Deep Programmability and Secure Distributed Intelligence for Real-Time End-to-End 6G Networks

Risultati finali

Initial report on the intelligent and secure management, orchestration, and control

The deliverable will include the work related to: i) the e2e orchestrator, describing the architecture of the SMO and the rationale, the methodology, and the implementation of the algorithms used for service and workload orchestration across the e2e DESIRE6G platform; ii) the DLT-federation, describing the architecture and main components; iii) the multi-agent system, describing the architecture of the Agent system, the APIs and interfaces the Agent system offers; iv) the DLT-backed BHT, describing the methodology, and the Permissioned Distributed Ledger architecture; v) the rationale and the methodology of the robust, sustainable and privacy-preserving AI solutions.

Definition of Use Cases, Service Requirements and KPIs/KVIs

The deliverable will include all the work done in T2.1, implements the MS2.1 and subsequent discussions and further advance on KPIs and KVIs. The document will describe the selected use cases as a reference of the project, a list of relevant services with their requirements and KQIs and the DESIRE6G associated KPIs/KVIs obtained from a mapping of service requirements and 6G general capabilities to the project’s scope.

Preliminary experimental setup and data set collection

D5.1 reports on the testbed setup, first demo execution plan, and preliminary data set collection.

CODP Report 1

This deliverable will report the progress and achievements of WP6 based on the Dissemination & Communication plan outlined in D6.1.

Functional Architecture Definition

D2.2 will include the final specifications and a high-level description of the overall DESIRE6G architecture, considering network and service requirements and KPIs defined in D2.1, the preliminary version in MS2.2 and it will be aligned with the progress done in WP3 and WP4 and experimentation in WP5.

Initial Communication and Dissemination Plan (CODP)

The deliverable details the project’s communication, dissemination objectives, target stakeholders. Standardization activities are also covered, in which the initial standardization roadmap is introduced, including the identification of relevant standard development organizations and relevant open-source projects.

Initial report on the DESIRE6G unified programmable data plane layer

The deliverable will describe the architecture design of the unified data plane layer, the identified interfaces through other services can access, configure and customize the data plane functions, the Infrastructure Management Layer (IML) that provides a unified abstraction of the P-DP targets, the base network functions of the DESIRE6G infrastructure including the partial implementation of 6G network functions in P-DPs. The deliverable will also identify the key concepts, use cases and procedures that need to be supported by the unified programmable data plane layer of DESIRE6G: supporting multitenancy and the deployment of customized network functions, securing their isolation, offloading computations or accelerating infrastructure services, allowing customized and fine-grained pervasive monitoring over end-to-end paths across the entire DESIRE6G network domain.

Pubblicazioni

DESIRE6G: Deep Programmability & Secure Distributed Intelligence for Real-Time E2E 6G Networks

Autori: Chrysa Papagianni
Pubblicato in: European 6G Annual Journal, Numero May 2023, 50-51, 2023, ISSN 2673-2688
Editore: SNS JU
DOI: 10.5281/zenodo.10351667

P4 Telemetry Collector

Autori: Faris Alhamed; Davide Scano; Piero Castoldi; Juan Jose Vegas Olmos; Ilya Vershkov; Francesco Paolucci; Filippo Cugini
Pubblicato in: Computer Networks, Numero Volume 227, May 2023, 109727, 2023, ISSN 1389-1286
Editore: Elsevier BV
DOI: 10.1016/j.comnet.2023.109727

SLA Decomposition for Network Slicing: A Deep Neural Network Approach

Autori: Cyril Shih-Huan Hsu; Danny De Vleeschauwer; Chrysa Papagianni
Pubblicato in: IEEE Networking Letters, 2023, ISSN 2576-3156
Editore: IEEE
DOI: 10.5281/zenodo.8283411

Deep Learning-Based Adaptive Compression and Anomaly Detection for Smart B5G Use Cases Operation

