Toward End-to-End Deep Learning for Autonomous Management in Next-Generation Networks
Moura, J.A.
; Santana, P.
Toward End-to-End Deep Learning for Autonomous Management in Next-Generation Networks, Proc The International Conference Ubiquitous and Future Networks , Lisboa, Portugal, Vol. , pp. - , July, 2025.
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Abstract
The evolution towards next-generation of mobile networks demands for autonomous network management, emphasizing data-driven solutions based on Artificial Intelligence (AI), in particular machine learning. To attain such goals, this paper proposes a hybrid end-to-end learning approach that integrates imitation learning, deep reinforcement learning, simulation, domain adaptation, multi-agent cooperation, explainable AI, and generative AI. The work outlines a comprehensive vision for online agent learning about optimum network management policies while ensuring safety, interpretability, and adaptability in highly complex and dynamic use cases at the network periphery.
