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PRogrammable AI-Enabled DeterminIstiC neTworking for 6G

Descripción del proyecto

Una solución integral 6G para mejorar la fiabilidad y eficacia de la red

La tecnología de redes de quinta generación (5G) se está revisando para adaptarla a futuros casos de uso verticales. Para que este empeño sea viable, sería necesario un aumento significativo de las capacidades de latencia, seguridad, fiabilidad, energía y ancho de banda de la tecnología 5G. El objetivo del proyecto PREDICT-6G, financiado con fondos europeos, es desarrollar una solución integral de la 6G que le permita alcanzar un punto satisfactorio en el camino iniciado por la 5G. Para ello, el equipo del proyecto creará un innovador plano de datos multitecnológico y multidominio, un plano de control interdominio impulsado por inteligencia artificial y con múltiples partes, y un marco de gemelos digitales, que se complementarán entre sí para mejorar las capacidades de las redes cableadas e inalámbricas con el objetivo de ofrecer una solución de red 6G determinista.

Objetivo

6G is envisioned to accelerate the path started in 5G for catering to the needs of a wide variety of vertical use cases, both current and emerging. This will require major enhancements of the current 5G capabilities especially in terms of bandwidth, latency, reliability, security, and energy. PREDICT-6G’s mission is therefore set towards the development of an end-to-end 6G (E2E) solution including architecture and protocols that can guarantee seamless provisioning of services for vertical use cases requiring extremely tight timing and reliability constraints. To succeed, the solution will target determinism network infrastructures at large, including wired and wireless segments and their interconnections. PREDICT-6G will develop a novel Multi-technology Multi-domain Data-Plane (MDP) overhauling the reliability and time sensitiveness design features existing in current wired and wireless standards. The ambition is for the MDP design to be inherently deterministic. To achieve this, PREDICT-6G will develop an AI-driven Multi-stakeholder Inter-domain Control-Plane (AICP) for the provisioning of deterministic network paths to support time sensitive services as requested by end-customers and with different scaling ambitions, e.g. from the network in a single vehicle to a large, geographically dispersed network. This requires timely monitoring and prediction of the behavior of the complete network, including identifying potential sources of quality violations and analyzing various routes of the traffic flows. These capabilities will be delivered through the PREDICT-6G AI-powered Digital Twin (DT) framework, allowing the prediction of the behavior of the end-to-end network infrastructure, and enabling anticipative control and validation of the network provisions to meet the real-world time-sensitive and reliability requirements of the running services.

Coordinador

UNIVERSIDAD CARLOS III DE MADRID
Aportación neta de la UEn
€ 746 812,50
Dirección
CALLE MADRID 126
28903 Getafe (Madrid)
España

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Región
Comunidad de Madrid Comunidad de Madrid Madrid
Tipo de actividad
Higher or Secondary Education Establishments
Enlaces
Coste total
€ 746 812,50

Participantes (15)

Socios (1)