Autori: Ahmad El Sayed; Marc Ruiz; Hassan Harb; Luis Velasco
Pubblicato in: Sensors 2023, Numero Volume 23; Numero 2; Pages: 1043, 2023, ISSN 1424-8220
Editore: Sensors
DOI: 10.3390/s23021043

Radio Propagation Digital Twin Aided Multi-Point Transmission With In-Network Dynamic On-Off Switching

Autori: Györgyi, Csaba; Pető, József; Vörös, Péter; Szabó, Géze; Laki, Sándor
Pubblicato in: IEEE Access, 2023, ISSN 2169-3536
Editore: IEEE
DOI: 10.1109/ACCESS.2023.3333525

P4-assisted seamless migration of serverless applications towards the edge continuum

Autori: Pelle, István; Paolucci, Francesco; Sonkoly, Balázs; Cugini, Filippo
Pubblicato in: Future Generation Computer Systems, Numero Volume 146, Numero C, 2023, ISSN 0167-739X
Editore: Elsevier BV
DOI: 10.1016/j.future.2023.04.010

P4 FANET In-band Telemetry (FINT) for AI-assisted wireless link failure forecasting and recovery

Autori: Ismail, Layal; Uomo, Domenico; Sgambelluri, Andrea; Alhamed, Faris; Paolucci, Francesco
Pubblicato in: Computer Networks, 2024, ISSN 1389-1286
Editore: Elsevier BV
DOI: 10.1016/j.comnet.2024.110599

DESIRE6G: Meeting extreme KPIs through Deep Programmability in 6G AI-Native Systems

Autori: Papagianni, Chrysa
Pubblicato in: European 6G Annual Journal, 2024, ISSN 2673-2688
Editore: SNS JU
DOI: 10.5281/zenodo.11544480

Autonomous Flow Routing for Near Real-Time Quality of Service Assurance

Autori: Barzegar, Sima; Ruiz, Marc; Velasco, Luis
Pubblicato in: IEEE Transactions on Network and Service Management, 2023, ISSN 1932-4537
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.10246061

Securing Multi-Agent Systems for Near Real-Time Control of 6G Services

Autori: Velasco, Luis; Ruiz, Marc; Gonzalez, Pol; Lefebvre, Vincent; Bernardos, Carlos; Muñiz, Alejandro
Pubblicato in: European Conference on Networks and Communications (EuCNC 2023), 2023
Editore: EuCNC2023
DOI: 10.5281/ZENODO.7893029

Augmented Reality App with AI-based Pervasive Latency Monitoring of RAN and Programmable Metro Packet-Optical Networks

Autori: Alhamed, F., Guaitolini, M., Gonzalez, P., Berozashvili, R., Ismail, L., Shakespear-Miles, H., Barzegar, S., Velasco, L., Ruiz, M., Vegas Olmos, J., Sgambelluri, A., & Paolucci, F.
Pubblicato in: ICTON, 2024
Editore: ICTON
DOI: 10.5281/zenodo.12820942

Pervasive Monitoring and Distributed Intelligence for 6G Near Real-Time Operation

Autori: Velasco, Luis; Ruiz, Marc; Gonzalez, P; Paolucci, Francesco; Sgambelluri, Andrea; Papagianni, Chrysa
Pubblicato in: European Conference on Networks and Communications (EuCNC 2023), 2023
Editore: EuCNC2023
DOI: 10.5281/zenodo.7840126

In-network Control for Flow Steering

Autori: Dimoglis, Anestis; Alhamed, Faris; Dalgkitsis, Angelos; Sgambelluri, Andrea; Paolucci, Francesco; Papagianni, Chrysa; Grosso, Paola
Pubblicato in: IEEE International Conference on Transparent Optical Networks (ICTON 2024), 2024
DOI: 10.5281/zenodo.12594198

P4-MTAGG - a Framework for Multi-Tenant P4 Network Devices

Autori: Brisch, Fabian; Kassler, Andreas; Laki, Sándor; Hudoba, Peter; Pongracz, Gergely
Pubblicato in: Würzburg Workshop on 6G Networks (WueWoWAS'24), 2024
DOI: 10.25972/OPUS-38865

