Distributed Artificial Intelligence-driven open and programmable architecture for 6G networks

Informazioni relative al progetto

ADROIT6G

ID dell’accordo di sovvenzione: 101095363

DOI

10.3030/101095363

Data della firma CE 15 Novembre 2022

Data di avvio 1 Gennaio 2023

Data di completamento 30 Giugno 2026

Finanziato da

• Digital, Industry and Space

Costo totale

€ 6 385 437,50

Contributo UE

€ 5 999 998,75

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 .

Risultati finali

Documents, reports (5)

D6.2: Dissemination, communication, standardisation, exploitation, IPR, clustering - Initial

Plan for the exploitation and dissemination of results including communication activities updated by M18, and reports containing the dissemination, communication, trainings, standardisation, exploitation, and clustering activities with communities/associations. Moreover, the report will contain innovation and IPR management matters.

D2.2 System Architecture - Initial

Description of the initial architecture of the ADROIT6G project

D2.1: Requirements, use cases and system architecture - Initial

The initial version of the deliverable will provide a detailed analysis of the functional requirements from the use cases perspectives (including the definition of relevant KPIs and KVIs to be validated) and their translation into technical requirements to be used in the design of the ADROIT6G platform architecture and its components, their detailed low-level design, and the testing and verification methodology containing the definition of test reports format and benchmarking for the validation of the KPIs and KVIs to ensure compatibility as well as future re-usability.

D3.2: Distributed AI framework for CrowdSourcing AI - Initial

First release of software and AI algorithmic components of ADROIT6G implementing energy efficient automated AI orchestration, multimodal generative models for scalable monitoring and secure data distribution, CrowdSourcing AI and AI algorithms for joint resource management.

D4.1: AI-driven Management & Orchestration and Control frameworks - Initial

First release of software and AI algorithms for inter-domain slice and resource management with UE-VBS and non-terrestrial networks, multi-scale scale strategies for distributed closed loop automation, AI models, BDIx features selection and open, programmable data plane for multi-X domains.

Websites, patent fillings, videos etc. (1)

D6.1: Project website and social media presence

Project website and social media presence regularly updated.

Pubblicazioni

Peer reviewed articles (14)

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

Multi-Modal Latent Diffusion

Autori: BB. Mustapha, G. Franzese, and P. Michiardi
Pubblicato in: MDPI Entropy, 2024, ISSN 2078-2489
Editore: MDPI
DOI: 10.3390/e26040320

DIN: A Decentralized Inexact Newton Algorithm for Consensus Optimization

Autori: A. Ghalkha, C. B. Issaid, A. Elgabli and M. Bennis
Pubblicato in: IEEE Transactions on Machine Learning in Communications and Networking, 2024, ISSN 2831-316X
Editore: IEEE
DOI: 10.1109/TMLCN.2024.3400756

Quantized FedPD (QFedPD): Beyond Conventional Wisdom The Energy Benefits of Frequent Communication

Autori: Anis Elgabli, Chaouki Ben Issaid, Mohamed Badi, Mehdi Bennis
Pubblicato in: IEEE Internet of Things Journal, 2024, ISSN 2327-4662
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/JIOT.2024.3464239

SEM-O-RAN: Semantic O-RAN Slicing for Mobile Edge Offloading of Computer Vision Tasks

Autori: C. Puligheddu, J. Ashdown, C. F. Chiasserini, F. Restuccia
Pubblicato in: IEEE Transactions on Mobile Computing, 2024, ISSN 1536-1233
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TMC.2023.3339056

Intelligent QoS-aware Slice Resource Allocation with User Association Parameterization for Beyond 5G O-RAN-based Architecture Using DRL

Autori: Suvidha Mhatre, Ferran Adelantado, Kostas Ramantas, Christos Verikoukis
Pubblicato in: IEEE Transactions on Vehicular Technology, 2024, ISSN 0018-9545
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TVT.2024.3483288

A Novel Deep Hierarchical Machine Learning Approach for Identification of Known and Unknown Multiple Security Attacks in a D2D Communications Network

Autori: S. Rani, I. I. Ioannou, P. Nagaradjan, C. Christophorou, V. Vassiliou, H. Yarramsetti, S. Shridhar, L. Mukund Balaji, A. Pitsillides.
Pubblicato in: IEEE Access, 2023, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/ACCESS.2023.3308036

Content-Aware Network Traffic Prediction Framework for Quality of Service-Aware Dynamic Network Resource Management

Autori: W. A. Aziz, I. I. Ioannou, M. Lestas, H. K. Qureshi, A. Iqbal and V. Vassiliou
Pubblicato in: IEEE Access, 2023, ISSN 1536-1233
Editore: IEE
DOI: 10.1109/ACCESS.2023.3309002

Fair and Scalable Orchestration of Network and Compute Resources for Virtual Edge Services

