Network intelligence for aDAptive and sElf-Learning MObile Networks

Deliverables

Initial design of real-time control and VNF intelligence mechanisms

Initial design of NI for computeaware radio scheduling multitimescale edge resource management Reconfigurable Intelligent Surfaces RIS control and inbackhaul support for service intelligence

Final design of intelligent orchestration and management mechanisms

Final design of NI for energy-aware VNF placement,capacity forecasting, automated anomaly response, and self-learning network management and orchestration (MANO).

Refined design of intelligent orchestration and management mechanisms

Refined design of NI for energyaware VNF placementcapacity forecasting automated anomaly response and selflearning network management and orchestration MANO

Refined evaluation results and initial proof-of-concept demonstrations

Refined evaluation of NI solutions via simulation and emulationbased sandboxes prototypes and experimental proofofconcepts and largescale nationwide datasets from network operators

Refined design of real-time control and VNF intelligence mechanisms

Refined design of NI for computeaware radio scheduling multitimescale edge resource management Reconfigurable Intelligent Surfaces RIS control and inbackhaul support for service intelligence

Final DAEMON Network Intelligence framework and toolsets

Final characterization of the gaps between target NI problems and the current state-of-the-art approaches that could be adopted to address them; final design of the DAEMON NI-native architecture; final taxonomy of statistical modelling, machine learning, and hybrid approaches for the support of network functionalities; final guidelines for the design of loss-metric-aligned, self-learning and elastic NI.

Final report on communication, dissemination and exploitation and exploitation plan for after the project

Summary of the final results attained by the project in terms of dissemination and communication, standardization and open-source activities, and exploitation and innovation.

Initial DAEMON Network Intelligence framework and toolsets

First characterization of the gaps between target NI problems and the current stateoftheart approaches that could be adopted to address them first design of the DAEMON NInative architecture first taxonomy of statistical modelling machine learning and hybrid approaches for the support of network functionalities first guidelines for the design of lossmetricaligned selflearning and elastic NI

Preliminary evaluation results and plan for proof-of-concept demonstrations

Preliminary evaluation of NI solutions via simulation and emulationbased sandboxes prototypes and experimental proofofconcepts and largescale nationwide datasets from network operators

Initial design of intelligent orchestration and management mechanisms

Initial design of NI for energyaware VNF placementcapacity forecasting automated anomaly response and selflearning network management and orchestration MANO

Final design of real-time control and VNF intelligence mechanisms

Final design of NI for compute-aware radio scheduling, multi-timescale edge resource management, Reconfigurable Intelligent Surfaces (RIS) control, and in-backhaul support for service intelligence.

Report on Communication, dissemination and exploitation results and updated CoDEP for Y3

Summary of the results attained by the project in year 2 in terms of dissemination and communication standardization and opensource activities and exploitation and innovation CoDEP for year 3

Report on Communication, dissemination and exploitation results and updated CoDEP for Y2

Summary of the results attained by the project in year 1 in terms of dissemination and communication standardization and opensource activities and exploitation and innovation CoDEP for year 2

Report on initial requirements analysis and state of art frameworks and toolsets

Initial analysis of NIassisted functionalities and their functional and performance requirements initial review of standard control management and orchestration specifications and systems initial review of the spectrum of learning and optimization tools and of the emerging techniques in fundamental research on AI models that are relevant to concrete networking problems

Communication, dissemination and exploitation plan (CoDEP) for Y1

Definition of the CoDEP with a dissemination plan across three directions industrial community scientific community and other relevant projects and a communication plan to reach a wider audience and the society at large

Final evaluation results and proof-of-concept demonstrations

Final evaluation of NI solutions via simulation and emulation-based sandboxes, prototypes and experimental proof-of-concepts, and large-scale nation-wide datasets from network operators.

Publications

No-Regret Slice Reservation Algorithms

Author(s): Monteil, J.-B., Iosifidis, G., & DaSilva, L.
Published in: ICC 2021 - IEEE International Conference on Communications, 2021, ISBN 978-1-7281-7122-7
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/icc42927.2021.9500530

Fair Resource Allocation in Virtualized O-RAN Platforms

Author(s): F. Aslan, G. Iosifidis, J. A. Ayala-Romero, A. Garcia-Saavedra, X. Costa-Perez
Published in: Proceedings of the ACM on Measurement and Analysis of Computing Systems, Issue 8(1), 2024, ISSN 2476-1249
Publisher: Association for Computing Machinery
DOI: 10.1145/3639043

Defining categorical reasoning of numerical feature models with feature-wise and variant-wise quality attributes

Author(s): Munoz, Daniel-Jesus; Pinto, Monica; Gurov, Dilian; Fuentes, Lidia
Published in: SPLC '22: Proceedings of the 26th ACM International Systems and Software Product Line Conference, Issue 26, 2022, Page(s) 132–139, ISBN 978-1-4503-9443-7
Publisher: Association for Computing Machinery
DOI: 10.1145/3503229.3547057

Network Intelligence for Virtualized RAN Orchestration: The DAEMON Approach

Author(s): Gramaglia, Marco; Camelo, Miguel; Fuentes, Lidia; Ballesteros, Joaquín; Baldoni, Gabriele; Cominardi, Luca; Garcia-Saavedra, Andres; Fiore, Marco
Published in: 2022 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), Issue 2022, 2022, ISBN 978-1-6654-9871-5
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/eucnc/6gsummit54941.2022.9815816

Variability in data transformation: towards data migration product lines

Author(s): Romero Organvidez, D., Benavides, D., Horcas, J. M., & Gómez López, M. T.
Published in: VaMoS '24: Proceedings of the 18th International Working Conference on Variability Modelling of Software-Intensive Systems, Issue 18, 2024, Page(s) 83–92, ISBN 979-8-4007-0877-0
Publisher: Association for Computing Machinery
DOI: 10.1145/3634713.3634724

Spotlight on 5G: Performance, Device Evolution and Challenges from a Mobile Operator Perspective

Author(s): Paniz Parastar; Andra Lutu; Özgü Alay; Giuseppe Caso; Diego Perino
Published in: IEEE INFOCOM 2023 - IEEE Conference on Computer Communications, 2023, ISBN 979-8-3503-3414-2
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/infocom53939.2023.10229108

Quality-aware analysis and optimisation of virtual network functions

Author(s): Munoz, Daniel-Jesus; Pinto, Monica; Fuentes, Lidia
Published in: SPLC '22: Proceedings of the 26th ACM International Systems and Software Product Line Conference, Issue 26, 2022, Page(s) 210–221, ISBN 978-1-4503-9443-7
Publisher: Association for Computing Machinery
DOI: 10.1145/3546932.3547007

Online Caching with Optimistic Learning

Author(s): Mhaisen, N.; Iosifidis, G.; Leith, Douglas
Published in: Proceedings of the 2022 IFIP Networking Conference (IFIP Networking), 2022, ISBN 978-3-903176-48-5
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.23919/ifipnetworking55013.2022.9829806

A Data Flow Programming Framework for 6G-Enabled Internet of Things Applications.

