Channel Correlation Matrix Extrapolation Based on Roughness Calibration of Scatterers

To estimate the channel correlation matrix (CCM) in areas where channel information cannot be collected in advance, this paper proposes a way to spatially extrapolate CCM based on the calibration of the surface roughness parameters of scatterers in the propagation scene. We calibrate the roughness parameters of scene scatters based on CCM data in some specific areas. From these calibrated roughness parameters, we are able to generate a good prediction of the CCM for any other area in the scene by performing ray tracing. Simulation results show that the channel extrapolation method proposed in this paper can effectively realize the extrapolation of the CCM between different areas in frequency domain, or even from one domain to another.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/icct62411.2024.10946384
Citations
1
Primary Topic
Surface Roughness and Optical Measurements
Type
article
Field-Weighted Citation Impact
0.37

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article

Channel Correlation Matrix Extrapolation Based on Roughness Calibration of Scatterers

Xiujun Zhang, Xiaofeng Zhong, Heling Zhang, Shidong Zhou
1 citations
Surface Roughness and Optical Measurements
0.37
article

Channel Correlation Matrix Extrapolation Based on Roughness Calibration of Scatterers

Xiujun Zhang, Xiaofeng Zhong, Heling Zhang, Shidong Zhou
article en
1 citations

Abstract

To estimate the channel correlation matrix (CCM) in areas where channel information cannot be collected in advance, this paper proposes a way to spatially extrapolate CCM based on the calibration of the surface roughness parameters of scatterers in the propagation scene. We calibrate the roughness parameters of scene scatters based on CCM data in some specific areas. From these calibrated roughness parameters, we are able to generate a good prediction of the CCM for any other area in the scene by performing ray tracing. Simulation results show that the channel extrapolation method proposed in this paper can effectively realize the extrapolation of the CCM between different areas in frequency domain, or even from one domain to another.

Center for Information Technology (US), Tsinghua University (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 39%
Surface Roughness and Optical Measurements
0.37
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