Descrizione del progetto
Ottimizzazione delle reti wireless orientate ai servizi
Al giorno d’oggi una connettività wireless affidabile ed efficiente rappresenta una necessità per la maggior parte delle aziende e delle industrie in un’ampia gamma di settori. Tra questi, l’istruzione, la finanza, la sanità, i trasporti, i servizi pubblici, la logistica, l’industria mineraria e la produzione. Con l’aumento della domanda di servizi, le attuali reti wireless dovranno affrontare una serie di sfide che sarà quasi impossibile gestire in maniera efficace. Finanziato dal programma di azioni Marie Skłodowska-Curie, il progetto IPOSEE propone un approccio multidisciplinare per automatizzare l’ottimizzazione delle reti wireless orientate ai servizi, sviluppando algoritmi di intelligenza artificiale in grado di anticipare i cambiamenti nella domanda di servizi e di intervenire per migliorare le reti. Inoltre, comporterà la razionalizzazione delle reti di accesso e la fornitura di servizi di rete con prestazioni e affidabilità migliori a costi inferiori.
Obiettivo
Wireless networks have become indispensable to citizens, enterprises and vertical industries, e.g. transport (including autonomous vehicles and drones), logistics, utilities and manufacturing, because wireless connectivity is essential to the digital transformation of industrial and business processes and customer experiences. As a result, wireless networks are facing increasingly diverse service requirements, which indicate that existing reactive network management will be insufficient, while intelligent and proactive control of service-centric networks becomes essential. Future intelligent wireless networks rely on several multidisciplinary breakthroughs: (i) Artificial Intelligence (AI) algorithms that can accurately predict spatial-temporal patterns of service demand and thereby drive proactive optimisation of wireless networks, (ii) reconfigurable radio access networks (RAN) and wireless environments, and (iii) automated wireless service provisioning with reduced cost, improved performance and greater reliability. Current research to automate the optimisation of service-centric wireless networks using data-driven AI is facing many open challenges that need to be urgently addressed. In this project, we will take advantage of growing data availability and advanced data science technologies, as well as AI algorithms and techniques to deliver the above identified multidisciplinary breakthroughs, thereby enabling reliable automated wireless service provisioning.
Campo scientifico
- natural sciencescomputer and information sciencesartificial intelligence
- natural sciencescomputer and information sciencesdata science
- engineering and technologymechanical engineeringvehicle engineeringautomotive engineeringautonomous vehicles
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robotsdrones
Parole chiave
Programma(i)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Meccanismo di finanziamento
HORIZON-TMA-MSCA-SE - HORIZON TMA MSCA Staff ExchangesCoordinatore
751 05 Uppsala
Svezia