Author(s): Baldoni, G., Loudet, J., Guimaraes, C., Nair, S., & Corsaro, A.
Published in: 9th IEEE World Forum on Internet of Things (IEEE WFIoT2023) (IEEE WFIoT2023), 2023
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.10025848

Despliegue Energéticamente Eficiente de Aplicaciones Distribuidas en Infraestructuras en el Borde Heterogéneas

Author(s): Angel Cañete; Alberto Rodriguez; Lidia Fuentes; Mercedes Amor
Published in: Jornadas de Ingeniería del Software y Bases de Datos (JISBD), Issue 17, 2021
Publisher: Sociedad Científica Informática de España
DOI: 10.5281/zenodo.5075287

Nuberu: a reliable DU design suitable for virtualization platforms

Author(s): Garcia-Aviles, G., Garcia-Saavedra, A., Gramaglia, M., Costa-Perez, X., Serrano, P. & Banchs, A.
Published in: MobiCom '21: Proceedings of the 27th Annual International Conference on Mobile Computing and Networking, Issue 27, 2021, Page(s) 862–864, ISBN 978-1-4503-8342-4
Publisher: Association for Computing Machinery
DOI: 10.1145/3447993.3511173

Building Realistic Experimentation Environments for AI-enhanced Management and Orchestration (MANO) of 5G and beyond V2X systems

Author(s): Nina Slamnik-Kriještorac; Miguel Camelo; Luca Cominardi; Steven Latré; Johann M. Marquez-Barja
Published in: IEEE Consumer Communications & Networking Conference 2022, Issue 11, 2021
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.5767768

Elimination of constraints for parallel analysis of feature models

Author(s): Jose-Miguel Horcas, Joaquin Ballesteros, Mónica Pinto, Lidia Fuentes
Published in: SPLC '23: Proceedings of the 27th ACM International Systems and Software Product Line Conference, Issue 27 Vol.A, 2023, Page(s) 99–110, ISBN 979-8-4007-0091-0
Publisher: Association for Computing Machinery
DOI: 10.1145/3579027.3608981

Utilising Correlation at the Edge with Deep Reinforcement Learning

Author(s): Hribar, Jernej; Shinkuma, Ryoichi; Iosifidis, George; Dusparic, Ivana
Published in: 2021 IEEE Global Communications Conference (GLOBECOM), 2022, ISBN 978-1-7281-8104-2
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/globecom46510.2021.9685166

EdgeBOL: Automating Energy-savings for Mobile Edge AI

Author(s): J. A. Ayala-Romero, A. Garcia-Saavedra, G. Iosifidis, X. Costa-Perez
Published in: ACM International Conference on emerging Networking EXperiments and Technologies, 2021
Publisher: Association for Computing Machinery
DOI: 10.5281/zenodo.5734868

Orchestration Procedures for the Network Intelligence Stratum in 6G Networks

Author(s): Chatzieleftheriou, Livia Elena; Gramaglia, Marco; Camelo, Miguel; Garcia-Saavedra, Andres; Kosmatos, Evangelos; Gucciardo, Michele; Soto, Paola; Iosifidis, George; Fuentes, Lidia; García-Aviles, Ginés; Lutu, Andra;; Baldoni, Gabriele; Fiore, Marco
Published in: 2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), 2023, Page(s) 347-352, ISBN 979-8-3503-1102-0
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/eucnc/6gsummit58263.2023.10188297

No-Regret Slice Reservation Algorithms

Author(s): Monteil, Jean-Baptiste; Iosifidis, George; DaSilva, Luiz
Published in: IEEE International Conference on Communications (ICC), Issue 8, 2021
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.4966897

Realistic Experimentation Environments for Intelligent and Distributed Management and Orchestration (MANO) in 5G and beyond

Author(s): Nina Slamnik-Kriještorac; Paola Soto; Miguel Camelo; Luca Cominardi; Steven Latré; Johann M. Marquez-Barja
Published in: IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), Issue 19, 2022, ISBN 978-1-6654-3161-3
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/ccnc49033.2022.9700659

Global mobile network aggregators: taxonomy, roaming performance and optimization

Author(s): Sergi Alcalá-Marín, Aravindh Raman, Weili Wu, Andra Lutu, Marcelo Bagnulo, Ozgu Alay, Fabian E. Bustamante
Published in: MobiSys '22: Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services, Issue 20, 2022, Page(s) 183–195, ISBN 978-1-4503-9185-6
Publisher: Association for Computing Machinery
DOI: 10.1145/3498361.3538942

Showcasing In-Switch Machine Learning Inference

Author(s): Akem Aritside; Beyza Bütün; Michele Gucciardo; Marco Fiore
Published in: 2023 IEEE 9th International Conference on Network Softwarization (NetSoft), 2023, ISBN 979-8-3503-9980-6
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/netsoft57336.2023.10175464

Requirements and Specifications for the Orchestration of Network Intelligence in 6G

Author(s): Miguel Camelo; Luca Cominardi; Marco Gramaglia; Marco Fiore; Andres Garcia-Saavedra; Lidia Fuentes; Danny De Vleeschauwer; Paola Soto; Nina Slamnik-Kriještorac; Joaquín Ballesteros; Chia-Yu Chang; Gabriele Baldoni; Johann M. Marquez-Barja; Peter Hellinckx; Steven Latré
Published in: 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), Issue 19, 2022, ISBN 978-1-6654-3161-3
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/ccnc49033.2022.9700729

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

Author(s): J. A. Ayala-Romero, L. Lo-Schiavo, A. Garcia-Saavedra, X. Costa-Perez
Published in: IEEE INFOCOM 2024, 2024
Publisher: IEEE
DOI: 10.5281/zenodo.10686512

AutoManager: a Meta-Learning Model for Network Management from Intertwined Forecasts

Author(s): Collet, Alan; Bazco-Nogueras, Antonio; Banchs, Albert; Fiore, Marco
Published in: IEEE INFOCOM 2023 - IEEE Conference on Computer Communications, Issue 2023, 2023, ISBN 979-8-3503-3414-2
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/infocom53939.2023.10229064

Network Intelligence in 6G: challenges and opportunities

Author(s): A. Banchs, M. Fiore, M. Gramaglia, A. Garcia-Saavedra
Published in: MobiArch '21: Proceedings of the 16th ACM Workshop on Mobility in the Evolving Internet Architecture, Issue 16, 2021, Page(s) Pages 7–12, ISBN 978-1-4503-4257-5
Publisher: Association for Computing Machinery
DOI: 10.5281/zenodo.5524560

Energy-Aware Scheduling of Virtualized Base Stations in O-RAN with Online Learning

Author(s): Kalntis, Michail; Iosifidis, George
Published in: GLOBECOM 2022 - 2022 IEEE Global Communications Conference, Issue 2022, 2022, ISBN 978-1-6654-3540-6
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/globecom48099.2022.10001330

