Hatim Chergui

IEEE Trans. Veh. Technol., March, 2023

SCHE2MA: Scalable, Energy-Aware, Multidomain Orchestration for Beyond-5G URLLC Services.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2023

Intelligible Protocol Learning for Resource Allocation in 6G O-RAN Slicing.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

SliceOps: Explainable MLOps for Streamlined Automation-Native 6G Networks.

[BibT_eX]

[DOI]

Luis Alonso

CoRR, 2023

A Survey on Explainable AI for 6G O-RAN: Architecture, Use Cases, Challenges and Research Directions.

[BibT_eX]

[DOI]

Muhammad Shuaib Siddiqui

Xavier Costa-Pérez

CoRR, 2023

Clustering-Enabled Tracking Areas Design for Beyond-5G Networks: A Live Network Demo.

[BibT_eX]

[DOI]

Brahim Aamer

Proceedings of the International Wireless Communications and Mobile Computing, 2023

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2023

Explanation-Guided Deep Reinforcement Learning for Trustworthy 6G RAN Slicing.

[BibT_eX]

[DOI]

Adriana Fernández-Fernández

Josep Mangues-Bafalluy

Proceedings of the IEEE International Conference on Communications, 2023

6GENABLERS: A Holistic Approach to Establish Pervasive Trust in 6G Networks.

[BibT_eX]

[DOI]

Muhammad Asad

Proceedings of the 28th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks , 2023

2022

Toward Zero-Touch Management and Orchestration of Massive Deployment of Network Slices in 6G.

[BibT_eX]

[DOI]

Adlen Ksentini

Luis Blanco

IEEE Wirel. Commun., 2022

Statistical Federated Learning for Beyond 5G SLA-Constrained RAN Slicing.

[BibT_eX]

[DOI]

Luis Blanco

IEEE Trans. Wirel. Commun., 2022

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

[BibT_eX]

[DOI]

Luis Sanabria-Russo

Proceedings of the IEEE International Conference on Communications, 2022

2021

Zero-Touch AI-Driven Distributed Management for Energy-Efficient 6G Massive Network Slicing.

[BibT_eX]

[DOI]

IEEE Netw., 2021

Multihop Weibull-fading communications: Performance analysis framework and applications.

[BibT_eX]

[DOI]

J. Frankl. Inst., 2021

Power-domain non-orthogonal multiple access based full-duplex one-way wireless relaying network.

[BibT_eX]

[DOI]

Volkan Ozduran

Nurul Huda Mahmood

Trans. Emerg. Telecommun. Technol., 2021

Zero-touch Continuous Network Slicing Control via Scalable Actor-Critic Learning.

[BibT_eX]

[DOI]

CoRR, 2021

5G experimentation environment for third party media services: the 5GMediaHUB project.

[BibT_eX]

[DOI]

Apostolos Siokis

Kostas Ramantas

George Margetis

Constantine Stephanidis

Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2021

MonB5G: AI/ML-Capable Distributed Orchestration and Management Framework for Network Slices.

[BibT_eX]

[DOI]

Slawomir Kuklinski

Robert Kolakowski

Lechoslaw Tomaszewski

Luis Sanabria-Russo

Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2021

Actor-Critic-Based Learning for Zero-touch Joint Resource and Energy Control in Network Slicing.

[BibT_eX]

[DOI]

Loizos Christofi

Proceedings of the ICC 2021, 2021

CDF-Aware Federated Learning for Low SLA Violations in Beyond 5G Network Slicing.

[BibT_eX]

[DOI]

Luis Blanco

Proceedings of the ICC 2021, 2021

A Collaborative Statistical Actor-Critic Learning Approach for 6G Network Slicing Control.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2021

Entropy-Driven Stochastic Policy for Fast Federated Learning in Beyond 5G Edge-RAN.

[BibT_eX]

[DOI]

Brahim Aamer

Proceedings of the IEEE Global Communications Conference, 2021

2020

Big Data for 5G Intelligent Network Slicing Management.

[BibT_eX]

[DOI]

IEEE Netw., 2020

Offline SLA-Constrained Deep Learning for 5G Networks Reliable and Dynamic End-to-End Slicing.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2020

OPEX-Limited 5G RAN Slicing: an Over-Dataset Constrained Deep Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Continuous Multi-objective Zero-touch Network Slicing via Twin Delayed DDPG and OpenAI Gym.

[BibT_eX]

[DOI]

Luis Alonso

Proceedings of the IEEE Global Communications Conference, 2020

2019

Rician ${K}$ -Factor-Based Analysis of XLOS Service Probability in 5G Outdoor Ultra-Dense Networks.

[BibT_eX]

[DOI]

Mohamed-Slim Alouini

IEEE Wirel. Commun. Lett., 2019

On Physical Layer Security Over Fox's H-Function Wiretap Fading Channels.

[BibT_eX]

[DOI]

Long Kong

Georges Kaddoum

IEEE Trans. Veh. Technol., 2019

Self-Tuning Spectral Clustering for Adaptive Tracking Areas Design in 5G Ultra-Dense Networks.

[BibT_eX]

[DOI]

Mérouane Debbah

Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

Classification Algorithms for Semi-Blind Uplink/Downlink Decoupling in Sub-6 GHz/mmWave 5G Networks.

[BibT_eX]

[DOI]

Mérouane Debbah

Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019

2017

Energy-efficient multihop schemes over Weibull-fading channels: Performance analysis and optimization.

[BibT_eX]

[DOI]

Abdelaziz Soulimani

Proceedings of the 13th International Wireless Communications and Mobile Computing Conference, 2017

2016

Performance Analysis of Project-and-Forward Relaying in Mixed MIMO-Pinhole and Rayleigh Dual-Hop Channel.

[BibT_eX]

[DOI]

Samir Saoudi

IEEE Commun. Lett., 2016

Performance Analysis of M-QAM Multihop Relaying over mmWave Weibull Fading Channels.

[BibT_eX]

[DOI]

Abdelaziz Soulimani