GeoGS-CE: 3D Gaussian Channel Estimation for High-Mobility Wireless
A research paper on arXiv proposes GeoGS-CE, a two-stage channel estimation framework for high-mobility wireless scenarios like high-speed railways. The method leverages delay-beam power spectrum stability and geometric information from scheduled trajectories. In an offline stage, it jointly models a scene-level 3D Gaussian representation for non-line-of-sight scattering and a leakage-aware differential model. The approach aims to improve wideband channel estimation with sparse pilots, addressing rapid channel variations in dense user environments.
Key facts
- GeoGS-CE is a two-stage channel estimation framework
- Targets high-mobility scenarios such as high-speed railways
- Uses delay-beam power spectrum that is more stable than instantaneous CFR
- Offline stage models 3D Gaussian representation for NLoS scattering
- Also includes a leakage-aware differential model
- Aims to improve wideband channel estimation with sparse pilots
- Published on arXiv with ID 2605.16094
- Addresses rapid channel variations in dense user environments
Entities
Institutions
- arXiv