Autori: S. Tripathi, C. Puligheddu,  S. Pramanik, A. Garcia-Saavedra, C. F. Chiasserini
Pubblicato in: IEEE Transactions on Mobile Computing, 2024, ISSN 1536-1233
Editore: IEEE
DOI: 10.1109/TMC.2023.3254999

AI/ML-aided capacity maximization strategies for URLLC in 5G/6G wireless systems: A survey

Autori: R. B. Shaik, P. Nagaradjane, I. Ioannou, V. Sittakul, V. Vasiliou, A. Pitsillides.
Pubblicato in: Computer Networks, 2024, ISSN 1389-1286
Editore: Elsevier
DOI: 10.1016/j.comnet.2024.110506

DeepRISBeam: Deep Learning-based RIS Beam Management for Radio Channel Optimization

Autori: I. Ioannou, M. Raspopoulos, P. Nagaradjane, C. Christophorou, W. A. Aziz, V. Vassiliou, A. Pitsillides.
Pubblicato in: IEEE Access, 2024, ISSN 2169-3536
Editore: IEE
DOI: 10.1109/ACCESS.2024.3411929

Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case

Autori: S. Roy, H. Chergui, C. Verikoukis
Pubblicato in: IEEE Transactions on Vehicular Technology, 2024, ISSN 0018-9545
Editore: IEEE
DOI: 10.48550/arXiv.2307.12903

BayGO: Decentralized Bayesian Learning and Information-Aware Graph Optimization Framework

Autori: T. AlShammari, C. Weeraddana and M. Bennis,
Pubblicato in: IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2024, ISSN 1536-1233
Editore: IEEE
DOI: 10.1109/TSP.2024.3387277

Digital Twin and Meta RL Empowered Fast-Adaptation of Joint User Scheduling and Task Offloading for Mobile Industrial IoT

Autori: H. Xu, J. Wu, Q. Pan, X.Liu, C. Verikoukis
Pubblicato in: IEEE Journal on Selected Areas in Communications, 2023, ISSN 1536-1233
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/JSAC.2023.3310081

Conference proceedings (19)

Balancing Energy Efficiency and Distributional Robustness in Over-the-Air Federated Learning

Autori: M. Badi, C. Ben Issaid, A. Elgabli, M. Bennis
Pubblicato in: 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), 2024, ISBN 979-8-3503-4319-9
Editore: IEEE
DOI: 10.1109/ICMLCN59089.2024.10624815

Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing

Autori: S. Roy; F. Rezazadeh; H. Chergui; C. Verikoukis
Pubblicato in: ICC 2023 - IEEE International Conference on Communications, 2023, ISSN 1938-1883
Editore: IEEE
DOI: 10.1109/ICC45041.2023.10279790

ML-Aided Dynamic Clustering and Classification of UEs as VBs in D2D Communication Networks

Autori: I. Ioannou, P. Nagaradjane, A. Khalifeh, C. Christophorou, V. Vassiliou, G. V. S. Sashank, C. Jain, A. Pitsillides
Pubblicato in: 2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET), 2023, ISBN 979-8-3503-0045-1
Editore: IEEE
DOI: 10.1109/WiSPNET57748.2023.10134336

Deep Learning-Aided Channel Estimation for Large Scale Fading Decoding in Massive MIMO Systems

Autori: Iacovos Ioannou, Prabagarane Nagaradjane, Ala' Khalifeh, R Dhivyaharshini, A Harini, Vasos Vassiliou
Pubblicato in: 2024 IEEE 30th International Conference on Telecommunications (ICT), 2024
Editore: IEEE
DOI: 10.1109/ICT62760.2024.10606029

Revolutionising IoT Network Security By Assessing ML Localisation Techniques Against Jamming Attacks

Autori: Iacovos Ioannou, Michael Savva, Marios Raspopoulos, Christophoros Christophorou, Vasos Vassiliou
Pubblicato in: 2024 22nd Mediterranean Communication and Computer Networking Conference (MedComNet), 2024
Editore: IEEE
DOI: 10.1109/MedComNet62012.2024.10578201

Communication-Efficient Second-Order Newton-Type Approach for Decentralized Learning

Autori: M. Krouka, A. Elgabli, C. B. Issaid and M. Bennis
Pubblicato in: 2023 IEEE Wireless Communications and Networking Conference (WCNC), 2023, ISSN 1558-2612
Editore: IEEE
DOI: 10.1109/WCNC55385.2023.10118646

ADROIT6G DAI-driven Open and Programmable Architecture for 6G Networks

Autori: C. Christophorou, I. Ioannou, V. Vassiliou, L. Christofi, J. S. Vardakas, E. E. Seder, C. F. Chiasserini, M. Iordache, C. Ben Issaid, I. Markopoulos, G. Franzese, T. Järvet, C. Verikoukis
Pubblicato in: 2023 IEEE Globecom Workshops (GC Wkshps), 2024, ISBN 979-8-3503-7021-8
Editore: IEEE

