Holistic, Omnipresent, Resilient Services for future 6G Wireless and Computing Ecosystems

Informations projet

HORSE

N° de convention de subvention: 101096342

DOI

10.3030/101096342

Date de signature de la CE 16 Novembre 2022

Date de début 1 Janvier 2023

Date de fin 31 Decembre 2025

Financé au titre de

• Digital, Industry and Space

Coût total

€ 5 314 850,14

Contribution de l’UE

€ 4 999 756,25

Coordonné par

CONSORZIO NAZIONALE INTERUNIVERSITARIO PER LE TELECOMUNICAZIONI
Italy

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Other (2)

First HORSE Release: HORSE IT-1 version

Delivery of the HORSE IT-1 version including all components integrated and validated in the two use cases at IT-1. Technical performance results for IT-1 are also included in this report.

HORSE AI-assisted human-centric Secure and Trustable Orchestration developed (IT-1)

Delivers a stable version of all AI-assisted human-centric Secure and Trustable Orchestration components at IT-1 ready to be integrated along with WP3 outcome in WP5.

Documents, reports (4)

HORSE Landscape: Technologies, state of the art, AI policies and requirements (IT-1)

Report on the entire HORSE context for IT-1 architectural design. An internal report is issued in M4 to feed the architectural design in T2.4.

HORSE demonstration scenario

Report describing the demonstration strategy to be deployed in HORSE along with the defined use case settings towards a successful evaluation process.

Impact creation strategy and plan

Defines the strategies and plan for the communication and dissemination activities (Task 6.1), for the liaisons and synergies (Task 6.2), for the standardisation contributions (Task 6.3) and for the exploitation efforts (Task 6.4). It is led by Task 6.1.

HORSE Architectural Design (IT-1)

Describes the HORSE architecture as designed in IT-1, ready to feed development tasks in WP3 and WP4. An internal report is issued in M6 feeding WP3 and WP4.

Publications

Conference proceedings (5)

Building the Digital Twin of a MEC node: a Data Driven Approach

Auteurs: Riccardo Fedrizzi; Arturo Bellin; Cristina Emilia Costa; Fabrizio Granelli
Publié dans: 2023 IEEE 9th International Conference on Network Softwarization (NetSoft), 2023, ISSN 2693-9789
Éditeur: IEEE
DOI: 10.1109/NetSoft57336.2023.10175423

Optimum Network Slicing for Ultra-reliable Low Latency Communication (URLLC) Services in Campus Networks

Auteurs: Iulisloi Zacarias and Francisco Carpio and André Costa Drummond and Admela Jukan
Publié dans: 2023 19th International Conference on the Design of Reliable Communication Networks (DRCN), 2023
Éditeur: IEEE
DOI: 10.1109/DRCN57075.2023.10108188

A Preliminary Study on the Power Consumption of Virtualized Edge 5G Core Networks

Auteurs: Arturo Bellin; Marco Centenaro; Fabrizio Granelli
Publié dans: 2023 IEEE 9th International Conference on Network Softwarization (NetSoft), 2023, ISSN 2693-9789
Éditeur: IEEE
DOI: 10.1109/NetSoft57336.2023.10175489

Dynamic deployment and security assessment of resilient Services over Digital Twins

Auteurs: Juan Tamboleo, Alejandro Molina Zarca, Fabrizio Granelli, Jose Manuel Manjón, Antonio Pastor, Antonio Skarmeta and Diego Lopez
Publié dans: EuCNC 2024, 2024, ISSN 2575-4912
Éditeur: IEEE
DOI: 10.1109/EuCNC/6GSummit60053.2024.10597070

A Packet Delay Emulator for High-Bandwidth and Low-Latency Traffic in 5G Networks

Auteurs: Raffaele Bolla, Roberto Bruschi, Franco Davoli, Chiara Lombardo, Alireza Mohammadpour, Ramin Rabbani
Publié dans: IEEE Globecom 2023, 2023
Éditeur: IEEE

Peer reviewed articles (7)

A differential privacy protection-based federated deep learning framework to fog-embedded architectures

Auteurs: Gutierrez, N.; Otero, B.; Rodriguez, E.; Utrera, G.; Mus, S.; Canal, R.
Publié dans: Engineering applications of artificial intelligence, 2024, ISSN 0952-1976
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.engappai.2023.107689

Leveraging Network Data Analytics Function and Machine Learning for Data Collection, Resource Optimization, Security and Privacy in 6G Networks

Auteurs: P. Gkonis, N. Nomikos, P. Trakadas, L. Sarakis, G. Xyloyris, X. Masip-Bruin, J. Martrat
Publié dans: IEEE Access, 2024, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/ACCESS.2024.3359992

Relay-Aided Uplink NOMA Under Non-Orthogonal CCI and Imperfect SIC in 6G Networks

Auteurs: Volkan Ozduran, Nikolaos Nomikos, Ehsan Soleimani-Nasab, Imran Shafique Ansari, Panagiotis Trakadas
Publié dans: IEEE Open Journal of Vehicular Technology, 2024, ISSN 2644-1330
Éditeur: IEEE
DOI: 10.1109/OJVT.2024.3392951

A Security Services Management Architecture Toward Resilient 6G Wireless and Computing Ecosystems

Auteurs: Eva Rodriguez, Xavi Masip-Bruin, Josep Martrat, Rodrigo Diaz, Admela Jukan, Fabrizio Granelli, Panagiotis Trakadas and George Xilouris
Publié dans: IEEE Access, 2024, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/ACCESS.2024.3427661

Improving Connectivity in 6G Maritime Communication Networks with UAV Swarms

Auteurs: Nikolaos Nomikos, Anastasios Giannopoulos, Alexandros Kalafatelis, Volkan Ozduran, Panagiotis Trakadas, George K Karagiannidis
Publié dans: IEEE Access, 2024, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/ACCESS.2024.3360133

Bandit-Based Learning-Aided Full-Duplex/Half-Duplex Mode Selection in 6G Cooperative Relay Networks

Auteurs: Nikolaos Nomikos; Themistoklis Charalambous; Panagiotis Trakadas; Risto Wichman
Publié dans: IEEE Open Journal of the Communications Society, 2024, ISSN 2644-125X
Éditeur: IEEE
DOI: 10.1109/ojcoms.2024.3370476

System Level Performance Assessment of Large-Scale Cell-Free Massive MIMO Orientations With Cooperative Beamforming

Auteurs: P. K. Gkonis, S. Lavdas, G. Vardoulias, P. Trakadas, L. Sarakis and K. Papadopoulos
Publié dans: IEEE Access, 2024, ISSN 2169-3536
Éditeur: IEEE
DOI: 10.1109/ACCESS.2024.3422349