Intent-driven NaTive AI architecturE supporting Compute-Network abstraction and Sensing at the Deep Edge

Informazioni relative al progetto

6G-INTENSE

ID dell’accordo di sovvenzione: 101139266

DOI

10.3030/101139266

Data della firma CE 1 Dicembre 2023

Data di avvio 1 Gennaio 2024

Data di completamento 31 Dicembre 2026

Finanziato da

• Digital, Industry and Space

Costo totale

€ 4 248 308,75

Contributo UE

€ 3 999 819,75

Coordinato da

ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS
Greece

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Pubblicazioni

Peer reviewed articles (10)

RIS Phase Optimization via Generative Flow Networks

Autori: Charbel Bou Chaaya, Mehdi Bennis
Pubblicato in: IEEE Wireless Communications Letters, Numero 13, 2024, ISSN 2162-2337
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/LWC.2024.3400127

Edge-device collaborative computing for multi-view classification

Autori: Marco Palena, Tania Cerquitelli, Carla Fabiana Chiasserini
Pubblicato in: Computer Networks, Numero 254, 2024, ISSN 1389-1286
Editore: Elsevier BV
DOI: 10.1016/j.comnet.2024.110823

A Web-Based Solution for Federated Learning With LLM-Based Automation

Autori: Chamith Mawela, Chaouki Ben Issaid, Mehdi Bennis
Pubblicato in: IEEE Internet of Things Journal, Numero 12, 2025, ISSN 2327-4662
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/JIOT.2025.3542897

Intent-Based Management of Next-Generation Networks: an LLM-Centric Approach

Autori: Abdelkader Mekrache, Adlen Ksentini, Christos Verikoukis
Pubblicato in: IEEE Network, Numero 38, 2024, ISSN 0890-8044
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/MNET.2024.3420120

6G-INTENSE: Intent-Driven Native Artificial Intelligence Architecture Supporting Network-Compute Abstraction and Sensing at the Deep Edge

Autori: Akram Boutouchent, Abdelkader Mekrache, Adlen Ksentini, Gereziher Adhane, João Pedro Celestino da Fonseca, Joseph McNamara, Kostas Ramantas, Marco Palena, Marius Iordache, Renato Lo Cigno, Salwa Mostafa, Swastika Roy, Christos Verikoukis
Pubblicato in: IEEE Vehicular Technology Magazine, Numero 20, 2025, ISSN 1556-6072
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/MVT.2024.3525001

Enabling efficient collection and usage of network performance metrics at the edge

Autori: Antonio Calagna, Stefano Ravera, Carla Fabiana Chiasserini
Pubblicato in: Computer Networks, Numero 262, 2025, ISSN 1389-1286
Editore: Elsevier BV
DOI: 10.1016/J.COMNET.2025.111158

Cooperative Multi-Agent Learning for Navigation via Structured State Abstraction

Autori: Mohamed K. Abdel-Aziz, Mohammed S. Elbamby, Sumudu Samarakoon, Mehdi Bennis
Pubblicato in: IEEE Transactions on Communications, Numero 72, 2024, ISSN 0090-6778
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TCOMM.2024.3365520

Intent-Aware DRL-Based NOMA Uplink Dynamic Scheduler for IIoT

Autori: Salwa Mostafa, Mateus P. Mota, Alvaro Valcarce, Mehdi Bennis
Pubblicato in: IEEE Transactions on Cognitive Communications and Networking, 2025, ISSN 2332-7731
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TCCN.2025.3549229

On Combining XAI and LLMs for Trustworthy Zero-Touch Network and Service Management in 6G

Autori: Abdelkader Mekrache, Mohamed Mekki, Adlen Ksentini, Bouziane Brik, Christos Verikoukis
Pubblicato in: IEEE Communications Magazine, 2024, ISSN 0163-6804
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/MCOM.002.2400276

BayGO: Decentralized <b>Bay</b>esian Learning and Information-Aware <b>G</b>raph <b>O</b>ptimization Framework

Autori: Tamara AlShammari, Chathuranga Weeraddana, Mehdi Bennis
Pubblicato in: IEEE Transactions on Signal Processing, Numero 72, 2024, ISSN 1053-587X
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TSP.2024.3387277

Conference proceedings (7)

Resource-Efficient Sensor Fusion via System-Wide Dynamic Gated Neural Networks

Autori: C. Singhal, Y. Wu, F. Malandrino, S. Ladron de Guevara Contreras, M. Levorato, C. F. Chiasserini
Pubblicato in: IEEE SECON 2024, 2024
Editore: IEEE
DOI: 10.48550/arXiv.2410.16723

Towards the uncertainty quantification of AI-models in 6G networks

Autori: Irene Lidia Keramidi; Poulcheria Zervou; John Lakoumentas; Kostas Ramantas; Christos Verikoukis
Pubblicato in: 2024 IEEE 29th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2024
Editore: Zenodo
DOI: 10.5281/zenodo.14602363

Realizing Intent-driven Network Management with TM Forum Standards

Autori: João Pedro Fonseca; Gereziaher Adhane; Konstantinos Togias; Jhofre Ojeda; Swastika Roy; Golshan Famitafreshi; Kostas Ramantas; John S Vardakas; Christos Verikoukis
Pubblicato in: 2024 IEEE 29th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2024
Editore: Zenodo
DOI: 10.5281/ZENODO.14006901

LLM-enabled Intent-driven Service Configuration for Next Generation Networks

Autori: Abdelkader Mekrache, Adlen Ksentini
Pubblicato in: 2024 IEEE 10th International Conference on Network Softwarization (NetSoft), 2024, ISBN 979-8-3503-6958-8
Editore: IEEE
DOI: 10.1109/NetSoft60951.2024.10588881

Intent Profiling and Translation Through Emergent Communication

Autori: Salwa Mostafa, Mohammed S. Elbamby, Mohamed K. Abdel-Aziz, Mehdi Bennis
Pubblicato in: ICC 2024 - IEEE International Conference on Communications, 2024, ISBN 978-1-7281-9054-9
Editore: IEEE
DOI: 10.1109/ICC51166.2024.10622580

Maze Discovery using Multiple Robots via Federated Learning

Autori: Kalpana Ranasinghe, H.P. Madushanka, Rafaela Scaciota, Sumudu Samarakoon, Mehdi Bennis
Pubblicato in: 2024 IEEE Symposium on Computers and Communications (ISCC), 2024, ISBN 979-8-3503-5423-2
Editore: IEEE
DOI: 10.1109/ISCC61673.2024.10733625

Fed-Sophia: A Communication-Efficient Second-Order Federated Learning Algorithm

Autori: Ahmed Elbakary, Chaouki Ben Issaid, Mohammad Shehab, Karim Seddik, Tamer ElBatt, Mehdi Bennis
Pubblicato in: ICC 2024 - IEEE International Conference on Communications, 2024, ISBN 978-1-7281-9054-9
Editore: IEEE
DOI: 10.1109/ICC51166.2024.10622862