Network intelligence for aDAptive and sElf-Learning MObile Networks

Leistungen

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.

Veröffentlichungen

Fair Resource Allocation in Virtualized O-RAN Platforms

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

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

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

Network Intelligence for Virtualized RAN Orchestration: The DAEMON Approach

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

Variability in data transformation: towards data migration product lines

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

Quality-aware analysis and optimisation of virtual network functions

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

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

Autoren: Angel Cañete; Alberto Rodriguez; Lidia Fuentes; Mercedes Amor
Veröffentlicht in: Jornadas de Ingeniería del Software y Bases de Datos (JISBD), Ausgabe 17, 2021
Herausgeber: Sociedad Científica Informática de España
DOI: 10.5281/zenodo.5075287

Nuberu: a reliable DU design suitable for virtualization platforms

Autoren: Garcia-Aviles, G., Garcia-Saavedra, A., Gramaglia, M., Costa-Perez, X., Serrano, P. & Banchs, A.
Veröffentlicht in: MobiCom '21: Proceedings of the 27th Annual International Conference on Mobile Computing and Networking, Ausgabe 27, 2021, Seite(n) 862–864, ISBN 978-1-4503-8342-4
Herausgeber: 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

Autoren: Nina Slamnik-Kriještorac; Miguel Camelo; Luca Cominardi; Steven Latré; Johann M. Marquez-Barja
Veröffentlicht in: IEEE Consumer Communications & Networking Conference 2022, Ausgabe 11, 2021
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.5767768

Elimination of constraints for parallel analysis of feature models

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

EdgeBOL: Automating Energy-savings for Mobile Edge AI

Autoren: J. A. Ayala-Romero, A. Garcia-Saavedra, G. Iosifidis, X. Costa-Perez
Veröffentlicht in: ACM International Conference on emerging Networking EXperiments and Technologies, 2021
Herausgeber: Association for Computing Machinery
DOI: 10.5281/zenodo.5734868

No-Regret Slice Reservation Algorithms

Autoren: Monteil, Jean-Baptiste; Iosifidis, George; DaSilva, Luiz
Veröffentlicht in: IEEE International Conference on Communications (ICC), Ausgabe 8, 2021
Herausgeber: 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

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

Global mobile network aggregators: taxonomy, roaming performance and optimization

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

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

Autoren: 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
Veröffentlicht in: 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), Ausgabe 19, 2022, ISBN 978-1-6654-3161-3
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/ccnc49033.2022.9700729

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

Autoren: Collet, Alan; Bazco-Nogueras, Antonio; Banchs, Albert; Fiore, Marco
Veröffentlicht in: IEEE INFOCOM 2023 - IEEE Conference on Computer Communications, Ausgabe 2023, 2023, ISBN 979-8-3503-3414-2
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/infocom53939.2023.10229064

Network Intelligence in 6G: challenges and opportunities

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

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

Autoren: Kalntis, Michail; Iosifidis, George
Veröffentlicht in: GLOBECOM 2022 - 2022 IEEE Global Communications Conference, Ausgabe 2022, 2022, ISBN 978-1-6654-3540-6
Herausgeber: 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

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

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

Autoren: Kleidi Ismailaj; Miguel Camelo; Steven Latré
Veröffentlicht in: IEEE/IFIP International Workshop on Analytics for Network and Service Management, Ausgabe 7, 2021
Herausgeber: International Federation for Information Processing
DOI: 10.5281/zenodo.5127129

Optimistic No-regret Algorithms for Discrete Caching

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

Forecasting for Network Management with Joint Statistical Modelling and Machine Learning

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

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

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

Nuberu: Reliable RAN Virtualization in Shared Platforms

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

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

Autoren: Julian Jimenez, Paola Soto, Danny De Vleeschauwer, Chia-Yu Chang, Yorick De Bock, Steven Latre, Miguel Camelo
Veröffentlicht in: 19th International Conference on Network and Service Management, Ausgabe 19, 2023
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.10007880