Decentralised Blockchain-based Solutions for Electronic Healthcare Record with Interacting Social Networking Components

Author(s): Munoz, Daniel-Jesus; Constantinescu, Denisa-Andreea
Published in: 2021 IEEE INTERNATIONAL CONFERENCE ON INNOVATION AND INTELLIGENCE FOR INFORMATICS, COMPUTING,AND TECHNOLOGIES (3ICT 2021), Issue 8, 2021
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/3ict53449.2021.9581525

When Deep Learning May Not Be The Right Tool For Traffic Classification

Author(s): Kleidi Ismailaj; Miguel Camelo; Steven Latré
Published in: IEEE/IFIP International Workshop on Analytics for Network and Service Management, Issue 7, 2021
Publisher: International Federation for Information Processing
DOI: 10.5281/zenodo.5127129

Optimistic No-regret Algorithms for Discrete Caching

Author(s): Naram Mhaisen; Abhishek Sinha; Georgios Paschos; George Iosifidis
Published in: Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), Issue 6(3), 2022, ISSN 2476-1249
Publisher: Association for Computing Machinery
DOI: 10.1145/3570608

Forecasting for Network Management with Joint Statistical Modelling and Machine Learning

Author(s): Lo Schiavo, Leonardo; Fiore, Marco; Gramaglia, Marco; Banchs, Albert; Costa-Perez, Xavier
Published in: 2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Issue 23, 2022, ISBN 978-1-6654-0876-9
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/wowmom54355.2022.00028

Acapulco: an extensible tool for identifying optimal and consistent feature model configurations

Author(s): Martínez, Jabier; Strüber, Daniel; Horcas, Jose-Miguel; Burdusel, Alexandru; Zschaler, Steffen
Published in: SPLC '22: Proceedings of the 26th ACM International Systems and Software Product Line Conference, Issue 26 Vol.B, 2022, Page(s) 50–53, ISBN 978-1-4503-9206-8
Publisher: Association for Computing Machinery
DOI: 10.1145/3503229.3547067

Nuberu: Reliable RAN Virtualization in Shared Platforms

Author(s): Garcia-Aviles, Gines; Garcia-Saavedra, Andres; Gramaglia, Marco; Costa-Perez, Xavier; Serrano, Pablo; Banchs, Albert
Published in: Annual International Conference On Mobile Computing And Networking (ACM MobiCom 2021), Issue 27, 2021
Publisher: Association for Computing Machinery
DOI: 10.5281/zenodo.5599123

CloudRIC: Open Radio Access Network (O-RAN) Virtualization with Shared Heterogeneous Computing

Author(s): L. Lo Schiavo, G. Garcia-Aviles, A. Garcia-Saavedra, M. Gramaglia, M. Fiore, A. Banchs, X. Costa-Perez
Published in: ACM MobiCom '24: Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024, Page(s) 558-572, ISBN 979-8-4007-0489-5
Publisher: Association for Computing Machinery
DOI: 10.1145/3636534.3649381

Resource Allocation of Multi-user Workloads in Cloud and Edge Data-Centers Using Reinforcement Learning

Author(s): Julian Jimenez, Paola Soto, Danny De Vleeschauwer, Chia-Yu Chang, Yorick De Bock, Steven Latre, Miguel Camelo
Published in: 19th International Conference on Network and Service Management, Issue 19, 2023
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.10007880

Enabling Long-term Fairness in Dynamic Resource Allocation

Author(s): Tareq Si Salem; Georgios Iosifidis; Giovanni Neglia
Published in: Proceedings of the ACM on Measurement and Analysis of Computing Systems, Issue 6(3), 2022, Page(s) 1-36, ISSN 2476-1249
Publisher: Association for Computing Machinery
DOI: 10.1145/3570606

CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting

Author(s): Chaoyun Zhang; Marco Fiore; Iain Murray; Paul Patras
Published in: Thirty-Fifth AAAI Conference on Artificial Intelligence, Issue 8, 2021
Publisher: IEEE
DOI: 10.5281/zenodo.5524838

kaNSaaS: Combining Deep Learning and Optimization for Practical Overbooking of Network Slices

Author(s): Alcalá-Marín, Sergi; Bazco Nogueras, Antonio; BANCHS, ALBERT; Fiore, Marco
Published in: MobiHoc '23: Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Issue 24, 2023, Page(s) 51–60, ISBN 978-1-4503-9926-5
Publisher: Association for Computing Machinery
DOI: 10.1145/3565287.3610265

Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks

Author(s): Paul Almasan; Krzysztof Rusek; Shihan Xiao; Xiang Shi; Xiangle Cheng; Albert Cabellos-Aparicio; Pere Barlet-Ros
Published in: GNNet '23: Proceedings of the 2nd on Graph Neural Networking Workshop 2023, Issue 2, 2023, Page(s) 1–6, ISBN 979-8-4007-0448-2
Publisher: Association for Computing Machinery
DOI: 10.1145/3630049.3630170

Towards Autonomous VNF Auto-scaling using Deep Reinforcement Learning

Author(s): Paola Soto; Danny De Vleeschauwer; Miguel Camelo; Yorick De Bock; Koen De Schepper; Chia-Yu Chang; Peter Hellinckx; Juan F. Botero; Steven Latré
Published in: The Eighth International Conference on Software Defined Systems (SDS-2021), Issue 16, 2021
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.5767618

Designing, Building, and Characterizing RF Switch-based Reconfigurable Intelligent Surfaces

Author(s): M. Rossanese, P. Mursia, A. Garcia-Saavedra, V. Sciancalepore, A. Asadi, X. Costa-Perez
Published in: WiNTECH '22: Proceedings of the 16th ACM Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization, Issue 16, 2022, Page(s) 69–76, ISBN 978-1-4503-9527-4
Publisher: Association for Computing Machinery
DOI: 10.1145/3556564.3558236

Facilitating distributed data-flow programming with Eclipse Zenoh: the ERDOS case

Author(s): Baldoni, Gabriele; Loudet, Julien; Cominardi, Luca; Corsaro, Angelo; He, Yong
Published in: MobileServerless'21: Proceedings of the 1st Workshop on Serverless mobile networking for 6G Communications, Issue 1, 2021, Page(s) 13–18, ISBN 978-1-4503-8603-6
Publisher: Association for Computing Machinery
DOI: 10.1145/3469263.3469858

Detecting Contextual Network Anomalies with Graph Neural Networks

Author(s): Hamid Latif; José Suárez-Varela; Albert Cabellos-Aparicio; Pere Barlet-Ros
Published in: GNNet '23: Proceedings of the 2nd on Graph Neural Networking Workshop 2023, Issue 2, 2023, Page(s) 25–30, ISBN 979-8-4007-0448-2
Publisher: Association for Computing Machinery
DOI: 10.1145/3630049.3630171

