# Prediction of Wireless Channel Statistics with Ray Tracing and Uncalibrated Digital Twin

arXiv: https://arxiv.org/abs/2411.13360 · HTML: https://mlsanity.com/paper/2411.13360/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 20 Nov 2024.

## Built on by (most cited first, 2 of 2)

- [Digital Twin-Assisted Measurement Design and Channel Statistics Prediction](https://mlsanity.com/paper/2603.23787/) (2026)
- [Tri-Band Channel Measurement-Enabled Multi-Layer Digital Twin for Terahertz Wireless Data Centers](https://mlsanity.com/paper/2609.01699/) (2026)

## Abstract (arXiv)

We introduce a framework for predicting wireless channel statistics based on digital twin (DT) and ray tracing. The DT is derived from satellite images and is uncalibrated, as it does not assume precise information on the electromagnetic properties of the materials in the environment. The uncalibrated DT is utilized to derive a geometric prior that informs a Gaussian process (GP) and thereby predict channel statistics using only a few measurements. The framework also quantifies uncertainty, offering statistical guarantees for rate selection in ultra-reliable low-latency communication (URLLC). Experimental validation demonstrates the efficacy of the proposed framework using measurement data.