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

, , , , , , and . IEEE Netw., 35 (6): 43-49 (2021)

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Explanation-Guided Deep Reinforcement Learning for Trustworthy 6G RAN Slicing., , and . ICC Workshops, page 1026-1031. IEEE, (2023)Actor-Critic-Based Learning for Zero-touch Joint Resource and Energy Control in Network Slicing., , , and . ICC, page 1-6. IEEE, (2021)MonB5G: AI/ML-Capable Distributed Orchestration and Management Framework for Network Slices., , , , , , , , , and 2 other author(s). MeditCom, page 29-34. IEEE, (2021)On Physical Layer Security Over Fox's H-Function Wiretap Fading Channels., , and . IEEE Trans. Vehicular Technology, 68 (7): 6608-6621 (2019)CDF-Aware Federated Learning for Low SLA Violations in Beyond 5G Network Slicing., , and . ICC, page 1-6. IEEE, (2021)Zero-Touch AI-Driven Distributed Management for Energy-Efficient 6G Massive Network Slicing., , , , , , and . IEEE Netw., 35 (6): 43-49 (2021)Federated Machine Reasoning for Resource Provisioning in 6G O-RAN., , , and . CoRR, (2024)Toward Bridging the FL Performance-Explainability Tradeoff: A Trustworthy 6G RAN Slicing Use-Case., , and . IEEE Trans. Veh. Technol., 73 (7): 10529-10538 (July 2024)Rician $K$ -Factor-Based Analysis of XLOS Service Probability in 5G Outdoor Ultra-Dense Networks., , and . IEEE Wirel. Commun. Lett., 8 (2): 428-431 (2019)A Cloud Native SLA-Driven Stochastic Federated Learning Policy for 6G Zero-Touch Network Slicing., , , and . ICC, page 4269-4274. IEEE, (2022)