Enabling Long-term Fairness in Dynamic Resource Allocation

Autoren: Tareq Si Salem; Georgios Iosifidis; Giovanni Neglia
Veröffentlicht in: Proceedings of the ACM on Measurement and Analysis of Computing Systems, Ausgabe 6(3), 2022, Seite(n) 1-36, ISSN 2476-1249
Herausgeber: Association for Computing Machinery
DOI: 10.1145/3570606

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

Autoren: Chaoyun Zhang; Marco Fiore; Iain Murray; Paul Patras
Veröffentlicht in: Thirty-Fifth AAAI Conference on Artificial Intelligence, Ausgabe 8, 2021
Herausgeber: IEEE
DOI: 10.5281/zenodo.5524838

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

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

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

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

Towards Autonomous VNF Auto-scaling using Deep Reinforcement Learning

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

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

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

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

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

Detecting Contextual Network Anomalies with Graph Neural Networks

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

Zenoh-based Dataflow Framework for Autonomous Vehicles

Autoren: Baldoni, Gabriele; Loudet, Julien; Cominardi, Luca; Corsaro, Angelo; He, Yong
Veröffentlicht in: IEEE International Symposium on Autonomous Vehicle Software (AVS 2021) (IEEE QRS 2021 AVS), Hainan Island, China, December 6-10, 2021, Ausgabe 2, 2021
Herausgeber: 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

Autoren: Cañete, Ángel; Rodríguez, Alberto; Amor, Mercedes; Fuentes, Lidia
Veröffentlicht in: Service-Oriented Computing – ICSOC 2022 Workshops. ICSOC 2022. Lecture Notes in Computer Science., Ausgabe 13821, 2023, Seite(n) 183-195, ISBN 978-3-031-26506-8
Herausgeber: Springer
DOI: 10.1007/978-3-031-26507-5_15

Henna: hierarchical machine learning inference in programmable switches

Autoren: Akem Aristide Tanyi-Jong; Beyza Bütün; Michele Gucciardo; Marco Fiore
Veröffentlicht 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, Ausgabe 1, 2022, Seite(n) 1–7, ISBN 978-1-4503-9887-9
Herausgeber: Association for Computing Machinery
DOI: 10.1145/3565009.3569520

Enhancing 5G Radio Planning with Graph Representations and Deep Learning

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

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

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

Insights from Operating an IP Exchage Provider

Autoren: Lutu, Andra; Perino, Diego; Bagnulo, Marcelo; Bustamante, Fabián E.
Veröffentlicht in: Proceedings of the 2021 ACM SIGCOMM 2021 Conference, Ausgabe 32, 2021, ISBN 978-1-4503-8383-7
Herausgeber: Association for Computing Machinery
DOI: 10.5281/zenodo.5722464

Development and Evolution of Software Product Lines Driven by Stakeholder Beliefs

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

Applying QoS in FaaS applications: a Software Product Line approach

Autoren: Serrano-Gutierrez, P., Ayala, I., & Fuentes, L.
Veröffentlicht in: Joint Post-proceedings of the Third and Fourth International Conference on Microservices (Microservices 2020/2022). Open Access Series in Informatics (OASIcs), Ausgabe 111, 2023, Seite(n) 9:1-9:15
Herausgeber: Dagstuhl Publishing
DOI: 10.4230/oasics.microservices.2020-2022.9

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

Autoren: Horcas, Jose-Miguel; Galindo, José A.; Pinto, Mónica; Fuentes, Lidia; Benavides, David
Veröffentlicht in: SPLC '22: Proceedings of the 26th ACM International Systems and Software Product Line Conference, Ausgabe 26 Vol.B, 2022, Seite(n) 42–45, ISBN 978-1-4503-9206-8
Herausgeber: 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

Autoren: Marco Rossanese, Andres Garcia-Saavedra, Andra Elena Lutu, Xavier Costa Perez
Veröffentlicht in: Proceedings of the ACM on Networking, CONEXT3, Ausgabe Vol.1, 2023, Seite(n) 1–20, ISSN 2834-5509
Herausgeber: Association for Computing Machinery
DOI: 10.1145/3629134

Composición Categórica de Análisis Automáticos para Líneas de Productos Extendidas

