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

Informations projet

SCION

N° de convention de subvention: 101072375

DOI

10.3030/101072375

Date de signature de la CE 18 Juillet 2022

Date de début 1 Février 2023

Date de fin 30 Septembre 2027

Financé au titre de

• Marie Skłodowska-Curie Actions (MSCA)

Coût total

Aucune donnée

Contribution de l’UE

€ 1 828 303,20

Coordonné par

IZMIR INSTITUTE OF TECHNOLOGY
Türkiye

Periodic Reporting for period 1 - SCION (Secured and Intelligent Massive Machine-to-Machine Communications for 6G)

Période du rapport: 2023-02-01 au 2025-01-31

Résumé du contexte et des objectifs généraux du projet

The SCION project is designed to advance the next generation of wireless networks. With the rapid growth of the Internet of Things (IoT), smart cities, and industrial automation, the need for ultra-fast, secure, and intelligent machine-to-machine (M2M) communication has become paramount. SCION aims to tackle these challenges by integrating cutting-edge technologies such as semantic communication, digital twins, blockchain security and artificial intelligence (AI)-driven network optimization.


The project's primary objective is to contribute to the development of Beyond 5G and 6G networks. SCION focuses on achieving significant breakthroughs in several key areas, including energy-efficient communication, autonomous network management, and real-time decision-making using AI. By addressing scalability, security, and efficiency challenges, SCION is poised to revolutionize the telecommunications landscape and contribute to Europe's leadership in 6G research and development.

Travail effectué depuis le début du projet jusqu’à la fin de la période considérée dans le rapport et principaux résultats atteints jusqu’à présent

Throughout the project, SCION has made substantial progress across multiple technical domains. Key research efforts have focused on:
- Semantic Communication: Development of a hybrid Non-Orthogonal Multiple Access (NOMA) framework integrating DeepSC-based semantic encoding and decoding, improving spectral efficiency over traditional methods.
- Energy-Efficient M2M Networks: Integration of Dynamic Metasurface Antennas (DMA) for resource allocation, reducing power consumption significantly compared to fully digital architectures.
- AI-Driven Network Optimization: Design of lightweight AI models capable of real-time decision-making with high prediction accuracy while minimizing computational overhead.
- Autonomous Network Management: Implementation of AI-based self-healing mechanisms within Open RAN architecture, reducing network failures and improving reliability.
- Digital Twin Technologies: Development of multi-orbit satellite selection frameworks, improving data transmission rates and optimizing satellite resource allocation.
- Blockchain for Secure Communication: Creation of a decentralized and transparent blockchain framework for managing M2M transactions securely and efficiently.

Progrès au-delà de l’état des connaissances et impact potentiel prévu (y compris l’impact socio-économique et les conséquences sociétales plus larges du projet jusqu’à présent)

SCION has delivered groundbreaking advancements that go beyond existing technologies:
- Optimized Age of Information (AoI) for Real-Time Monitoring: Novel AI-based scheduling techniques ensure fresh and relevant data transmission in M2M networks, particularly beneficial for industrial automation and smart city applications.
- Quantum Computing for Network Optimization: Implementation of the Quantum Optimized Resource Allocation (QOPRA) algorithm, achieving improvement in resource allocation efficiency over conventional methods.
- Blockchain-Enhanced Cybersecurity: Introduction of a blockchain-secured task execution framework, reducing latency and energy consumption in edge computing environments.
- AI-Enhanced Fault Prediction: Development of transfer learning-based fault forecasting frameworks, significantly improving the accuracy of network anomaly detection.
- Sustainable Communication Technologies: Adoption of Simultaneous Wireless Information and Power Transfer (SWIPT) techniques to minimize power consumption while maintaining high-performance network operations.

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