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

Informations projet

SEMANTIC

N° de convention de subvention: 861165

DOI

10.3030/861165

Projet clôturé

Date de signature de la CE 11 Septembre 2019

Date de début 1 Janvier 2020

Date de fin 31 Juillet 2024

Financé au titre de

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coût total

€ 3 917 315,52

Contribution de l’UE

€ 3 917 315,52

Coordonné par

ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINON
Greece

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

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

Publications

Peer reviewed articles (6)

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

Auteurs: Mehdi Sattari, Hao Guo, Deniz Gündüz, Ashkan Panahi, Tommy Svensson
Publié dans: IEEE Transactions on Machine Learning in Communications and Networking, Numéro 2, 2024, Page(s) 1093-1108, ISSN 2831-316X
Éditeur: IEEE
DOI: 10.1109/tmlcn.2024.3432865

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

Auteurs: Roy, Swastika; Chergui, Hatim; Verikoukis, Christos
Publié dans: IEEE Transactions on Cognitive Communications and Networking, Numéro 13/5/2024, 2024, ISSN 2332-7731
Éditeur: IEEE
DOI: 10.48550/arxiv.2307.09494

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

Auteurs: M. Qurratulain Khan; Abdo Gaber; Philipp Schulz; Gerhard Fettweis
Publié dans: IEEE Access, Vol 11, Pp 11880-11902 (2023), Numéro 9, 2023, ISSN 2169-3536
Éditeur: 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

Auteurs: Shalitha Wijethilaka, Madhusanka Liyanage
Publié dans: IEEE Communications Surveys & Tutorials, Numéro 23, 2021, Page(s) 957-994, ISSN 1553-877X
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/comst.2021.3067807

A Low-Complexity Machine Learning Design for mmWave Beam Prediction

Auteurs: Muhammad Qurratulain Khan; Abdo Gaber; Mohammad Parvini; Philipp Schulz; Gerhard Fettweis
Publié dans: IEEE Wireless Communications Letters, Numéro 13, 2024, ISSN 2162-2345
Éditeur: IEEE
DOI: 10.1109/lwc.2024.3381447

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

Auteurs: Madhura Adeppady, Paolo Giaccone, Holger Karl, Carla Fabiana Chiasserini
Publié dans: IEEE Transactions on Network and Service Management, Numéro 20, 2023, Page(s) 3135-3147, ISSN 1932-4537
Éditeur: 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

Auteurs: Kasuluru V.; Blanco L.; Zeydan E.
Publié dans: IEEE International Mediterranean Conference on Communications and Networking (MeditCom), Numéro September 2023, 2023
Éditeur: 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

Auteurs: Sudharshan Paindi Jayakumar, Alberto Conte
Publié dans: 2023 9th International Conference on Computer and Communications (ICCC), 2024
Éditeur: IEEE
DOI: 10.1109/iccc59590.2023.10507474

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

Auteurs: Mhatre, Suvidha; Adelantado, Ferran; Ramantas, Kostas; Verikoukis, Christos
Publié dans: IEEE International Conference on Communications, Numéro 12, 2024
Éditeur: IEEE
DOI: 10.48550/arxiv.2311.11668

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

Auteurs: Roy, Swastika; Rezazadeh, Farhad; Chergui, Hatim; Verikoukis, Christos
Publié dans: IEEE International Conference on Communications (ICC), Numéro June 2023, 2023, ISBN 978-1-5386-7462-8
Éditeur: IEEE
DOI: 10.1109/icc45041.2023.10279790

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

Auteurs: Swastika Roy; Hatim Chergui; Luis Sanabria; C. verikoukis
Publié dans: ICC 2022 - IEEE International Conference on Communications, Numéro May 2022, 2022
Éditeur: IEEE
DOI: 10.1109/icc45855.2022.9838376

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

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

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

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

RIS-Assisted Interference Mitigation for Uplink NOMA

Auteurs: Tabeshnezhad, Azadeh; Swindlehurst, A. Lee; Svensson, Tommy
Publié dans: IEEE Wireless Communications and Networking Conference (WCNC), Numéro 22, 2023
Éditeur: IEEE
DOI: 10.1109/wcnc55385.2023.10119107

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

Auteurs: Vaishnavi Kasuluru, Luis Blanco, Engin Zeydan, Albert Bel, Angelos Antonopoulos
Publié dans: European Conference on Networks and Communications (EuCNC), Numéro June 2024, 2024
Éditeur: IEEE
DOI: 10.1109/eucnc/6gsummit60053.2024.10597068

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

Auteurs: Sudharshan Paindi Jayakumar
Publié dans: 2024 5th International Conference on Electronics and Signal Processing (ICESP 2024), 2024
Éditeur: ICESP
DOI: 10.5281/zenodo.13628787

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

Auteurs: Sudharshan Paindi Jayakumar
Publié dans: 2023 International Conference on Electrical, Communication and Computer Engineering (ICECCE), 2024
Éditeur: IEEE
DOI: 10.1109/icecce61019.2023.10442054

Keynote Talk: Deployment and Management of Edge Microservices

Auteurs: Carla Fabiana Chiasserini
Publié dans: Proceedings of the 24th International Conference on Distributed Computing and Networking, Numéro January 2023, 2024
Éditeur: ACM
DOI: 10.1145/3571306.3571316

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

Auteurs: Sudharshan Paindi Jayakumar, Alberto Conte
Publié dans: 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC), 2024
Éditeur: IEEE
DOI: 10.1109/ccnc51664.2024.10454773

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

Auteurs: Ali Ehsanian, Thrasyvoulos Spyropoulos
Publié dans: 2024 International Conference on Computing, Networking and Communications (ICNC), Numéro 49, 2024, Page(s) 868-874
Éditeur: IEEE
DOI: 10.1109/icnc59896.2024.10556119

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

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

On the Generalization of Machine Learning for mmWave Beam Prediction

Auteurs: Khan, Muhammad Qurratulain
Publié dans: 19th International Symposium on Wireless Communication Systems (ISWCS), Numéro July 2024, 2024
Éditeur: ISWCS
DOI: 10.5281/zenodo.12805729

Other (1)

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

Auteurs: Bandali, M., Rius I Riu, J., Gross, J., Lewitzki, A., & Roy, D.
Publié dans: IEEE Transactions on Network and Service Management, 2024, ISSN -2024-07360
Éditeur: IEEE
DOI: 10.5281/zenodo.13646987