XFreq-GS: Cross-Frequency Wireless Radiation Field Reconstruction with 3D Gaussian Splatting

TL;DR

XFreq-GS introduces a novel 3D Gaussian splatting framework capable of reconstructing and synthesizing wireless radiation fields across multiple frequencies, enhancing accuracy and generalization in complex environments.

Contribution

It extends 3D Gaussian Splatting methods to handle cross-frequency wireless channel modeling with shared geometry and adaptive RF attributes.

Findings

Outperforms existing 3DGS methods in PAS synthesis.

Achieves superior cross-frequency generalization.

Demonstrates effective WRF reconstruction across multiple frequencies.

Abstract

Channel modeling is fundamental to the analysis, design, and optimization of wireless communication systems, which, however, accurate wireless channel modeling remains challenging, especially given the increasingly complex wireless environments. As an emerging paradigm, 3D Gaussian Splatting (3DGS)-based channel modeling methods achieve accurate wireless radiation field (WRF) reconstruction and high-fidelity spatial spectrum synthesis. However, existing works only consider a single carrier frequency and fail to adapt to wide-range cross-frequency channels. To address this challenge, we propose XFreq-GS, a cross-frequency Gaussian splatting framework for WRF reconstruction. It employs 3D Gaussian primitives with shared geometry and frequency-adaptive radio frequency (RF) attributes to reconstruct cross-frequency WRF, and synthesizes power angular spectrum (PAS) maps for wireless channel modeling. Experiments show that XFreq-GS outperforms state-of-the-art 3DGS-based methods in PAS synthesis and achieves superior cross-frequency generalization. Code is available at https://github.com/KINGAZ1019/XFreq-GS.