Indoor Environments Reconstruction and Channel Prediction based on LiDAR and Ray-tracing

At present, the demand for indoor communication is constantly increasing. To meet the demand and improve the quality of service, it is necessary to optimize network coverage, but traditional methods are often complex and inaccurate. In this paper, a more accurate model is created using automatic vehicle routine onboard radar technology and ray tracing simulation, the reconstruction of a three-dimensional STL model is carried out and the electromagnetic calculation of rt simulation is imported to accurately predict the coverage of the signal. The experimental results show that this method achieves higher prediction accuracy and reduces the complexity of modeling. It provides reliable technical support for the deployment requirements of indoor wireless networks.