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Digital Twin Enhanced Channel Twin for AI-Native CSI Inference

To reduce computational costs of obtaining channel state information in 5G NR networks, three approaches are studied within a calibrated 3D digital twin: generalizing the channel twin, enhancing performance with a neural receiver, and a data-driven interpolation framework for scalability. The goal is to meet strict microsecond latency budgets of OFDM symbols.

Why it matters

The work demonstrates using digital twins to accelerate inference in telecom infrastructure, resonating with large-scale system modeling tasks.

Relevant to DT products

Original headline
Digital Twin Enhanced Channel Twin for AI-Native CSI Inference: Generalizability and Scalability
Read the original: arXiv API — полнотекстовый поиск "digital twin"

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