Reliability in deterministic networks: Comparison of FRER (TSN) and PREOF (DetNet)

Autori: Blanco Caamaño, Marta; Contreras, Luis M.; Velázquez Martínez, Javier; López da Silva, Rafael
Pubblicato in: International Conference on Transparent Optical Networks (ICTON 2024), 2024
Editore: ICTON 2024

Effectiveness of Confidentiality-Preserving Clustering Algorithms for Soft Failure Detection in Optical Networks

Autori: Sgambelluri, Andrea
Pubblicato in: HPSR2024, 2023
DOI: 10.1109/HPSR62440.2024.10636007

Dynamic Traffic Prediction Model Retraining for Autonomous Network Operation

Autori: Tabatabaeimehr, Fatemeh; Velasco, Luis; Ruiz, Marc; Khalili, Hamzeh; Aparicio-Pardo, Ramon
Pubblicato in: International Conference on Transparent Optical Networks (ICTON 2023), 2023, ISSN 2161-2064
Editore: IEEE
DOI: 10.5281/zenodo.8190219

Deployment of Secure Machine Learning Pipelines for Near-Real-Time Control of 6G Network Services

Autori: P. Gonzalez, A. Zahir, Ch. Grasselli, A. Muñiz, M. Groshev, S. Barzegar, F. Callegati, D. Careglio, M. Ruiz, L. Velasco
Pubblicato in: Optical Fiber Communication Conference 2024 (OFC2024), European Conference on Networks and Communications (EuCNC 2024), 2024
Editore: OFC2024

Distributed Multi-Agent System fed with Telemetry Data for Near-Real-Time Service Operation

Autori: Gonzalez, Pol; Ahmed, Faris; Barzegar, Sima; Paolucci, Francesco; Vegas Olmos, Juan José; Rui, Marc; Velasco, Luis
Pubblicato in: Optical Fiber Communication Conference 2024 (OFC2024), (European Conference on Networks and Communications (EuCNC 2024), 2024
Editore: IEEE

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

Autori: Mostafa, Salwa; Mota, Mateus P.; Valcarce, Alvaro; Bennis, Mehdi
Pubblicato in: IEEE Global Communications Conference (GlobeCom 2023), 2023, ISSN 2576-6813
Editore: IEEE
DOI: 10.48550/arxiv.2401.12914

Header Proposal for the DetNet Application Layer

Autori: Blanco Caamaño, Marta; Contreras Murillo, Luis M.; López da Silva, Rafael
Pubblicato in: International Conference on Transparent Optical Networks (ICTON 2024), 2024
Editore: ICTON2024
DOI: 10.5281/zenodo.11221331

DIN: A Decentralized Inexact Newton Algorithm for Consensus Optimization

Autori: Ghalkha, Abdulmomen; Ben Issaid, Chaouki; Elgabli, Anis; Bennis, Mehdi
Pubblicato in: IEEE International Conference on Communications (ICC 2023), 2023, ISSN 1938-1883
Editore: IEEE
DOI: 10.1109/ICC45041.2023.10278721

Utilizing Hybrid P4 Solutions to Enhance 5G gNB with Data Plane Programmability

Autori: Memarian, Mohsen; Kassler, Andreas; Grinnemo, Karl-Johan; Pongracz, Gergely; Forsman, Johan
Pubblicato in: Würzburg Workshop on 6G Networks (WueWoWAS'24), 2024
DOI: 10.25972/OPUS-38902

Performance evaluation of Private and Public Blockchains for multi-cloud service federation

Autori: Zahir, Adam; Groshev, Milan; Bernardos, Carlos J.; Antevski, Kiril; Ayimba, Constantine; de la Oliva, Antonio
Pubblicato in: International Conference on Distributed Computing and Networking (ICDCN 2023), 2023, ISBN 9798400716737
Editore: Association for Computing Machinery New York, NY, United States
DOI: 10.1145/3631461.3631559

