Descripción del proyecto
Optimización de las redes inalámbricas orientadas a servicios
Hoy en día, disponer de una conectividad inalámbrica fiable y eficaz es una necesidad para la mayoría de las empresas e industrias de una amplia gama de sectores, como la educación, las finanzas, la sanidad, el transporte, los servicios básicos, la logística, la minería y la fabricación. A medida que la demanda de servicios aumente, las redes inalámbricas actuales se enfrentarán a una serie de retos que serán casi imposibles de gestionar con eficacia. Financiado por las Acciones Marie Skłodowska-Curie, el equipo del proyecto IPOSEE propone un enfoque multidisciplinar para automatizar la optimización de las redes inalámbricas orientadas a servicios. Este enfoque implicará el desarrollo de algoritmos de inteligencia artificial que puedan anticipar los cambios en la demanda de servicios e intervenir para mejorar las redes. Además, requerirá una optimización de las redes de acceso y la prestación de un servicio de red con mayor rendimiento y fiabilidad a un coste menor.
Objetivo
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.
Ámbito científico
- 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
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technology
Palabras clave
Programa(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Régimen de financiación
HORIZON-TMA-MSCA-SE - HORIZON TMA MSCA Staff ExchangesCoordinador
751 05 Uppsala
Suecia