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Modular O-RAN digital twin for closed-loop xApp/rApp experiments
US & West ·
ONDT is a modular, virtualized, cloud-native experimentation framework for O-RAN introduced within the SUNRISE-6G project. It automates rApp/xApp onboarding, RAN scenario configuration, KPM collection and closed-loop control validation, letting AI/ML control algorithms be tested without the risks and costs of live networks.
Why it matters
Shows how a telecom-infrastructure digital twin lowers the risk and cost of validating automated network control algorithms.
arXiv:2610.31864v1 Announce Type: new Abstract: Existing stealthy attacks presuppose white- or grey-box access to the target system, unrealistic in practice. This paper develops a model-free stealthy attack framework that learns an attack policy directly from nominal measurement data, without…
Wireless digital twins (DTs) are increasingly integrated with artificial intelligence to support online modeling, prediction, and network optimization. However, most existing approaches perform adaptation within predefined learning or optimization structures, which may become unsuitable when…