End-to-end slicing and data-driven automation of next generation cellular networks with mobile edge clouds
The mission of SEMANTIC is to create a vibrant EU-based TRAINING and RESEARCH environment for young European and international researchers, aiming at design architectures, systems and algorithms for building the 5G and beyond cellular networks.
SEMANTIC School 1 & 2
16-19 Feb. 2021: First Project Training events took place. SEMANTIC School 1 and School 2 were held online. School 1 5G architectures, enabling technologies, vertical industries and KPIs School 2 E2E validation of 5G networks: Key analytical, prediction, simulation, and experimental tools. The presentations of Dr. Klorian Kaltenberger and Dr. Navid Nikaein on OpenAirInterface are…
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SEMANTIC offers an innovative research and training network FOR MULTI-GHZ SPECTRUM communications, MEC-EMPOWERED service provisioning and END-TO-END NETWORK SLICING, all integrated and jointly orchestrated by forward-looking DATA-DRIVEN NETWORK CONTROL AND AUTOMATION exploiting the enormous amounts of mobile BIG DATA spurred into the MOBILE DATA NETWORK. In this context, SEMANTIC will form an integrated, multi-disciplinary training network of Early Stage Researchers (ESRs), guided by experienced supervisors, aiming at the creation of highly-trained academic researchers and industrial professionals with a future-proof background on PHY design for multi-GHz communications, END-TO-END MEC/RAN INTEGRATION, SLICE-ENABLED CONNECTIVITY AND DATA-DRIVEN NETWORK ORCHESTRATION in the 5G continuum.
Telecommunications Technological Centre of Catalonia (Spain)
National and Kapodistrian University of Athens (Greece)
Chalmers University of Technology (Sweden)
Politecnico di Torino (Italy)
Iquadrat Informática S.L. (Spain)
National Instruments Dresden GmbH (Germany)
Fogus Innovations & Services (Greece)
Telenor Sverige Aktiebolag (Sweden)
Nokia Bell labs (France)
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 861165.