communications
Waveform design for communication systems in hostile environment
mmWave localization and location-aided network optimization
MIMO and massive MIMO
underwater communications, networks, and sensing
software defined networking and network function virtualization
Unmanned Aerial Vehicles (UAVs) networking
Interplanetary networks
Publications
7 publications for 5 currently enrolled students
An Intelligent Multi-Floor Navigational System Based on Speech, Facial Recognition and Voice Broadcasting Using Internet of Things
Ullah, M.; Li, X.; Hassan, M. A.; Ullah, F.; Muhammad, Y.; Granelli, F.; Vilcekova, L.; Sadad, T.
in SENSORS, v. 23, n. 1 (2023), p. 275. - DOI: 10.3390/s23010275
Intelligent Transportation Systems in Smart City: A Systematic Survey
Hassan, Muhammad Abul; Javed, Roofia; Farhatullah, ; Granelli, Fabrizio; Gen, Xin; Rizwan, Muhammad; Haider Ali, Syed; Junaid, Hazrat; Ullah, Sana
in The 5th International Conference on Robotics and Automation in Industry, Piscataway, NJ USA: IEEE Xplore, 2023, p. 1-9. - (INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION IN INDUSTRY). - ISBN: 978-1-6654-6472-7. Proceedings of: The 5th International Conference on Robotics and Automation in Industry, Peshawar, Pakistan, 03-05 March, 2023. - Publication URL . - DOI: 10.1109/ICRAI57502.2023.10089543
The Role of Socioeconomic Factors in Improving the Performance of Students Based on Intelligent Computational Approaches
Muhammad, Yar; Hassan, Muhammad Abul; Almotairi, Sultan; Farooq, Kawsar; Granelli, Fabrizio; Strazovska, Lubomira
in ELECTRONICS, v. 12, n. 9 (2023), p. 1982. - DOI: 10.3390/electronics12091982
ORACLE: Occlusion-Resilient and Self-Calibrating mmWave Radar Network for People Tracking
Canil, Marco; Pegoraro, Jacopo; Shastri, Anish; Casari, Paolo; Rossi, Michele
in IEEE SENSORS JOURNAL, v. 2023, (2023). - DOI: 10.1109/JSEN.2023.3339369
A Review of Millimeter Wave Device-based Localization and Device-free Sensing Technologies and Applications
Shastri, Anish; Valecha, Neharika; Bashirov, Enver; Tataria, Harsh; Lentmaier, Michael; Tufvesson, Fredrik; Rossi, Michele; Casari, Paolo
in IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, v. 2022, 24, n. 3 (2022), p. 1708-1749. - Publication URL . - DOI: 10.1109/COMST.2022.3177305
Millimeter Wave Localization with Imperfect Training Data using Shallow Neural Networks
Shastri, Anish; Palacios, Joan; Casari, Paolo
in 2022 IEEE Wireless Communications and Networking Conference (WCNC), Austin, Texas, USA: IEEE, 2022, p. 674-679. - ISBN: 978-1-6654-4266-4. Proceedings of: WCNC, Austin, Texas, USA, 10th April-13th April 2022. - DOI: 10.1109/WCNC51071.2022.9771668
mmSCALE: Self-Calibration of mmWave Radar Networks from Human Movement Trajectories
Shastri, Anish; Canil, Marco; Pegoraro, Jacopo; Casari, Paolo; Rossi, Michele
in 2022 IEEE Radar Conference, Piscataway, NJ USA: IEEE, 2022, p. 1-6. - ISBN: 978-1-7281-5368-1. Proceedings of: RadarConf, New York City, USA, 21st - 25th March 2022. - Publication URL . - DOI: 10.1109/RadarConf2248738.2022.9764173