Autoren: Daniel-Jesus Munoz; Monica Pinto; Lidia Fuentes
Veröffentlicht in: Actas de las XXVI Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2022), Ausgabe 26, 2022
Herausgeber: Sistedes
DOI: 10.5281/zenodo.6658078

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

Autoren: Cañete, Angel; Djemame, Karim; Amor, Mercedes; Fuentes, Lidia; Aljulayfi, Abdullah
Veröffentlicht in: 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC), Ausgabe 15, 2022, ISBN 978-1-6654-6087-3
Herausgeber: 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

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

A FaaS Approach for Long-Term Monitoring in Rehabilitation

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

AutoML for Video Analytics with Edge Computing

Autoren: Galanopoulos, Apostolos; Ayala-Romero, Jose; Leith, Douglas; Iosifidis, George
Veröffentlicht in: IEEE International Conference on Computer Communications (INFOCOM), Ausgabe 26, 2021
Herausgeber: IEEE
DOI: 10.5281/zenodo.4966558

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

Autoren: Ayala-Romero, Jose; Garcia-Saavedra, Andres; Costa-Perez, Xavier; Iosifidis, George
Veröffentlicht in: IEEE International Conference on Computer Communications (INFOCOM), Ausgabe 31, 2021
Herausgeber: IEEE
DOI: 10.5281/zenodo.4966637

DAEMON: A Network Intelligence Plane for 6G Networks

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

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

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

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

Autoren: Rajkarn Singh; Cengis Hasan; Xenofon Foukas; Marco Fiore; Mahesh K. Marina; Yue Wang
Veröffentlicht in: IEEE Conference on Computer Communications Workshops (INFOCOM) 2021, Ausgabe 31, 2021
Herausgeber: IEEE
DOI: 10.5281/zenodo.5524774

Category Theory Framework for Variability Models with Non-Functional Requirements

Autoren: Daniel-Jesus Munoz; Dilian Gurov; Monica Pinto; Lidia Fuentes
Veröffentlicht in: Advanced Information Systems Engineering, Ausgabe 1, 2021
Herausgeber: Springer
DOI: 10.5281/zenodo.4599585

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

Autoren: Munoz, Daniel-Jesus; Jeho Oh; Pinto, Monica; Fuentes, Lidia; Batory, Don
Veröffentlicht in: Reuse and Software Quality. ICSR 2022. Lecture Notes in Computer Science, Ausgabe 13297, 2022, ISBN 978-3-031-08128-6
Herausgeber: Springer Nature Switzerland AG
DOI: 10.1007/978-3-031-08129-3_4

Teoría de Categorías Aplicada a Variabilidad

Autoren: Daniel-Jesus Munoz; Monica Pinto; Lidia Fuentes
Veröffentlicht in: Actas de las XXV Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2021), Ausgabe 25, 2021
Herausgeber: Sistedes
DOI: 10.5281/zenodo.4974523

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

Autoren: Claudio Fiandrino; Giulia Attanasio; Marco Fiore; Joerg Widmer
Veröffentlicht in: IEEE International Conference on Sensing, Communication, and Networking (SECON), Ausgabe 18, 2021
Herausgeber: IEEE
DOI: 10.5281/zenodo.5524826

Experimental Evaluation of Power Consumption in Virtualized Base Stations

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

Lazy Lagrangians for Optimistic Learning With Budget Constraints

Autoren: Daron Anderson; George Iosifidis; Douglas J. Leith
Veröffentlicht in: IEEE/ACM Transactions on Networking, Ausgabe 31(5), 2023, Seite(n) 1935 - 1949, ISSN 1063-6692
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnet.2022.3222404

Deep Reinforcement Learning for Orchestrating Cost-Aware Reconfigurations of vRANs

Autoren: Fahri Wisnu Murti; Samad Ali; George Iosifidis; Matti Latva-aho
Veröffentlicht in: IEEE Transactions on Network and Service Management, Ausgabe 22(1), 2023, Seite(n) 200 - 216, ISSN 1932-4537
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnsm.2023.3292713

Selective Edge Computing for Mobile Analytics

Autoren: Apostolos Galanopoulos; George Iosifidis; Theodoros Salonidis; Douglas J. Leith
Veröffentlicht in: IEEE Transactions on Network and Service Management, Ausgabe 19(3), 2022, Seite(n) 3090 - 3104, ISSN 1932-4537
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnsm.2022.3174776

