Innovating Works

ATRIA

Financiado
AI POWERED GROUND SEGMENT CONTROL FOR FLEXIBLE PAYLOADS
A new generation of completely flexible satellites in terms of mission definition is currently appearing in the space segment as a response to the 5G revolution, resulting in an unprecedented integration of the satellite services... A new generation of completely flexible satellites in terms of mission definition is currently appearing in the space segment as a response to the 5G revolution, resulting in an unprecedented integration of the satellite services with the terrestrial deployments. In this context, the Digital Transparent Processor (DTP) is aimed to constitute the core of these digital payload, providing them with new capabilities unthinkable to achieve with the traditional analogue ones, such as adaptive bandwidth (BW) and power allocation, or flexibility in the connectivity and coverage. As a consequence, the flexibility offered by these kind of satellites leads to the increased complexity in their management. Then, the optimum reconfiguration of these complex payloads to fulfil the users requirements is no longer an achievable task for a payload engineer due to the real-time constraints and the number of possibilities. To solve this, these satellites require new and intelligent tools capable of optimally allocating the satellite resources, while monitoring the interferences in such a dynamic scenario. In this point, Artificial Intelligence/Machine Learning (AI/ML) algorithms appear to substitute the operator decisions and manual operations while configuring the payloads. In atria project, these algorithms will compose an AI/ML module in a Payload optimization Control System (AI-PCS). The algorithms are to be trained with both real data sets of former manual operations and synthetic data. Also, the algorithms will receive information from external services to provide them with inputs regarding meteorology, traffic, availability, etc. in order to achieve the optimum decisions. AI-PCS is to be validated using both a flexible payload emulator and real satellite environments. AI-PCS is aimed to be a generic tool, transparent to the payload, providing the satcom operators with added value and turning it into a cost-effective solution for the future of the ground segment. ver más
31/03/2024
GMV AEROSPACE AND...
3M€
Duración del proyecto: 32 meses Fecha Inicio: 2021-07-22
Fecha Fin: 2024-03-31

Línea de financiación: concedida

El organismo H2020 notifico la concesión del proyecto el día 2024-03-31
Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:
SPACE-29-TEC-2020: Satellite communication technologies
Cerrada hace 4 años
Presupuesto El presupuesto total del proyecto asciende a 3M€
Líder del proyecto
GMV AEROSPACE AND DEFENCE Realizacion de estudios, ejecucion de proyectos, para aplicaciones industriales basadas en sistemas aeronauticos aeroespaciales de ingenieri...
Perfil tecnológico TRL 4-5 11M