( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
5G experimentation environment for third party media services: the 5GMediaHUB project.

, , , , , , , , , , и . MeditCom, стр. 1-6. IEEE, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Azeddine Chergui

Hatim Chahdi

Majed Chergui

Meriyem Chergui

Hatim Haddad

 

Другие публикации лиц с тем же именем

Actor-Critic-Based Learning for Zero-touch Joint Resource and Energy Control in Network Slicing., , , и . ICC, стр. 1-6. IEEE, (2021)Explanation-Guided Deep Reinforcement Learning for Trustworthy 6G RAN Slicing., , и . ICC Workshops, стр. 1026-1031. IEEE, (2023)MonB5G: AI/ML-Capable Distributed Orchestration and Management Framework for Network Slices., , , , , , , , , и 2 other автор(ы). MeditCom, стр. 29-34. IEEE, (2021)CDF-Aware Federated Learning for Low SLA Violations in Beyond 5G Network Slicing., , и . ICC, стр. 1-6. IEEE, (2021)Zero-Touch AI-Driven Distributed Management for Energy-Efficient 6G Massive Network Slicing., , , , , , и . IEEE Netw., 35 (6): 43-49 (2021)On Physical Layer Security Over Fox's H-Function Wiretap Fading Channels., , и . IEEE Trans. Vehicular Technology, 68 (7): 6608-6621 (2019)Federated Machine Reasoning for Resource Provisioning in 6G O-RAN., , , и . CoRR, (2024)Toward Bridging the FL Performance-Explainability Tradeoff: A Trustworthy 6G RAN Slicing Use-Case., , и . IEEE Trans. Veh. Technol., 73 (7): 10529-10538 (июля 2024)Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing., , , и . ICC, стр. 1238-1243. IEEE, (2023)Clustering-Enabled Tracking Areas Design for Beyond-5G Networks: A Live Network Demo., , и . IWCMC, стр. 375-379. IEEE, (2023)