Apr 22, 2022 · We propose a multi-domain ZSM-based architecture aiming at B5G scenarios where several per-domain CCLs leverage Machine Learning (ML) methods to collaborate in ...
Oct 22, 2024 · End-to-End (E2E) services in beyond 5G (B5G) networks are expected to be built upon resources and services distributed in multi-domain, ...
In this work, we present a ZSM-based architecture with self-healing functionali- ties in multi-domain zero-touch B5G networks. To this end, ML-assisted CCLs are.
Machine Learning-Assisted Closed-Control Loops for Beyond 5G Multi-Domain Zero-Touch Networks. Language: English; Authors: de Sousa, Nathan Franklin Saraiva1 ...
Apr 22, 2022 · ZSM pursues cross-domain automation with minimum human intervention through two main enablers: Closed Control Loop (CCL) and Artificial ...
2021. Machine learning-assisted closed-control loops for beyond 5g multi-domain zero-touch networks. NFS de Sousa, MT Islam, RU Mustafa, DAL Perez, CE ...
Machine Learning-Assisted Closed-Control Loops for Beyond 5G Multi-Domain Zero-Touch Networks. Nathan Franklin Saraiva de Sousa; Md Tariqul Islam; Pedro ...
Machine Learning-Assisted Closed-Control Loops for Beyond 5G Multi-Domain Zero-Touch Networks ... Machine Learning in the management of softwarized networks ...
This research investigates the application of machine learning models to optimise renewable energy systems and contribute to achieving Net Zero emissions ...
This paper presents a comprehensive survey of the applications of the ZSM framework, covering network optimization, traffic monitoring, energy efficiency, and ...
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