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Book Open access Oct 2026

WiP: TWINERGY - Towards Deployable Cell Shutdown with Network Digital Twins

Cell shutdown is a critical mechanism for reducing mobile network energy consumption, but optimizing it remains difficult in practice. Live trial-and-error can overload cells and degrade service; currently deployed threshold-based policies are interpretable but hard to optimize at scale. This paper presents Twinergy, w...

Yi-Bo Ma, Tian-Xin Wang, Hao-Ye Chai et al. · 0 citations
Book Open access Nov 2026

TWINERGY: Digital Twin Empowered Practical Energy Saving in Heterogeneous Mobile Networks

Twinergy, a digital twin-empowered framework for practical cell shutdown at scale, and Cable, a multi-agent reinforcement learning framework with shared policies, causal graph-based spatio-temporal encoding, and credit-guided cooperative learning are proposed.

Yi-Bo Ma, Tian-Xin Wang, Hao-Ye Chai et al. · 0 citations

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