end-to-end Slicing and data-drivEn autoMAtion of Next generation cellular neTworks with mobIle edge Clouds

Informazioni relative al progetto

SEMANTIC

ID dell’accordo di sovvenzione: 861165

DOI

10.3030/861165

Progetto chiuso

Data della firma CE 11 Settembre 2019

Data di avvio 1 Gennaio 2020

Data di completamento 31 Luglio 2024

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale

€ 3 917 315,52

Contributo UE

€ 3 917 315,52

Coordinato da

ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINON
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 (20)

Training activities reports - Year 2

Training activities reports Year 2

Training activities reports - Year 1

Training activities reports Year 1

Performance evaluation and experimentation

Performance evaluation and experimentation.

Dissemination, standardization, communication and public engagement plan

Dissemination, standardization, communication and public engagement plan.

SoA on integrated access/X-haul and e2e slicing

SoA on integrated accessXhaul and e2e slicing

Dissemination, standardization, communication and public engagement report - Year 4

Dissemination, standardization, communication and public engagement report - Year 4.

Future-proof NR techniques beyond 5G

Futureproof NR techniques beyond 5G

Performance evaluation of automated network control and proof-of-concept

Performance evaluation of automated network control and proof-of-concept.

Dissemination, standardization, communication and public engagement report - Year 3

Dissemination standardization communication and public engagement report Year 3

Dissemination, standardization, communication and public engagement report - Year 1

Dissemination standardization communication and public engagement report Year 1

Performance evaluation of e2e slicing and traffic steering towards IAB

Performance evaluation of e2e slicing and traffic steering towards IAB.

SoA on network control and automation tools
Dissemination, standardization, communication and public engagement report - Year 2

Dissemination standardization communication and public engagement report Year 2

Training activities reports - Year 3

Training activities reports Year 3

Performance evaluation of MEC-empowered enhancements

Performance evaluation of MEC-empowered enhancements.

MEC service-provisioning for the beyond 5G RAN

MEC serviceprovisioning for the beyond 5G RAN

SoA on MEC/RAN convergence and services

SoA on MECRAN convergence and services

Design & optimizations for integrated access/X-haul, e2e slicing and traffic steering

Design optimizations for integrated accessXhaul e2e slicing and traffic steering

Training activities reports - Year 4

Training activities reports - Year 4.

Recent trends and SoA techniques for multi-GHz radio

Recent trends and SoA techniques for multiGHz radio

Pubblicazioni

Peer reviewed articles (6)

Full-Duplex Millimeter Wave MIMO Channel Estimation: A Neural Network Approach

Autori: Mehdi Sattari, Hao Guo, Deniz Gündüz, Ashkan Panahi, Tommy Svensson
Pubblicato in: IEEE Transactions on Machine Learning in Communications and Networking, Numero 2, 2024, Pagina/e 1093-1108, ISSN 2831-316X
Editore: IEEE
DOI: 10.1109/tmlcn.2024.3432865

Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing

Autori: Roy, Swastika; Chergui, Hatim; Verikoukis, Christos
Pubblicato in: IEEE Transactions on Cognitive Communications and Networking, Numero 13/5/2024, 2024, ISSN 2332-7731
Editore: IEEE
DOI: 10.48550/arxiv.2307.09494

Machine Learning for Millimeter Wave and Terahertz Beam Management: A Survey and Open Challenges

Autori: M. Qurratulain Khan; Abdo Gaber; Philipp Schulz; Gerhard Fettweis
Pubblicato in: IEEE Access, Vol 11, Pp 11880-11902 (2023), Numero 9, 2023, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2023.3242582

Survey on Network Slicing for Internet of Things Realization in 5G Networks

Autori: Shalitha Wijethilaka, Madhusanka Liyanage
Pubblicato in: IEEE Communications Surveys & Tutorials, Numero 23, 2021, Pagina/e 957-994, ISSN 1553-877X
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/comst.2021.3067807

A Low-Complexity Machine Learning Design for mmWave Beam Prediction

Autori: Muhammad Qurratulain Khan; Abdo Gaber; Mohammad Parvini; Philipp Schulz; Gerhard Fettweis
Pubblicato in: IEEE Wireless Communications Letters, Numero 13, 2024, ISSN 2162-2345
Editore: IEEE
DOI: 10.1109/lwc.2024.3381447

Reducing Microservices Interference and Deployment Time in Resource-Constrained Cloud Systems

Autori: Madhura Adeppady, Paolo Giaccone, Holger Karl, Carla Fabiana Chiasserini
Pubblicato in: IEEE Transactions on Network and Service Management, Numero 20, 2023, Pagina/e 3135-3147, ISSN 1932-4537
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnsm.2023.3235710

Conference proceedings (16)

On the use of Probabilistic Forecasting for Network Analysis in Open RAN

Autori: Kasuluru V.; Blanco L.; Zeydan E.
Pubblicato in: IEEE International Mediterranean Conference on Communications and Networking (MeditCom), Numero September 2023, 2023
Editore: IEEE
DOI: 10.1109/MeditCom58224.2023.10266607

CeDA-BatOp 2.0: Enhanced Framework for Base Station Parameter Optimization and Automation with Joint Optimization, Controlled Drift Analysis and Pseudo-Labeling

Autori: Sudharshan Paindi Jayakumar, Alberto Conte
Pubblicato in: 2023 9th International Conference on Computer and Communications (ICCC), 2024
Editore: IEEE
DOI: 10.1109/iccc59590.2023.10507474