Zenoh-based Dataflow Framework for Autonomous Vehicles

Author(s): Baldoni, Gabriele; Loudet, Julien; Cominardi, Luca; Corsaro, Angelo; He, Yong
Published in: IEEE International Symposium on Autonomous Vehicle Software (AVS 2021) (IEEE QRS 2021 AVS), Hainan Island, China, December 6-10, 2021, Issue 2, 2021
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.5734287

Energy-aware placement of network functions in edge-based infrastructures with Open Source MANO and Kubernetes

Author(s): Cañete, Ángel; Rodríguez, Alberto; Amor, Mercedes; Fuentes, Lidia
Published in: Service-Oriented Computing – ICSOC 2022 Workshops. ICSOC 2022. Lecture Notes in Computer Science., Issue 13821, 2023, Page(s) 183-195, ISBN 978-3-031-26506-8
Publisher: Springer
DOI: 10.1007/978-3-031-26507-5_15

Henna: hierarchical machine learning inference in programmable switches

Author(s): Akem Aristide Tanyi-Jong; Beyza Bütün; Michele Gucciardo; Marco Fiore
Published in: NativeNi '22: Proceedings of the 1st International Workshop on Native Network Intelligence. CoNEXT '22: The 18th International Conference on emerging Networking EXperiments and Technologies, Issue 1, 2022, Page(s) 1–7, ISBN 978-1-4503-9887-9
Publisher: Association for Computing Machinery
DOI: 10.1145/3565009.3569520

YinYangRAN: Resource Multiplexing in GPU-Accelerated Virtualized RANs

Author(s): Lo Schiavo, L., Ayala-Romero, J., Garcia-Saavedra, A., Fiore, M., & Costa-Perez, X.
Published in: IEEE INFOCOM 2024, 2024
Publisher: IEEE
DOI: 10.5281/zenodo.10686545

Spotting Deep Neural Network Vulnerabilities in Mobile Traffic Forecasting with an Explainable AI Lens

Author(s): Moghadas Gholian, Serly; Fiandrino, Claudio; Collet, Alan; Attanasio, Giulia; Fiore, Marco; Widmer, Joerg
Published in: IEEE INFOCOM 2023 - IEEE Conference on Computer Communications, 2023, ISBN 979-8-3503-3414-2
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/infocom53939.2023.10228989

Enhancing 5G Radio Planning with Graph Representations and Deep Learning

Author(s): Paul Almasan; José Suárez-Varela; Andra Lutu; Albert Cabellos-Aparicio; Pere Barlet-Ros
Published in: 5G-MeMU '23: Proceedings of the 3rd ACM Workshop on 5G and Beyond Network Measurements, Modeling, and Use Cases, Issue 3, 2023, Page(s) 14–20, ISBN 979-8-4007-0301-0
Publisher: Association for Computing Machinery
DOI: 10.1145/3609382.3610509

Demonstrating a Bayesian Online Learning for Energy-Aware Resource Orchestration in vRANs

Author(s): Ayala-Romero, Jose; Garcia-Saavedra, Andres; Costa-Perez, Xavier; Iosifidis, George
Published in: IEEE International Conference on Computer Communications (INFOCOM), 2021
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.4966737

Insights from Operating an IP Exchage Provider

Author(s): Lutu, Andra; Perino, Diego; Bagnulo, Marcelo; Bustamante, Fabián E.
Published in: Proceedings of the 2021 ACM SIGCOMM 2021 Conference, Issue 32, 2021, ISBN 978-1-4503-8383-7
Publisher: Association for Computing Machinery
DOI: 10.5281/zenodo.5722464

Development and Evolution of Software Product Lines Driven by Stakeholder Beliefs

Author(s): Lola Burgueño, Jose-Miguel Horcas, Jörg Kienzle
Published in: SPLC '23: Proceedings of the 27th ACM International Systems and Software Product Line Conference, Issue 27 Vol.A, 2023, Page(s) 34–40, ISBN 979-8-4007-0091-0
Publisher: Association for Computing Machinery
DOI: 10.1145/3579027.3608975

Applying QoS in FaaS applications: a Software Product Line approach

Author(s): Serrano-Gutierrez, P., Ayala, I., & Fuentes, L.
Published in: Joint Post-proceedings of the Third and Fourth International Conference on Microservices (Microservices 2020/2022). Open Access Series in Informatics (OASIcs), Issue 111, 2023, Page(s) 9:1-9:15
Publisher: Dagstuhl Publishing
DOI: 10.4230/oasics.microservices.2020-2022.9

FM fact label: a configurable and interactive visualization of feature model characterizations

Author(s): Horcas, Jose-Miguel; Galindo, José A.; Pinto, Mónica; Fuentes, Lidia; Benavides, David
Published in: SPLC '22: Proceedings of the 26th ACM International Systems and Software Product Line Conference, Issue 26 Vol.B, 2022, Page(s) 42–45, ISBN 978-1-4503-9206-8
Publisher: Association for Computing Machinery
DOI: 10.1145/3503229.3547025

Data-driven Analysis of the Cost-Performance Trade-off of Reconfigurable Intelligent Surfaces in a Production Network

Author(s): Marco Rossanese, Andres Garcia-Saavedra, Andra Elena Lutu, Xavier Costa Perez
Published in: Proceedings of the ACM on Networking, CONEXT3, Issue Vol.1, 2023, Page(s) 1–20, ISSN 2834-5509
Publisher: Association for Computing Machinery
DOI: 10.1145/3629134

OREO: O-RAN intElligence Orchestration of xApp-based network services

Author(s): F. Mungari, C. Puligheddu, A. Garcia-Saavedra, C. F. Chiasserini
Published in: IEEE INFOCOM 2024, 2024
Publisher: IEEE
DOI: 10.5281/zenodo.10686449

Composición Categórica de Análisis Automáticos para Líneas de Productos Extendidas

Author(s): Daniel-Jesus Munoz; Monica Pinto; Lidia Fuentes
Published in: Actas de las XXVI Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2022), Issue 26, 2022
Publisher: Sistedes
DOI: 10.5281/zenodo.6658078

A proactive energy-aware auto-scaling solution for edge-based infrastructures

Author(s): Cañete, Angel; Djemame, Karim; Amor, Mercedes; Fuentes, Lidia; Aljulayfi, Abdullah
Published in: 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC), Issue 15, 2022, ISBN 978-1-6654-6087-3
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/ucc56403.2022.00044

We're not gonna Break It!: Consistency-Preserving Operators for Efficient Product Line Configuration

Author(s): Horcas, J.M.; Strüber, D.G.F.; Burdusel, A.; Martinez, J.; Zschaler, S.; Felfernig, A.
Published in: SPLC '22: Proceedings of the 26th ACM International Systems and Software Product Line Conference - Volume A, Issue 26 vol.A, 2022, ISBN 978-1-4503-9443-7
Publisher: Association for Computing Machinery
DOI: 10.1145/3546932.3547011