Integration of Network Slice Controller for Enhanced Intent-Based Networking in 5G/6G Networks

Autori: Muñiz Da Costa, Alejandro; Contreras Murillo, Luis M.
Pubblicato in: MobiCom 23 (MobiArch '23), 2023, ISBN 9798400703416
Editore: Association for Computing Machinery
DOI: 10.1145/3615587.3615989

Comparison of Statistical and Machine Learning-Based Approaches for Telemetry Data Size Reduction

Autori: Ruiz, Marc; El Sayed, Ahmad; Harb, Hassan; Velasco, Luis
Pubblicato in: International Conference on Transparent Optical Networks (ICTON 2023), 2023, ISSN 2161-2064
Editore: ICTON 2023
DOI: 10.5281/zenodo.7893131

In-Network Quality Control of IP Camera Streams

Autori: Laki, Sandor; Vörös, Peter; Kecskeméti, Károly; Györgyi, Csaba; Szabó, Géza
Pubblicato in: International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc 2023), 2023, ISBN 9781450399265
Editore: Association for Computing Machinery
DOI: 10.1145/3565287.3617609

Utilizing Hybrid P4 Solutions to Enhance 5G gNB with Data Plane Programmability

Autori: Mohsen Memarian, Andreas Kassler, Karl-Johan Grinnemo, Sandor Laki, Gergely Pongracz, Johan Forsman
Pubblicato in: IFIP Wireless and Mobile Networking Conference (IFIP WMNC 2024), 2024, ISSN 2473-3644
Editore: IEEE

Federated Learning Games for Reconfigurable Intelligent Surfaces via Causal Representations

Autori: Chaaya, Charbel Bou; Sumudu Samarakoon; Bennis, Mehdi
Pubblicato in: IEEE Global Communications Conference (GlobeCom 2023), 2023, ISSN 2576-6813
Editore: IEEE
DOI: 10.5281/zenodo.8296827

P4-MTAGG - a Framework for Multi-Tenant P4 Network Devices

Autori: Fabian Brisch, Andreas Kassler, Sandor Laki, Peter Hudoba
Pubblicato in: International Conference on Network and Service Management (CNSM 2024), 2024

Towards extreme network KPIs with programmability in 6G

Autori: Gergely Pongrácz; Attila Mihály; István Gódor; Sándor Laki; Anastasios Nanos; Chrysa Papagianni
Pubblicato in: International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc 2023), 2023, ISBN 9781450399265
Editore: Association for Computing Machinery
DOI: 10.1145/3565287.3617610

V2N Service Scaling with Deep Reinforcement Learning

Autori: Hsu, Cyril Shih-Huan; Martín-Pérez, Jorge; Papagianni, Chrysa; Grosso, Paola
Pubblicato in: IEEE/IFIP Network Operations and Management Symposium (NOMS 2023), 2023, ISSN 2374-9709
Editore: IEEE NOMS 2023
DOI: 10.48550/arxiv.2301.13324

Edge Orchestration Framework for AI-assisted Link Failure Forecasting and Recovery

Autori: Castoldi, Piero; Uomo, Domenico; Sgambelluri, Andrea; Cugini, Filippo; Paolucci, Francesco
Pubblicato in: HPSR2024, 2024
DOI: 10.1109/ICTON62926.2024.10647881

5GDAD: A Deep Learning Approach for DDoS Attack Detection in 5G P4-based UPF

Autori: Rana Abu Bakar; Faris Alhamed; Piero Castoldi; Andrea Sgambelluri; Juan Jose Vegas Olmos; Filippo Cugini
Pubblicato in: IEEE International Conference on High Performance Switching and Routing (HPSR 2024), 2024
Editore: IEEE

Distributed Genuine Intelligence: From Agent Integrity to Secure Inter-Agent Communications

