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Beyond 5G Artificial Intelligence Assisted Energy Efficient Open Radio Access Network

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

Webpage of the project

D1.2 will provide the website of the project in a public domain and online available.

State-of-the-art on PHY mechanisms energy consumption and specification of efficiency enhancement solutions

D3.1 provides a SoTA analysis of the different energy efficiency improvement strategies related to the developments in all WP3 tasks. Architecture of the RU offloading engine and O-RAN AAL in CU-UP are analysed and reported.

Use case identification and demonstration plan

D5.1 will collate and agree the use cases that are proposed by partners working on different WPs for inclusion in the final demonstrators and testbeds. The testbed requirements for each of the use cases will be defined. The KPIs that will be measured as part of the demonstrator activity will be defined with reference to the work in T2.1, in addition to the measurements that will be required to create the KPIs.

D1.1 Management handbook and quality plan

D1.1 contains information about the internal coordination of the consortium and the work procedures. It contains instructions on the collaboration tools as well as management responsibilities.

Data management plan

D1.3 will provide the status and strategy of the project regarding the data management and GDPR and ways to maximise access to and re-use of research data generated by actions with special emphasis in publishing Open Access (OA). This deliverable will evolve during the lifetime of the project.

BeGREEN reference architecture

D2.1 will contain a survey in current state of the art energy efficiency methodologies and achievable results in RAN in order to serve as input for T2.2. The deliverable will focus on different network architectures, energy aware control mechanisms and AI/ML enhanced mechanisms.

State-of-the-art review and initial definition of BeGREEN O-RAN intelligent plane, and AI/ML algorithms for NFV user-plane and edge service control energy efficiency optimization

D4.1 reports the outcomes of T4.1, T4.2 and T4.3 on the SotA review, and will establish the design principles of the BeGREEN intelligent plane and the AI/ML-assisted procedures to enhance energy efficiency of the network user plane functions and the edge assisted service control. An initial design of the BeGREEN intelligent plane developed in T4.1 and the AI/ML algorithms developed in T4.2 and T4.3 will also be included in this deliverable.

Interim project report

D1.4 will provide a summary of the progress of work and management aspects of period M1-M12, and M13-M25 for the Commission officer.

D6.1 Plan for exploitation and dissemination of the results

D6.1 provides the project plan on dissemination actions, the individual and joint exploitation activities, and the standardization contribution plan.

Publications

Risk-Aware Continuous Control with Neural Contextual Bandits

Auteurs: Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-Perez
Publié dans: Proceedings of the AAAI Conference on Artificial Intelligence, Numéro 38, 2024, ISSN 2374-3468
Éditeur: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/aaai.v38i19.30083

Exploiting Cell Similarities in a Radio Access Network to Enhance Explainability for Autonomic Network Management Systems

Auteurs: Joss Armstrong, Sheila Fallon, Enda Fallon
Publié dans: ICCAIS 2023, 2024
Éditeur: IEEE

Understanding the Performance and Power Saving Tradeoffs of Server Sleep States

Auteurs: Abigail Griffiths
Publié dans: IEEE CloudNet2023 conference, 2023
Éditeur: IEEE

Fair Resource Allocation in Virtualized O-RAN Platforms

Auteurs: Fatih Aslan, George Iosifidis, Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-Perez
Publié dans: Proceedings of the ACM on Measurement and Analysis of Computing Systems, Numéro 8, 2024, ISSN 2476-1249
Éditeur: Association for Computing Machinery (ACM)
DOI: 10.1145/3639043

Mean-Field Multi-Agent Contextual Bandit for Energy-Efficient Resource Allocation in vRANs

Auteurs: Jose A. Ayala-Romero, Leonardo Lo Schiavo, Andres Garcia-Saavedra, Xavier Costa-Perez
Publié dans: IEEE INFOCOM 2024 - IEEE Conference on Computer Communications, 2024
Éditeur: IEEE
DOI: 10.1109/INFOCOM52122.2024.10621197

Efficiency explored: enhancing energy evaluation in 5G networks with simulation

Auteurs: Kishan Sthankiya, Keith Briggs, Mona Jaber, Richard Clegg
Publié dans: 2023 IEEE Global Communications Conference, 2023
Éditeur: IEEE

YinYangRAN: Resource Multiplexing in GPU-Accelerated Virtualized RANs

Auteurs: Leonardo Lo Schiavo, Jose A. Ayala-Romero, Andres Garcia-Saavedra, Marco Fiore, Xavier Costa-Perez
Publié dans: IEEE INFOCOM 2024 - IEEE Conference on Computer Communications, 2024
Éditeur: IEEE
DOI: 10.1109/INFOCOM52122.2024.10621380

AI-Ready Energy Modelling for Next Generation RAN

Auteurs: Kishan Sthankiya, Keith Briggs, Mona Jaber, Richard G. Clegg
Publié dans: 2024 IEEE Wireless Communications and Networking Conference (WCNC), 2024
Éditeur: IEEE
DOI: 10.1109/WCNC57260.2024.10571134

MemorAI: Energy-Efficient Last-Level Cache Memory Optimization for Virtualized RANs

Auteurs: Ethan Sanchez Hidalgo, J. Xavier Salvat Lozano, Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xi Li, Xavier Costa-Perez
Publié dans: 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), 2024
Éditeur: IEEE
DOI: 10.1109/ICMLCN59089.2024.10624821