Improving network delay predictions using GNNs

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

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

Autoren: J. Xavier Salvat; Jose A. Ayala-Romero; Lanfranco Zanzi; Andres Garcia-Saavedra; Xavier Costa-Perez
Veröffentlicht in: IEEE Communications Magazine, Ausgabe 61(9), 2023, Seite(n) 138 - 144, ISSN 0163-6804
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mcom.003.2200711

Migration-Aware Network Services With Edge Computing

Autoren: Mukhopadhyay, A., Iosifidis, G., & Ruffini, M.
Veröffentlicht in: IEEE Transactions on Network and Service Management, Ausgabe 19(2), 2022, Seite(n) 1458 - 1471, ISSN 1932-4537
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnsm.2021.3139857

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

Autoren: Apostolakis, N., Gramaglia, M., Chatzieleftheriou, L. E., Subramanya, T., Banchs, A., & Sanneck, H.
Veröffentlicht in: IEEE Journal on Selected Areas in Communications, Ausgabe 42(2), 2024, Seite(n) 263 - 279, ISSN 0733-8716
Herausgeber: 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

Autoren: Cañete, Angel; Amor, Mercedes; Fuentes, Lidia
Veröffentlicht in: IEEE Internet of Things Journal, Ausgabe 8, 2021, ISSN 2327-4662
Herausgeber: 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

Autoren: Claudio Fiandrino; Giulia Attanasio; Marco Fiore; Joerg Widmer
Veröffentlicht in: Computer Communications, Ausgabe 193, 2022, Seite(n) 47-52, ISSN 0140-3664
Herausgeber: Elsevier BV
DOI: 10.1016/j.comcom.2022.06.036

SLA Decomposition for Network Slicing: A Deep Neural Network Approach

Autoren: Cyril Shih-Huan Hsu; Danny De Vleeschauwer; Chrysa Papagianni
Veröffentlicht in: IEEE Networking Letters, Ausgabe 5(4), 2023, Seite(n) 294 - 298, ISSN 2576-3156
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/lnet.2023.3310359

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

Autoren: Daniel-Jesus Munoz; Monica Pinto; Lidia Fuentes; Don Batory
Veröffentlicht in: Journal of Systems and Software, Ausgabe 204, 2023, ISSN 0164-1212
Herausgeber: Elsevier BV
DOI: 10.1016/j.jss.2023.111770

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

Autoren: Apostolakis, Nikolaos; Chatzieleftheriou, Livia Elena; Bega, Dario; Gramaglia, Marco; Banchs, Albert
Veröffentlicht in: IEEE Communications Magazine, Ausgabe 61(11), 2023, Seite(n) 80 - 86, ISSN 0163-6804
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mcom.001.2200854

AIRIC: Orchestration of Virtualized Radio Access Networks With Noisy Neighbours

Autoren: Josep Xavier Salvat Lozano; Andres Garcia-Saavedra; Xi Li; Xavier Costa Perez
Veröffentlicht in: IEEE Journal on Selected Areas in Communications, Ausgabe 42(2), 2023, Seite(n) 432 - 445, ISSN 0733-8716
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jsac.2023.3339749

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

Autoren: Victor Valls; George Iosifidis; Leandros Tassiulas
Veröffentlicht in: IEEE - ACM Transactions on Networking, 29(6), Ausgabe 29, 2021, Seite(n) Volume 29, Ausgabe 6, ISSN 1063-6692
Herausgeber: 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

Autoren: Horcas, Jose-Miguel; Cortiñas, Alejandro; Fuentes, Lidia; R. Luaces, Miguel
Veröffentlicht in: Information and Software Technology, Ausgabe 148, 2022, ISSN 0950-5849
Herausgeber: Elsevier BV
DOI: 10.1016/j.infsof.2022.106910

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

Autoren: Baldoni, Gabriele; Cominardi, Luca; Groshev, Milan; De la Oliva, Antonio; Corsaro, Angelo
Veröffentlicht in: IEEE Consumer Electronics Magazine, Ausgabe 36, 2021, ISSN 2162-2256
Herausgeber: 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

