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
5 publications for 4 currently enrolled students
Optimizing Multi-Tier Cellular Networks With Deep Learning for 6G Consumer Electronics Communications
Hassan, Sher; Abul, Muhammad; Granelli, Fabrizio; Wang, Wei; Avelino, Sampedro; Gabriel, Henry Deeb; Abdullah, Al Hejaili; Bouazzi, Imen
in IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, v. 2024, (2024). - DOI: 10.1109/TCE.2024.3357794
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
xApp for Traffic Steering and Load Balancing in the O-RAN Architecture
Ntassah, R.; Dell'Aera, G. M.; Granelli, F.
in ICC 2023-IEEE International Conference on Communications, Piscataway, NJ USA: IEEE, 2023, p. 5259-5264. - (IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS). - ISBN: 978-1-5386-7462-8. Proceedings of: IEEE ICC 2023, Rome, Italy, 28 May – 01 June 2023. - Publication URL . - DOI: 10.1109/ICC45041.2023.10278921