A FaaS Approach for Long-Term Monitoring in Rehabilitation

Author(s): Serrano-Gutierrez, P., Ayala, I., Fuentes, L.
Published in: Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022). UCAmI 2022. Lecture Notes in Networks and Systems, Issue 594, 2022, ISBN 978-3-031-21332-8
Publisher: Springer Cham
DOI: 10.1007/978-3-031-21333-5_44

AutoML for Video Analytics with Edge Computing

Author(s): Galanopoulos, Apostolos; Ayala-Romero, Jose; Leith, Douglas; Iosifidis, George
Published in: IEEE International Conference on Computer Communications (INFOCOM), Issue 26, 2021
Publisher: IEEE
DOI: 10.5281/zenodo.4966558

ORANUS: Latency-tailored Orchestration via Stochastic Network Calculus in 6G O-RAN

Author(s): Adamuz-Hinojosa, Oscar; Zanzi, Lanfranco; Sciancalepore, Vincenzo; Garcia-Saavedra, Andres; Costa-Perez, Xavier
Published in: Accepted for publication in IEEE INFOCOM 2024, 2024
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.48550/arxiv.2401.03812

LossLeaP: Learning to Predict for Intent-Based Networking

Author(s): Collet, Alan; Banchs, Albert; Fiore, Marco
Published in: IEEE INFOCOM 2022 - IEEE Conference on Computer Communications, 2022, ISBN 978-1-6654-5822-1
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/infocom48880.2022.9796918

Bayesian Online Learning for Energy-Aware Resource Orchestration in Virtualized RANs

Author(s): Ayala-Romero, Jose; Garcia-Saavedra, Andres; Costa-Perez, Xavier; Iosifidis, George
Published in: IEEE International Conference on Computer Communications (INFOCOM), Issue 31, 2021
Publisher: IEEE
DOI: 10.5281/zenodo.4966637

Evaluation of iStar 2.0 models using Linear Programming

Author(s): Inmaculada Ayala, Mercedes Amor, Lidia Fuentes
Published in: iStar’22: The 15th International i* Workshop, 2022
Publisher: CEUR Workshop Proceedings
DOI: 10.5281/zenodo.10025736

DAEMON: A Network Intelligence Plane for 6G Networks

Author(s): Camelo, Miguel; Gramaglia, Marco; Soto, Paola; Fuentes, Lidia; Ballesteros, Joaquín; Bazco-Nogueras, Antonio; Garcia-Aviles, Gines; Latré, Steven; Garcia-Saavedra, Andres; Fiore, Marco
Published in: 2022 IEEE Globecom Workshops (GC Wkshps), Issue 2022, 2022, ISBN 978-1-6654-5975-4
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/gcwkshps56602.2022.10008662

Reservation of Virtualized Resources with Optimistic Online Learning

Author(s): Monteil, Jean-Baptiste; Iosifidis, George; Dusparic, Ivana
Published in: ICC 2023 - IEEE International Conference on Communications, 2023, ISBN 978-1-5386-7462-8
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/icc45041.2023.10279145

FLAMA: A collaborative effort to build a new framework for the automated analysis of feature models

Author(s): José A. Galindo, Jose-Miguel Horcas, Alexander Felferning, David Fernandez-Amoros, David Benavides
Published in: SPLC '23: Proceedings of the 27th ACM International Systems and Software Product Line Conference, Issue 27 Vol.B, 2023, Page(s) 16–19, ISBN 979-8-4007-0092-7
Publisher: Association for Computing Machinery
DOI: 10.1145/3579028.3609008

Fast Detection of Cyberattacks on the Metaverse through User-plane Inference

Author(s): Bütün, Beyza; Akem, Aristide Tanyi-Jong; Gucciardo, Michele; Fiore, Marco
Published in: 2023 IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom), 2023, ISBN 979-8-3503-3333-6
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/metacom57706.2023.00067

Energy-Efficient Orchestration of Metro-Scale 5G Radio Access Networks

Author(s): Rajkarn Singh; Cengis Hasan; Xenofon Foukas; Marco Fiore; Mahesh K. Marina; Yue Wang
Published in: IEEE Conference on Computer Communications Workshops (INFOCOM) 2021, Issue 31, 2021
Publisher: IEEE
DOI: 10.5281/zenodo.5524774

Jewel: Resource-Efficient Joint Packet and Flow Level Inference in Programmable Switches

Author(s): Akem, A. T.-J., Bütün, B., Gucciardo, M., & Fiore, M.
Published in: IEEE International Conference on Computer Communications 2024 (INFOCOM 2024)., 2024
Publisher: IEEE
DOI: 10.5281/zenodo.10731523

Category Theory Framework for Variability Models with Non-Functional Requirements

Author(s): Daniel-Jesus Munoz; Dilian Gurov; Monica Pinto; Lidia Fuentes
Published in: Advanced Information Systems Engineering, Issue 1, 2021
Publisher: Springer
DOI: 10.5281/zenodo.4599585

Nemo: A Tool to Transform Feature Models with Numerical Features and Arithmetic Constraints

Author(s): Munoz, Daniel-Jesus; Jeho Oh; Pinto, Monica; Fuentes, Lidia; Batory, Don
Published in: Reuse and Software Quality. ICSR 2022. Lecture Notes in Computer Science, Issue 13297, 2022, ISBN 978-3-031-08128-6
Publisher: Springer Nature Switzerland AG
DOI: 10.1007/978-3-031-08129-3_4

Teoría de Categorías Aplicada a Variabilidad

Author(s): Daniel-Jesus Munoz; Monica Pinto; Lidia Fuentes
Published in: Actas de las XXV Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2021), Issue 25, 2021
Publisher: Sistedes
DOI: 10.5281/zenodo.4974523

Traffic-Driven Sounding Reference Signal Resource Allocation in (Beyond) 5G Networks

Author(s): Claudio Fiandrino; Giulia Attanasio; Marco Fiore; Joerg Widmer
Published in: IEEE International Conference on Sensing, Communication, and Networking (SECON), Issue 18, 2021
Publisher: IEEE
DOI: 10.5281/zenodo.5524826

Realizing Flat Multi-Zone Multi-Controller Software-Defined Networks using Zenoh

Author(s): Giarre, Federico; Cominardi, Luca; Casari, Paolo
Published in: 2022 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), 2022, ISBN 978-1-6654-7334-7
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/nfv-sdn56302.2022.9974876

Flowrest: Practical Flow-Level Inference in Programmable Switches with Random Forests

Author(s): Tanyi-Jong, Akem Aristide; Gucciardo, Michele; Fiore, Marco
Published in: IEEE INFOCOM 2023 - IEEE Conference on Computer Communications, 2023, ISBN 979-8-3503-3414-2
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/infocom53939.2023.10229100