Autoren: Esteban Municio; Gines Garcia-Aviles; Andres Garcia-Saavedra; Xavier Costa-Pérez
Veröffentlicht in: IEEE Communications Standards Magazine, Ausgabe 7(3), 2023, Seite(n) 82 - 89, ISSN 2471-2825
Herausgeber: 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

Autoren: Pentelas, Angelos; De Vleeschauwer, Danny; Chang, Chia-Yu; De Schepper, Koen; Papadimitriou, Panagiotis
Veröffentlicht in: IEEE Access, Ausgabe 11, 2023, Seite(n) 40384-40398, ISSN 2169-3536
Herausgeber: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2023.3269576

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

Autoren: Baldoni, G., Quevedo, J., Guimaraes, C., De la Oliva, A., & Corsaro, A.
Veröffentlicht in: IEEE Communication Magazine, Ausgabe 62(4), 2024, Seite(n) 32 - 38, ISSN 0163-6804
Herausgeber: 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

Autoren: Daniel-Jesus Munoz; Monica Pinto; Lidia Fuentes
Veröffentlicht in: Knowledge-Based Systems, Ausgabe 270, 2023, ISSN 0950-7051
Herausgeber: Elsevier BV
DOI: 10.1016/j.knosys.2023.110558

Risk-Aware Continuous Control with Neural Contextual Bandits

Autoren: Ayala-Romero, Jose A.; Garcia-Saavedra, Andres; Costa-Perez, Xavier
Veröffentlicht in: Proceedings of the AAAI Conference on Artificial Intelligence, Ausgabe 38(19), 2024, Seite(n) 20930-20938, ISSN 2374-3468
Herausgeber: 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

Autoren: Jose-Miguel Horcas, Mónica Pinto, Lidia Fuentes
Veröffentlicht in: Journal of Systems and Software, Ausgabe 197, 2023, ISSN 0164-1212
Herausgeber: Elsevier BV
DOI: 10.1016/j.jss.2022.111579

Elastic FemtoCaching: Scale, Cache, and Route

Autoren: Kwak, Jeongho; Paschos, Georgios; Iosifidis, George
Veröffentlicht in: IEEE Transactions on Wireless Communications, Ausgabe 20, 2021, Seite(n) 4174 - 4189, ISSN 1536-1276
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.4967023

O-RAN: Disrupting the Virtualized RAN Ecosystem

Autoren: Andres Garcia-Saavedra; Xavier Costa-Perez
Veröffentlicht in: IEEE Communications Standards Magazine, Ausgabe 5, 2021, ISSN 2471-2825
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.5746870

Quid pro Quo in Streaming Services: Algorithms for Cooperative Recommendations

Autoren: Dimitra Tsigkari; George Iosifidis; Thrasyvoulos Spyropoulos
Veröffentlicht in: IEEE Transactions on Mobile Computing, Ausgabe 23(2), 2023, Seite(n) 1753 - 1768, ISSN 1536-1233
Herausgeber: 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

Autoren: Ángel Cañete, Mercedes Amor, Lidia Fuentes
Veröffentlicht in: Journal of Network and Computer Applications, Ausgabe 221, 2023, ISSN 1084-8045
Herausgeber: Academic Press
DOI: 10.1016/j.jnca.2023.103764

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

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

Orchestrating Energy-Efficient vRANs: Bayesian Learning and Experimental Results

Autoren: Jose A. Ayala-Romero; Andres Garcia-Saavedra; Xavier Costa-Perez; George Iosifidis
Veröffentlicht in: IEEE Transactions on Mobile Computing, Ausgabe 7, 2021, ISSN 1536-1233
Herausgeber: 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.

