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SCION

Financiado

Secured and Intelligent Massive Machine-to-Machine Communications for 6G

To satisfy the expected plethora of demanding services, 6G is envisioned as a revolutionary paradigm to carry forward the capacities of enhanced broadband, massive access, and Ultra-reliable and low latency services in 5G wireless... ver más

31/01/2027

BilimKoop Scientif...

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

S.S. BilimKoop Bilimsel Arastirma ve Gelistir... No se ha especificado una descripción o un objeto social para esta compañía.

Ver 10 Participantes

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2022-07-18

HORIZON-MSCA-2021-DN-01-01: MSCA Doctoral Networks 2021 ExpectedOutcome:

I+D

Cerrada hace 3 años

0% 100% 100%

10 Participantes

BilimKoop Scientific Researc...

219.17K€ | Lider

KTH

587.42K€ | Participante

IRIS AUTOMATION

N.D. | Participante

HWDU

260.54K€ | Participante

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Duración del proyecto: 54 meses Fecha Inicio: 2022-07-18
Fecha Fin: 2027-01-31

Líder del proyecto

S.S. BilimKoop Bilimsel Arastirma ve Gelistir... No se ha especificado una descripción o un objeto social para esta compañía.

Presupuesto del proyecto 2M€

Descripción del proyecto To satisfy the expected plethora of demanding services, 6G is envisioned as a revolutionary paradigm to carry forward the capacities of enhanced broadband, massive access, and Ultra-reliable and low latency services in 5G wireless networks to a more robust and intelligent level. This move will introduce significant new multidisciplinary research challenges emerging throughout the wireless communication protocol stacks, including the way the mobile network is modelled and deployed. The structure of 6G networks will be highly heterogeneous, densely deployed, and dynamic. Combined with the tight quality of services, such complex architecture will result in the untenability of legacy network operation routines. In response, artificial intelligence (AI), especially machine learning (ML), Semantic Communication and Digital Twin (DT) are emerging as solutions to realize the fully intelligent network orchestration and management. By learning from uncertain and dynamic environments, AI-enabled channel estimation and spectrum management will open up opportunities for bringing the excellent performance of Ultra-broadband techniques into full play. Additionally, challenges brought by Ultra-massive access concerning energy and security can be mitigated by applying AI-based approaches. The overall research objective of the SCION project is to develop and design the network systems for seamless wireless access for Secure and Intelligent Massive Machine-to-Machine Communications for 6G. In addition to technology development, to meet the urgent needs for the future working force of the coming 6G era, this collaborative project will create a training network for Doctoral Candidates who will contribute to the design and implementation of future 6G networks.

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