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AI-POWERED GROUND SEGMENT CONTROL FOR FLEXIBLE PAYLOADS

Objective

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.

Call for proposal

H2020-SPACE-2020
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Coordinator

GMV AEROSPACE AND DEFENCE SA
Address
Calle Isaac Newton Parque Tecnologico De Madrid
28760 Tres Cantos
Spain
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 776 523,75

Participants (6)

CENTRE TECNOLOGIC DE TELECOMUNICACIONS DE CATALUNYA
Spain
EU contribution
€ 396 400
Address
Avinguda Carl Friedrich Gauss 7 Parc Mediterrani De Tecnologia
08860 Castelldefels Barcelona
Activity type
Research Organisations
AIKO SRL
Italy
EU contribution
€ 383 087,50
Address
Via Dei Mille 22
10123 Torino
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EUTELSAT
France
EU contribution
€ 548 420
Address
32 Boulevard Gallieni
92130 Issy-les-moulineaux
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
SKYLOGIC SPA
Italy
EU contribution
€ 157 121,25
Address
Via Giuseppe Luigi Lagrange 2
10123 Torino
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
OHB SYSTEM AG
Germany
EU contribution
€ 107 337,50
Address
Universitatsallee 27-29
28359 Bremen
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
Germany
EU contribution
€ 630 600
Address
Hansastrasse 27C
80686 Munchen
Activity type
Research Organisations