6G Initial Developments for Flagship Applications Experiments

Autori: CristC. Patachia; R. Mihai; M. Iordache
Pubblicato in: 2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2023, ISBN 979-8-3503-2138-8
Editore: IEEE
DOI: 10.1109/ECAI58194.2023.10194117

Performance Evaluation of Machine Learning Cluster Metrics for Mobile Network Augmentation

Autori: I. Ioannou, C. Christophorou, P. Nagaradjane, V. Vassiliou.
Pubblicato in: 2024 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET), 2024, ISBN 979-8-3503-5084-5
Editore: IEEE
DOI: 10.1109/WiSPNET61464.2024.10532825

Evaluating Localization Algorithms in IoT Networks Under Jamming Attacks

Autori: Michael Savva, Iacovos Ioannou, Vasos Vassiliou
Pubblicato in: 2024 IFIP Networking Conference (IFIP Networking), 2024
Editore: IEEE
DOI: 10.23919/IFIPNetworking62109.2024.10619065

Detecting multiple jammers using Fuzzy-Logic Intrusion Detection System (FLIDS)

Autori: Michael Savva, Iacovos Ioannou, Vasos Vassiliou
Pubblicato in: 2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), 2024
Editore: IEEE
DOI: 10.1109/DCOSS-IoT61029.2024.00062

Emergent Communication Protocol Learning for Task Offloading in Industrial Internet of Things

Autori: S. Mostafa, M. P. Mota, A.Valcarce, and M. Bennis
Pubblicato in: GLOBECOM 2023 - 2023 IEEE Global Communications Conference, 2023, ISSN 2576-6813
Editore: ΙΕΕΕ
DOI: 10.1109/GLOBECOM54140.2023.10437954

DIN: A Decentralized Inexact Newton Algorithm for Consensus Optimization

Autori: A. Ghalkha, C.Ben Issaid, A. Elgabli, and M. Bennis
Pubblicato in: ICC 2023 - IEEE International Conference on Communications, 2023, ISSN 1938-1883
Editore: IEEE
DOI: 10.1109/ICC45041.2023.10278721

Enhancing Edge Caching Efficiency: Leveraging Social and Context-Aware Popularity Rank Prediction via Transfer Learning

Autori: Waqar Ali Aziz, Iacovos Ioannou, Marios Lestas, Vasos Vassiliou
Pubblicato in: 2024 IEEE 30th International Conference on Telecommunications (ICT), 2024
Editore: IEEE
DOI: 10.1109/ICT62760.2024.10606023

Location-enabled IoT (LE-IoT): Indoor Localization for IoT Environments using Machine Learning

Autori: Tanveer Ahmad, Xue Jun Li, Muhammad Ashfaq, Michalis Savva, Iacovos Ioannou, Vasos Vassiliou
Pubblicato in: 2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), 2024
Editore: IEEE
DOI: 10.1109/DCOSS-IoT61029.2024.00065

Machine Learning Performance at the Edge: When to Offload an Inference Task

Autori: O. Chukhno, G. Singh, C. Campolo, A. Molinaro, C. F. Chiasserini
Pubblicato in: NET4us '23: Proceedings of the 2nd Workshop on Networked Sensing Systems for a Sustainable Society, 2023, ISBN 9798400703652
Editore: Association for Computing Machinery
DOI: 10.1145/3615991.3616403

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

Autori: A. Elbakary, C. Ben Issaid, M. Shehab, K. Seddik, T. ElBatt, M. Bennis
Pubblicato in: 2024 IEEE International Conference on Communications, 2024, ISSN 1938-1883
Editore: IEEE
DOI: 10.1109/ICC51166.2024.10622862

Dual-Step Transfer Learning-Based Prediction Model for Next-Generation Intelligent Cellular Networks

Autori: W. A. Aziz, I. Ioannou, M. Lestas, V. Vassiliou
Pubblicato in: 2023 IEEE International Conference on Communications Workshops (ICC Workshops), 2023, ISSN 2694-2941, ISBN 979-8-3503-0045-1
Editore: IEEE
DOI: 10.1109/ICCWorkshops57953.2023.10283745

Towards Accelerating the Network Performance on DPUs by optimising the P4 runtime

Autori: D. Iliadis-Apostolidis, K. Manaa, M. Kadosh, I. Ioannou, V. Vassiliou, S. Kosta, J. J. Vegas Olmosa; Matty Kadosh; Iacovos Ioannou; Vasos Vassiliou; Sokol Kosta; Juan Jose Vegas Olmos
Pubblicato in: 2024 32nd Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), 2024, ISSN 2377-5750
Editore: IEEE
DOI: 10.1109/PDP62718.2024.00040