Experimental Evaluation of Power Consumption in Virtualized Base Stations

Author(s): Ayala-Romero, Jose; Khalid, Ihtisham; Garcia-Saavedra, Andres; Costa-Perez, Xavier; Iosifidis, George
Published in: IEEE International Conference on Communications (ICC), 14-23 June 2021, Issue 21, 2021
Publisher: IEEE
DOI: 10.5281/zenodo.4966356

Explainable and Transferable Loss Meta-Learning for Zero-Touch Anticipatory Network Management

Author(s): Alan Collet; Antonio Bazco-Nogueras; Albert Banchs; Marco Fiore
Published in: IEEE Transactions on Network and Service Management, 2024, ISSN 1932-4537
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnsm.2024.3377442

Lazy Lagrangians for Optimistic Learning With Budget Constraints

Author(s): Daron Anderson; George Iosifidis; Douglas J. Leith
Published in: IEEE/ACM Transactions on Networking, Issue 31(5), 2023, Page(s) 1935 - 1949, ISSN 1063-6692
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnet.2022.3222404

Deep Reinforcement Learning for Orchestrating Cost-Aware Reconfigurations of vRANs

Author(s): Fahri Wisnu Murti; Samad Ali; George Iosifidis; Matti Latva-aho
Published in: IEEE Transactions on Network and Service Management, Issue 22(1), 2023, Page(s) 200 - 216, ISSN 1932-4537
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnsm.2023.3292713

Selective Edge Computing for Mobile Analytics

Author(s): Apostolos Galanopoulos; George Iosifidis; Theodoros Salonidis; Douglas J. Leith
Published in: IEEE Transactions on Network and Service Management, Issue 19(3), 2022, Page(s) 3090 - 3104, ISSN 1932-4537
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnsm.2022.3174776

Improving network delay predictions using GNNs

Author(s): Miquel Farreras; Paola Soto; Miguel Camelo; Lluís Fàbrega; Pere Vilà
Published in: Journal of Network and Systems Management, Issue 31(65), 2023, ISSN 1064-7570
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10922-023-09758-9

Open Radio Access Networks (O-RAN) Experimentation Platform: Design and Datasets

Author(s): J. Xavier Salvat; Jose A. Ayala-Romero; Lanfranco Zanzi; Andres Garcia-Saavedra; Xavier Costa-Perez
Published in: IEEE Communications Magazine, Issue 61(9), 2023, Page(s) 138 - 144, ISSN 0163-6804
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mcom.003.2200711

Migration-Aware Network Services With Edge Computing

Author(s): Mukhopadhyay, A., Iosifidis, G., & Ruffini, M.
Published in: IEEE Transactions on Network and Service Management, Issue 19(2), 2022, Page(s) 1458 - 1471, ISSN 1932-4537
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnsm.2021.3139857

ATHENA: Machine Learning and Reasoning for Radio Resources Scheduling in vRAN systems

Author(s): Apostolakis, N., Gramaglia, M., Chatzieleftheriou, L. E., Subramanya, T., Banchs, A., & Sanneck, H.
Published in: IEEE Journal on Selected Areas in Communications, Issue 42(2), 2024, Page(s) 263 - 279, ISSN 0733-8716
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jsac.2023.3336155

Energy-Efficient Deployment of IoT Applications in Edge-Based Infrastructures: A Software Product Line Approach

Author(s): Cañete, Angel; Amor, Mercedes; Fuentes, Lidia
Published in: IEEE Internet of Things Journal, Issue 8, 2021, ISSN 2327-4662
Publisher: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.5281/zenodo.4605644

Toward native explainable and robust AI in 6G networks: Current state, challenges and road ahead

Author(s): Claudio Fiandrino; Giulia Attanasio; Marco Fiore; Joerg Widmer
Published in: Computer Communications, Issue 193, 2022, Page(s) 47-52, ISSN 0140-3664
Publisher: Elsevier BV
DOI: 10.1016/j.comcom.2022.06.036

SLA Decomposition for Network Slicing: A Deep Neural Network Approach

Author(s): Cyril Shih-Huan Hsu; Danny De Vleeschauwer; Chrysa Papagianni
Published in: IEEE Networking Letters, Issue 5(4), 2023, Page(s) 294 - 298, ISSN 2576-3156
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/lnet.2023.3310359

Transforming Numerical Feature Models into Propositional Formulas and the Universal Variability Language

Author(s): Daniel-Jesus Munoz; Monica Pinto; Lidia Fuentes; Don Batory
Published in: Journal of Systems and Software, Issue 204, 2023, ISSN 0164-1212
Publisher: Elsevier BV
DOI: 10.1016/j.jss.2023.111770

Digital Twins for Next-Generation Mobile Networks: Applications and Solutions

Author(s): Apostolakis, Nikolaos; Chatzieleftheriou, Livia Elena; Bega, Dario; Gramaglia, Marco; Banchs, Albert
Published in: IEEE Communications Magazine, Issue 61(11), 2023, Page(s) 80 - 86, ISSN 0163-6804
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mcom.001.2200854

AIRIC: Orchestration of Virtualized Radio Access Networks With Noisy Neighbours

Author(s): Josep Xavier Salvat Lozano; Andres Garcia-Saavedra; Xi Li; Xavier Costa Perez
Published in: IEEE Journal on Selected Areas in Communications, Issue 42(2), 2023, Page(s) 432 - 445, ISSN 0733-8716
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jsac.2023.3339749

Birkhoff's Decomposition Revisited: Sparse Scheduling for High-Speed Circuit Switches

Author(s): Victor Valls; George Iosifidis; Leandros Tassiulas
Published in: IEEE - ACM Transactions on Networking, 29(6), Issue 29, 2021, Page(s) Volume 29, Issue 6, ISSN 1063-6692
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnet.2021.3088327

Combining multiple granularity variability in a software product line approach for web engineering

Author(s): Horcas, Jose-Miguel; Cortiñas, Alejandro; Fuentes, Lidia; R. Luaces, Miguel
Published in: Information and Software Technology, Issue 148, 2022, ISSN 0950-5849
Publisher: Elsevier BV
DOI: 10.1016/j.infsof.2022.106910

Managing the far-Edge: are today's centralized solutions a good fit?