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

Network Intelligence for NFV Scaling in Closed-Loop Architectures

Autoren: Soto, Paola; Camelo, Miguel; De Vleeschauwer, Danny; De Bock, Yorick; Chang, Chia-Yu; Botero, Juan F.; Latré, Steven
Veröffentlicht in: IEEE Communications Magazine, Ausgabe 61(6), 2023, Seite(n) 66 - 72, ISSN 0163-6804
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mcom.001.2200529

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

Autoren: Baldoni, G.; Teixeira, R.;Guimarães, C.; Antunes M.; GomesD.; Corsaro A.
Veröffentlicht in: Electronics, Ausgabe 12, 3940, 2023, ISSN 2079-9292
Herausgeber: MDPI
DOI: 10.3390/electronics12183940

Learning-Based Reservation of Virtualized Network Resources

Autoren: Jean-Baptiste Monteil; George Iosifidis; Luiz A. DaSilva
Veröffentlicht in: IEEE Transactions on Network and Service Management, Ausgabe 19(3), 2022, Seite(n) 2001 - 2016, ISSN 1932-4537
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnsm.2022.3144774

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

Autoren: Miguel Camelo; Paola Soto; Steven Latré
Veröffentlicht in: IEEE Transactions on Network and Service Management, Ausgabe 6, 2021, ISSN 1932-4537
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.5236573

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

Autoren: David Góez; Paola Soto; Steven Latré; Natalia Gaviria; Miguel Camelo
Veröffentlicht in: Algorithms, Ausgabe 15(12), 441, 2022, ISSN 1999-4893
Herausgeber: MDPI Open Access Publishing
DOI: 10.3390/a15120441

Design and Validation of an Open Source Cloud Native Mobile Network

Autoren: Apostolakis, Nikolaos; Gramaglia, Marco; Serrano, Pablo
Veröffentlicht in: IEEE Communications Magazine, Ausgabe 60(11), 2022, Seite(n) 66 - 72, ISSN 0163-6804
Herausgeber: 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

Autoren: Cañete, Angel; Amor, Mercedes; Fuentes, Lidia
Veröffentlicht in: Journal of Systems and Software, Ausgabe 183, 2021, ISSN 0164-1212
Herausgeber: Elsevier BV
DOI: 10.5281/zenodo.5476111

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

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

Empirical analysis of the tool support for software product lines

Autoren: José Miguel Horcas; Mónica Pinto; Lidia Fuentes
Veröffentlicht in: Software and Systems Modeling, Ausgabe 22, 2023, Seite(n) 377–414, ISSN 1619-1366
Herausgeber: 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

Autoren: Luis F. Abanto-Leon; Arash Asadi; Andres Garcia-Saavedra; Gek Hong Sim; Matthias Hollick
Veröffentlicht in: IEEE Transactions on Wireless Communications, Ausgabe 22(1), 2023, Seite(n) 153 - 173, ISSN 1536-1276
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/twc.2022.3191744

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

Autoren: Inmaculada Ayala; Alessandro V. Papadopoulos; Mercedes Amor; Lidia Fuentes
Veröffentlicht in: Journal of Systems and Software, Ausgabe 175, 2021, ISSN 0164-1212
Herausgeber: Elsevier BV
DOI: 10.5281/zenodo.4616618

Research Landscape – 6G Networks Research in Europe

Autoren: Soumaya Cherkaoui
Veröffentlicht in: IEEE Network, Ausgabe 36(6), 2021, Seite(n) 4-6, ISSN 0890-8044
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mnet.2021.9687530

Privacy-Preserving AI for Future Networks

Autoren: Diego Perino, Kleomenis Katevas, Andra Lutu, Eduard Marin, Nicolas Kourtellis
Veröffentlicht in: Communications of the ACM, Ausgabe 65(4), 2022, Seite(n) 52-53, ISSN 0001-0782
Herausgeber: Association for Computing Machinery
DOI: 10.1145/3512343

Guest Editorial: Network Applications Software for Vertical IoT Industry

Autoren: Bessem Sayadi; Chia-Yu Chang; Christos Tranoris; Qi Wang; Abhimanyu Gosain; Akihiro Nakao; Yue Wang
Veröffentlicht in: IEEE Internet of Things Magazine, Ausgabe 5(4), 2022, Seite(n) 112 - 114, ISSN 2576-3180
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/miot.2022.10012471

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

Autoren: 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
Veröffentlicht in: Ausgabe 26, 2021
Herausgeber: 5GPPP Architecture Working Group
DOI: 10.5281/zenodo.5155657

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