Dimensionality Reduction for Optimization of Radio Base Station Transmission Based on Energy Efficiency

Auteurs: Joss Armstrong, Enda Fallon
Publié dans: ITMS 2023, 2023
Éditeur: IEEE
DOI: 10.1109/ITMS59786.2023.10317744

Pre-Emptive Conflict Detection Architecture for O-RAN Service Management and Orchestration

Auteurs: Joss Armstrong, Enda Fallon, Sheila Fallon
Publié dans: 2024 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT), 2024
Éditeur: IEEE
DOI: 10.1109/IAICT62357.2024.10617647

BeGREEN: Beyond 5G Energy Efficient Networking by Hardware Acceleration and AI-Driven Management of Network Functions

Auteurs: Mir Ghoraishi, Jose Oriol Sallent, Miguel Catalan-Cid, Guillermo Bielsa, Juan-Francisco Esteban-Rivas, Vladica Sark, Jesus Gutierrez Teran, Simon Pryor
Publié dans: 2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), 2023
Éditeur: IEEE
DOI: 10.1109/EuCNC/6GSummit58263.2023.10188307

Optimizing antenna beamforming with quantum computing

Auteurs: Keith Briggs
Publié dans: EuCAP 2023, 2023
Éditeur: EuCAP

Attacking O-RAN Interfaces: Threat Modeling, Analysis and Practical Experimentation

Auteurs: Pau Baguer, Girma M. Yilma, Esteban Municio, Gines Garcia-Aviles, Andres Garcia-Saavedra, Marco Liebsch, Xavier Costa-Pérez
Publié dans: IEEE Open Journal of the Communications Society, Numéro 5, 2024, ISSN 2644-125X
Éditeur: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/OJCOMS.2024.3431681

Space and time user distribution measurements dataset in a university campus

Auteurs: Olga Ruiz, Juan Sánchez-González, Jordi Pérez-Romero, Oriol Sallent, Irene Vilà
Publié dans: Computer Networks, Numéro 243, 2024, ISSN 1389-1286
Éditeur: Elsevier BV
DOI: 10.1016/j.comnet.2024.110329

AIRIC: Orchestration of Virtualized Radio Access Networks With Noisy Neighbours

Auteurs: Josep Xavier Salvat Lozano; Andres Garcia-Saavedra; Xi Li; Xavier Costa Perez
Publié dans: Crossref, 2024, ISSN 1558-0008
Éditeur: IEEE
DOI: 10.48550/arxiv.2311.04649

Deep Learning-based Algorithm for Optimizing Relay User Equipment Activation in 5G Cellular Networks

Auteurs: J. J. Hernández-Carlón, J. Pérez-Romero, O. Sallent, I. Vilà, F. Casadevall
Publié dans: IEEE Transactions on Vehicular Technology, 2023, ISSN 1939-9359
Éditeur: IEEE
DOI: 10.1109/TVT.2023.3328057

Open Experimental Measurements of Sub-6GHz Reconfigurable Intelligent Surfaces

Auteurs: Marco Rossanese, Placido Mursia, Andres Garcia-Saavedra, Vincenzo Sciancalepore, Arash Asadi, Xavier Costa-Perez
Publié dans: IEEE Internet Computing, Numéro 28, 2024, ISSN 1089-7801
Éditeur: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/MIC.2024.3376772

A Tutorial on the Characterisation and Modelling of Low Layer Functional Splits for Flexible Radio Access Networks in 5G and Beyond

Auteurs: Jordi Pérez-Romero; Oriol Sallent; Antoni Gelonch; Xavier Gelabert; Bleron Klaiqi; Marcus Kahn; David Campoy
Publié dans: IEEE Communications Surveys and Tutorials, 2023, ISSN 1553-877X
Éditeur: IEEE
DOI: 10.1109/comst.2023.3296821

O-RAN: Analysis of Latency-critical Interfaces and Overview of Time Sensitive Networking Solutions

Auteurs: Esteban Municio, Gines Garcia-Aviles, Andres Garcia-Saavedra, Xavier Costa-Pérez
Publié dans: IEEE Communications Standards Magazine, 2023, ISSN 2471-2833
Éditeur: IEEE
DOI: 10.1109/MCOMSTD.0001.2200041

On the Design of a Network Digital Twin for the Radio Access Network in 5G and Beyond

Auteurs: Irene Vilà; Oriol Sallent; Jordi Pérez-Romero
Publié dans: Sensors, 2023, ISSN 1424-8220
Éditeur: MDPI
DOI: 10.3390/s23031197

Enabling Beyond-Visual-Line-of-Sight Drones Operation Over Open RAN 5G Networks With Slicing

Auteurs: Pau Baguer, Esteban Municio, Gines Garcia-Aviles, Xavier Costa-Pérez
Publié dans: IEEE Network, Numéro 38, 2024, ISSN 0890-8044
Éditeur: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/MNET.2024.3420085

EdgeBOL: A Bayesian Learning Approach for the Joint Orchestration of vRANs and Mobile Edge AI

Auteurs: Jose A. Ayala-Romero; Andres Garcia-Saavedra; Xavier Costa-Perez; George Iosifidis
Publié dans: Crossref, 2023
Éditeur: Zenodo
DOI: 10.5281/zenodo.7898512

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