Author(s): Baldoni, Gabriele; Cominardi, Luca; Groshev, Milan; De la Oliva, Antonio; Corsaro, Angelo
Published in: IEEE Consumer Electronics Magazine, Issue 36, 2021, ISSN 2162-2256
Publisher: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.5281/zenodo.4923689

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, Issue 7(3), 2023, Page(s) 82 - 89, ISSN 2471-2825
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mcomstd.0001.2200041

Deep Multi-Agent Reinforcement Learning With Minimal Cross-Agent Communication for SFC Partitioning

Author(s): Pentelas, Angelos; De Vleeschauwer, Danny; Chang, Chia-Yu; De Schepper, Koen; Papadimitriou, Panagiotis
Published in: IEEE Access, Issue 11, 2023, Page(s) 40384-40398, ISSN 2169-3536
Publisher: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2023.3269576

Data-centric Service-Based Architecture for Edge-Native 6G Network

Author(s): Baldoni, G., Quevedo, J., Guimaraes, C., De la Oliva, A., & Corsaro, A.
Published in: IEEE Communication Magazine, Issue 62(4), 2024, Page(s) 32 - 38, ISSN 0163-6804
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mcom.001.2300178

Detecting Feature Influences to Quality Attributes in Large and Partially Measured Spaces using Smart Sampling and Dynamic Learning in Knowledge-Based Systems

Author(s): Daniel-Jesus Munoz; Monica Pinto; Lidia Fuentes
Published in: Knowledge-Based Systems, Issue 270, 2023, ISSN 0950-7051
Publisher: Elsevier BV
DOI: 10.1016/j.knosys.2023.110558

Risk-Aware Continuous Control with Neural Contextual Bandits

Author(s): Ayala-Romero, Jose A.; Garcia-Saavedra, Andres; Costa-Perez, Xavier
Published in: Proceedings of the AAAI Conference on Artificial Intelligence, Issue 38(19), 2024, Page(s) 20930-20938, ISSN 2374-3468
Publisher: Association for the Advancement of Artificial Intelligence
DOI: 10.1609/aaai.v38i19.30083

A modular metamodel and refactoring rules to achieve software product line interoperability

Author(s): Jose-Miguel Horcas, Mónica Pinto, Lidia Fuentes
Published in: Journal of Systems and Software, Issue 197, 2023, ISSN 0164-1212
Publisher: Elsevier BV
DOI: 10.1016/j.jss.2022.111579

Elastic FemtoCaching: Scale, Cache, and Route

Author(s): Kwak, Jeongho; Paschos, Georgios; Iosifidis, George
Published in: IEEE Transactions on Wireless Communications, Issue 20, 2021, Page(s) 4174 - 4189, ISSN 1536-1276
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.4967023

O-RAN: Disrupting the Virtualized RAN Ecosystem

Author(s): Andres Garcia-Saavedra; Xavier Costa-Perez
Published in: IEEE Communications Standards Magazine, Issue 5, 2021, ISSN 2471-2825
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.5746870

Quid pro Quo in Streaming Services: Algorithms for Cooperative Recommendations

Author(s): Dimitra Tsigkari; George Iosifidis; Thrasyvoulos Spyropoulos
Published in: IEEE Transactions on Mobile Computing, Issue 23(2), 2023, Page(s) 1753 - 1768, ISSN 1536-1233
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmc.2023.3240006

HADES: An NFV solution for energy-efficient placement and resource allocation in heterogeneous infrastructures. Study dataset

Author(s): Ángel Cañete, Mercedes Amor, Lidia Fuentes
Published in: Journal of Network and Computer Applications, Issue 221, 2023, ISSN 1084-8045
Publisher: Academic Press
DOI: 10.1016/j.jnca.2023.103764

vrAIn: Deep Learning based Orchestration for Computing and Radio Resources in vRANs

Author(s): Jose A. Ayala-Romero; Andres Garcia-Saavedra; Marco Gramaglia; Xavier Costa-Perez; Albert Banchs; Juan J. Alcaraz
Published in: IEEE Transactions on Mobile Computing, Issue 47, 2020, ISSN 1536-1233
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.5746896

Orchestrating Energy-Efficient vRANs: Bayesian Learning and Experimental Results

Author(s): Jose A. Ayala-Romero; Andres Garcia-Saavedra; Xavier Costa-Perez; George Iosifidis
Published in: IEEE Transactions on Mobile Computing, Issue 7, 2021, ISSN 1536-1233
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.5747905

ATARI: A Graph Convolutional Neural Network Approach for Performance Prediction in Next-Generation WLANs.

Author(s): Paola Soto; Miguel Camelo; Kevin Mets; Francesc Wilhelmi; David Góez; Luis Alejandro Fletscher; Natalia Gaviria; Peter Hellinckx; Juan Felipe Botero; Steven Latre
Published in: Sensors (Basel, Switzerland), Issue 6, 2021, ISSN 1424-8220
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21134321

Network Automation and Data Analytics in 3GPP 5G Systems

Author(s): Garcia-Martin, Miguel Angel; Gramaglia, Marco; Serrano, Pablo
Published in: IEEE Network, 2023, ISSN 0890-8044
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mnet.2023.3321524

Network Intelligence for NFV Scaling in Closed-Loop Architectures

Author(s): Soto, Paola; Camelo, Miguel; De Vleeschauwer, Danny; De Bock, Yorick; Chang, Chia-Yu; Botero, Juan F.; Latré, Steven
Published in: IEEE Communications Magazine, Issue 61(6), 2023, Page(s) 66 - 72, ISSN 0163-6804
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mcom.001.2200529

A Dataflow-Oriented Approach for Machine-Learning-Powered Internet of Things Applications

Author(s): Baldoni, G.; Teixeira, R.;Guimarães, C.; Antunes M.; GomesD.; Corsaro A.
Published in: Electronics, Issue 12, 3940, 2023, ISSN 2079-9292
Publisher: MDPI
DOI: 10.3390/electronics12183940

Learning-Based Reservation of Virtualized Network Resources

Author(s): Jean-Baptiste Monteil; George Iosifidis; Luiz A. DaSilva
Published in: IEEE Transactions on Network and Service Management, Issue 19(3), 2022, Page(s) 2001 - 2016, ISSN 1932-4537
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnsm.2022.3144774

A General Approach for Traffic Classification in Wireless Networks using Deep Learning

Author(s): Miguel Camelo; Paola Soto; Steven Latré
Published in: IEEE Transactions on Network and Service Management, Issue 6, 2021, ISSN 1932-4537
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.5236573

A Methodology to Design Quantized Deep Neural Networks for Automatic Modulation Recognition

Author(s): David Góez; Paola Soto; Steven Latré; Natalia Gaviria; Miguel Camelo
Published in: Algorithms, Issue 15(12), 441, 2022, ISSN 1999-4893
Publisher: MDPI Open Access Publishing
DOI: 10.3390/a15120441

Design and Validation of an Open Source Cloud Native Mobile Network

Author(s): Apostolakis, Nikolaos; Gramaglia, Marco; Serrano, Pablo
Published in: IEEE Communications Magazine, Issue 60(11), 2022, Page(s) 66 - 72, ISSN 0163-6804
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mcom.003.2200195

Supporting IoT applications deployment on edge-based infrastructures using multi-layer feature models

Author(s): Cañete, Angel; Amor, Mercedes; Fuentes, Lidia
Published in: Journal of Systems and Software, Issue 183, 2021, ISSN 0164-1212
Publisher: Elsevier BV
DOI: 10.5281/zenodo.5476111

AI-Empowered Management and Orchestration of Vehicular Systems in the Beyond 5G Era

Author(s): Slamnik-Kriještorac, N., Camelo, M., Chang, C.-Y., Soto, P., Cominardi, L., De Vleeschauwer, D., Latré, S., & Marquez-Barja, J.
Published in: IEEE Network, Issue 37(4), 2023, Page(s) 305 - 313, ISSN 0890-8044
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mnet.008.2300024

