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

Deliverables

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

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

Author(s): Joss Armstrong, Sheila Fallon, Enda Fallon
Published in: ICCAIS 2023, 2024
Publisher: IEEE

Understanding the Performance and Power Saving Tradeoffs of Server Sleep States

Author(s): Abigail Griffiths
Published in: IEEE CloudNet2023 conference, 2023
Publisher: IEEE

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

Author(s): Kishan Sthankiya, Keith Briggs, Mona Jaber, Richard Clegg
Published in: 2023 IEEE Global Communications Conference, 2023
Publisher: IEEE

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

Author(s): Joss Armstrong, Enda Fallon
Published in: ITMS 2023, 2023
Publisher: IEEE
DOI: 10.1109/ITMS59786.2023.10317744

Optimizing antenna beamforming with quantum computing

Author(s): Keith Briggs
Published in: EuCAP 2023, 2023
Publisher: EuCAP

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

Author(s): J. J. Hernández-Carlón, J. Pérez-Romero, O. Sallent, I. Vilà, F. Casadevall
Published in: IEEE Transactions on Vehicular Technology, 2023, ISSN 1939-9359
Publisher: IEEE
DOI: 10.1109/TVT.2023.3328057

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

Author(s): Jordi Pérez-Romero; Oriol Sallent; Antoni Gelonch; Xavier Gelabert; Bleron Klaiqi; Marcus Kahn; David Campoy
Published in: IEEE Communications Surveys and Tutorials, 2023, ISSN 1553-877X
Publisher: IEEE
DOI: 10.1109/comst.2023.3296821

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

Author(s): Esteban Municio, Gines Garcia-Aviles, Andres Garcia-Saavedra, Xavier Costa-Pérez
Published in: IEEE Communications Standards Magazine, 2023, ISSN 2471-2833
Publisher: IEEE
DOI: 10.1109/MCOMSTD.0001.2200041

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

Author(s): Irene Vilà; Oriol Sallent; Jordi Pérez-Romero
Published in: Sensors, 2023, ISSN 1424-8220
Publisher: MDPI
DOI: 10.3390/s23031197

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

Author(s): Jose A. Ayala-Romero; Andres Garcia-Saavedra; Xavier Costa-Perez; George Iosifidis
Published in: Crossref, 2023
Publisher: Zenodo
DOI: 10.5281/zenodo.7898512

Deliverables

Publications

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