A sequential Monte Carlo simulation approach with fixed-level splitting efficiently estimates rare non-recovery probabilities in resilient wireless networks and extends to generative models for digital twins.
Generative AI empowered network digital twins: Architecture, technologies, and applications,
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Sequential Monte Carlo for Resilient Networks: Assessment, Mitigation, and Generative Modeling
A sequential Monte Carlo simulation approach with fixed-level splitting efficiently estimates rare non-recovery probabilities in resilient wireless networks and extends to generative models for digital twins.