Empirical analysis of the tool support for software product lines

Author(s): José Miguel Horcas; Mónica Pinto; Lidia Fuentes
Published in: Software and Systems Modeling, Issue 22, 2023, Page(s) 377–414, ISSN 1619-1366
Publisher: Springer Verlag
DOI: 10.1007/s10270-022-01011-2

RadiOrchestra: Proactive Management of Millimeter-Wave Self-Backhauled Small Cells via Joint Optimization of Beamforming, User Association, Rate Selection, and Admission Control

Author(s): Luis F. Abanto-Leon; Arash Asadi; Andres Garcia-Saavedra; Gek Hong Sim; Matthias Hollick
Published in: IEEE Transactions on Wireless Communications, Issue 22(1), 2023, Page(s) 153 - 173, ISSN 1536-1276
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/twc.2022.3191744

ProDSPL: Proactive Self-Adaptation based on Dynamic Software Product Lines

Author(s): Inmaculada Ayala; Alessandro V. Papadopoulos; Mercedes Amor; Lidia Fuentes
Published in: Journal of Systems and Software, Issue 175, 2021, ISSN 0164-1212
Publisher: Elsevier BV
DOI: 10.5281/zenodo.4616618

Towards Sustainable and Trustworthy 6G: Challenges, Enablers, and Architectural Design

Author(s): Ömer Bulakçı (ed.), Xi Li (ed.), Marco Gramaglia (ed.), Anastasius Gavras (ed.), Mikko Uusitalo (ed.), Patrik Rugeland (ed.), Mauro Boldi (ed.)
Published in: 2023, ISBN 978-1-63828-239-6
Publisher: Now Publishers
DOI: 10.1561/9781638282396

Research Landscape – 6G Networks Research in Europe

Author(s): Soumaya Cherkaoui
Published in: IEEE Network, Issue 36(6), 2021, Page(s) 4-6, ISSN 0890-8044
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mnet.2021.9687530

A Deep RL Approach on Task Placement and Scaling of Edge Resources for Cellular Vehicle-to-Network Service Provisioning

Author(s): Hsu, Cyril Shih-Huan; Martín-Pérez, Jorge; De Vleeschauwer, Danny; Kondepu, Koteswararao; Valcarenghi, Luca; Li, Xi; Papagianni, Chrysa
Published in: arXiv (submitted to IEEE Transactions on Services Computing), 2023
Publisher: arXiv
DOI: 10.48550/arxiv.2305.09832

Privacy-Preserving AI for Future Networks

Author(s): Diego Perino, Kleomenis Katevas, Andra Lutu, Eduard Marin, Nicolas Kourtellis
Published in: Communications of the ACM, Issue 65(4), 2022, Page(s) 52-53, ISSN 0001-0782
Publisher: Association for Computing Machinery
DOI: 10.1145/3512343

Designing the Network Intelligence Stratum for 6G Networks

Author(s): Soto Arenas, P. A., Camelo, M., Garcia-Aviles, G., Municio, E., Gramaglia, M., Kosmatos, E., Slamnik-Kriještorac, N., De Vleeschauwer, D., Bazco-Nogueras, A., Fuentes, L., Ballesteros, J., Lutu, A., Cominardi, L., Paez, I., Alcalá-Marín, S., Chatzieleftheriou, L. E., Garcia-Saavedra, A., & Fiore, M.
Published in: 2024
Publisher: Zenodo
DOI: 10.5281/zenodo.10619440

6G Technology Overview - One6G White Paper

Author(s): Carlos Guimaraes, Luca Cominardi et al.
Published in: 2022
Publisher: One6G
DOI: 10.5281/zenodo.6630706

Guest Editorial: Network Applications Software for Vertical IoT Industry

Author(s): Bessem Sayadi; Chia-Yu Chang; Christos Tranoris; Qi Wang; Abhimanyu Gosain; Akihiro Nakao; Yue Wang
Published in: IEEE Internet of Things Magazine, Issue 5(4), 2022, Page(s) 112 - 114, ISSN 2576-3180
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/miot.2022.10012471

European Vision for the 6G Network Ecosystem

Author(s): Bernardos, C. J., & Uusitalo, M. A.
Published in: The 5G Infrastructure Association Whitepapers, 2021
Publisher: The 5G Infrastructure Association
DOI: 10.5281/zenodo.5007671

5G PPP Architecture Working Group - View on 5G Architecture, Version 4.0

Author(s): Gavras, Anastasius; Bulakci, Ömer; Gramaglia, Marco; Iordache, Marius; Ghoraishi, Mir; Garcia, Antonio; Cogalan, Tezcan; Gutiérrez, Jesús; Tzanakaki, Anna; Warren, Dan; Li, Xi; Landi, Giada; Mangues, Josep; Tsagkaris, Kostas; Frascolla, Valerio; Lee, Haeyoung
Published in: Issue 26, 2021
Publisher: 5GPPP Architecture Working Group
DOI: 10.5281/zenodo.5155657

5G PPP Architecture Working Group - The 6G Architecture Landscape - European perspective

Author(s): Bahare, M. K., Gavras, A., Gramaglia, M., Cosmas, J., Li, X., Bulakci, Ö., Rahman, A., Kostopoulos, A., Mesodiakaki, A., Tsolkas, D., Ericson, M., Boldi, M., Uusitalo, M., Ghoraishi, M., & Rugeland, P.
Published in: 5G PPP Architecture Working Group White Papers, 2023
Publisher: 5G PPP Architecture Working Group
DOI: 10.5281/zenodo.7313232

5G Public Private PartnershipTest, Measurement and KPIs Validation Working Group - Whitepaper Beyond 5G/6G KPIs and Target Values

Author(s): Nielsen, L., Gavras, A., Dieudonne, M., Mesogiti, I., Roosipuu, P., Houatra, D., & Kosmatos, E.
Published in: 5G Public Private PartnershipTest, Measurement and KPIs Validation Working Group Whitepapers, 2022
Publisher: 5G Public Private PartnershipTest, Measurement and KPIs Validation Working Group
DOI: 10.5281/zenodo.6577506

Towards Natively Intelligent Networks

Author(s): Marco Gramaglia, Xi Li, Ginés García-Aviles
Published in: "Ömer Bulakçı (ed.), Xi Li (ed.), Marco Gramaglia (ed.), Anastasius Gavras (ed.), Mikko Uusitalo (ed.), Patrik Rugeland (ed.), Mauro Boldi (ed.) (2023), ""Towards Sustainable and Trustworthy 6G: Challenges, Enablers, and Architectural Design"", Boston-Delft: now publishers, http://dx.doi.org/10.1561/9781638282396", 2023, Page(s) Chapter 5 (pp. 159-232)
Publisher: now publishers inc.
DOI: 10.1561/9781638282396.ch5

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