AIaaS for ORAN-based 6G Networks: Multi-time Scale Slice Resource Management with DRL

Autori: Mhatre, Suvidha; Adelantado, Ferran; Ramantas, Kostas; Verikoukis, Christos
Pubblicato in: IEEE International Conference on Communications, Numero 12, 2024
Editore: IEEE
DOI: 10.48550/arxiv.2311.11668

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

Autori: Roy, Swastika; Rezazadeh, Farhad; Chergui, Hatim; Verikoukis, Christos
Pubblicato in: IEEE International Conference on Communications (ICC), Numero June 2023, 2023, ISBN 978-1-5386-7462-8
Editore: IEEE
DOI: 10.1109/icc45041.2023.10279790

A Cloud Native SLA-Driven Stochastic Federated Learning Policy for 6G Zero-Touch Network Slicing

Autori: Swastika Roy; Hatim Chergui; Luis Sanabria; C. verikoukis
Pubblicato in: ICC 2022 - IEEE International Conference on Communications, Numero May 2022, 2022
Editore: IEEE
DOI: 10.1109/icc45855.2022.9838376

Minimizing Power Consumption under SINR Constraints for Cell-Free Massive MIMO in O-RAN

Autori: Vaishnavi Kasuluru, Luis Blanco, Miguel Ángel Vázquez, Cristian J. Vaca-Rubio, Engin Zeydan
Pubblicato in: In proc. of IEEE 20th International Conference on Network and Service Management (CNSM), 2024
Editore: IEEE
DOI: 10.5281/zenodo.13698547

ML-based Resolution Time Prediction of Trouble Ticket for Operational Telecommunication Network

Autori: Maryam Bandali, Jaume Rius I Riu, Andreas Lewitzki, James Gross
Pubblicato in: IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2022
Editore: IEEE
DOI: 10.5281/zenodo.13646609

RIS-Assisted Interference Mitigation for Uplink NOMA

Autori: Tabeshnezhad, Azadeh; Swindlehurst, A. Lee; Svensson, Tommy
Pubblicato in: IEEE Wireless Communications and Networking Conference (WCNC), Numero 22, 2023
Editore: IEEE
DOI: 10.1109/wcnc55385.2023.10119107

Enhancing Cloud-Native Resource Allocation with Probabilistic Forecasting Techniques in O-RAN

Autori: Vaishnavi Kasuluru, Luis Blanco, Engin Zeydan, Albert Bel, Angelos Antonopoulos
Pubblicato in: European Conference on Networks and Communications (EuCNC), Numero June 2024, 2024
Editore: IEEE
DOI: 10.1109/eucnc/6gsummit60053.2024.10597068

Resilient Base Station Parameter Optimization amidst UE Parameter Anomalies: A Strategic Zeroing-Out Approach

Autori: Sudharshan Paindi Jayakumar
Pubblicato in: 2024 5th International Conference on Electronics and Signal Processing (ICESP 2024), 2024
Editore: ICESP
DOI: 10.5281/zenodo.13628787

Towards Robust Anomaly Detection in User Equipment Parameters: A Deep Generalized Canonical Correlation Analysis approach

Autori: Sudharshan Paindi Jayakumar
Pubblicato in: 2023 International Conference on Electrical, Communication and Computer Engineering (ICECCE), 2024
Editore: IEEE
DOI: 10.1109/icecce61019.2023.10442054

Keynote Talk: Deployment and Management of Edge Microservices

Autori: Carla Fabiana Chiasserini
Pubblicato in: Proceedings of the 24th International Conference on Distributed Computing and Networking, Numero January 2023, 2024
Editore: ACM
DOI: 10.1145/3571306.3571316

Framework: Clustering-Driven Approach for Base Station Parameter Optimization and Automation (CeDA-BatOp)

Autori: Sudharshan Paindi Jayakumar, Alberto Conte
Pubblicato in: 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC), 2024
Editore: IEEE
DOI: 10.1109/ccnc51664.2024.10454773

Distributed LSTM-based Slice Resource Allocation for Beyond 5G Networks

Autori: Ali Ehsanian, Thrasyvoulos Spyropoulos
Pubblicato in: 2024 International Conference on Computing, Networking and Communications (ICNC), Numero 49, 2024, Pagina/e 868-874
Editore: IEEE
DOI: 10.1109/icnc59896.2024.10556119

On the Impact of PRB Load Uncertainty Forecasting for Sustainable Open RAN

Autori: Vaishnavi Kasuluru, Luis Blanco, Cristian J. Vaca-Rubio, Engin Zeydan
Pubblicato in: In Proc. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2024
Editore: IEEE
DOI: 10.5281/zenodo.13710117

On the Generalization of Machine Learning for mmWave Beam Prediction

Autori: Khan, Muhammad Qurratulain
Pubblicato in: 19th International Symposium on Wireless Communication Systems (ISWCS), Numero July 2024, 2024
Editore: ISWCS
DOI: 10.5281/zenodo.12805729

Other (1)

ML-based Resolution Time Prediction of Trouble Ticket for Operational Telecommunication Network

Autori: Bandali, M., Rius I Riu, J., Gross, J., Lewitzki, A., & Roy, D.
Pubblicato in: IEEE Transactions on Network and Service Management, 2024, ISSN -2024-07360
Editore: IEEE
DOI: 10.5281/zenodo.13646987