Autori: Zahir, Adam; Groshev, Milan; Angoustures, Mark; Lefebvre, Vincent; Gonzalez, Pol; Velasco, Luis
Pubblicato in: European Conference on Networks and Communications (EuCNC2024), 2024
Editore: EuCNC2024
DOI: 10.5281/zenodo.10968422

Near Real-Time Autonomous Multi-Flow Routing with Dynamic Optical Bypass Management

Autori: S. Barzegar, H. Shakespear-Miles, F. Alhamed, F. Paolucci, P. González, M. Ruiz, L. Velasco
Pubblicato in: International Conference on Optical Network Design and Modelling (ONDM 2024), 2024
Editore: ONDM2024
DOI: 10.5281/zenodo.11476740

P4-MTAGG - a Framework for Multi-Tenant P4 Network Devices

Autori: Brisch, Fabian; Kassler, Andreas; Laki, Sándor; Hudoba, Peter
Pubblicato in: International Conference on Network and Service Management (CNSM 2024), 2024
DOI: 10.23919/CNSM62983.2024.10814635

6G KPIs - Definitions and Target Values

Autori: Mesogiti, Ioanna; Gavras, Anastasius; Trichias, Konstantinos; Kaloxylos, Alexandros; Fontes, Francisco; Charemis, Athanasios; Ghoraishi, Mir; Mollà Roselló, Marc; Yadranjee Aghdam, Parisa; Agapiou, George; Sgambelluri, Andrea; Al-Rawi, Mohammed; Marques, Carlos; Mohr, Werner
Pubblicato in: Test, Measurement, and KPIs Validation (TMV) Working Group, 2025
Editore: 6G SNS JU
DOI: 10.5281/ZENODO.14621169

European Vision for the 6G Network Ecosystem

Autori: Uusitalo, Mikko; Bernardos, Carlos Jesus; Kaloxylos, Alexandros; Bourse, Didier Arnaud; Norp, Toon; Lønsethagen, Håkon; Hecker, Artur; Rugeland, Patrik; Papagianni, Chrysa; Bulakci, Ömer; Li, Xi; Ericson, Mårten; Anton-Haro, Carles; Massod Khorsandi, Bahare; Ramos-Lopez, Aurora; Frascolla, Valerio; Marco, Gramaglia; Gavras, Anastasius; Trichias, Konstantinos
Pubblicato in: 6G-IA Vision Working Group, 2024
Editore: Zenodo
DOI: 10.5281/zenodo.14230482

Network & Service Management Advancements - Key frameworks and Interfaces towards open, Intelligent and reliable 6G networks

Autori: Tsolkas, Dimitris; Artuñedo Guillen, David; Gavras, Anastasius; Tranoris, Christos; Laki, Sándor; Skarmeta Gómez, Antonio; Barraca, João Paulo; Makropoulos, George; Vilalta, Ricard
Pubblicato in: SNS JU Reliable Software Networks Working Group, 2024
DOI: 10.5281/zenodo.14234898

Innovative Approaches for 6G Security: Challenges, Solutions, and Impact

Autori: Pérez Palma, Noelia; Skarmeta Gómez, Antonio; Bisson, Pascal
Pubblicato in: 6G-IA Security Working Group, 2025
Editore: Zenodo
DOI: 10.5281/zenodo.14619619

AI/ML as a Key Enabler of 6G Networks: Methodology, Approach and AI-Mechanisms in SNS JU

Autori: Trichias, Konstantinos; Christopoulou, Maria; Porambage, Pawani; Benzaid, Chafika; Vassiliou, Vasos; Artuñedo Guillén, David; Tsolkas, Dimitris; Avgeris, Marios; Papagianni, Chrysa; Jain, Akshay; Kilper, Daniel; Chen, Tao
Pubblicato in: SNS JU Technology Board, 2025
Editore: 6G SNS JU
DOI: 10.5281/ZENODO.14623109

Risultati finali

Pubblicazioni

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