Experimental Modeling of Power Attenuation Factor for Characterizing Spatial Non-Stationary in XL-MIMO Channels

Extremely large-scale Multiple-Input Multiple-Output (XL-MIMO) is envisioned as a promising technology for sixth-generation (6G) communication, with the deployment of extremely large-scale antenna arrays at both the transmitter and receiver in XL-MIMO channels resulting in spatial non-stationary (SnS) characteristics. Although numerous channel measurements and models have been proposed focusing on the SnS characteristics of XL-MIMO channels, few low-complexity channel models characterize the characteristics. This paper proposes a low-complexity experimental model based on the power attenuation factor to characterize SnS. In this paper, channel measurements are conducted at 13 GHz in an indoor office. Analysis of the measurement data reveals significant fluctuations in cluster power along the antenna elements due to SnS. The power attenuation factor is used to model the power variations of clusters caused by SnS. The modeling method effectively captures the SnS characteristics. It provides important references for the XL-MIMO channel modeling research and standardization work.

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Published
2025-03-30
DOI
https://doi.org/10.23919/eucap63536.2025.10999186
Citations
1
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.73

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Experimental Modeling of Power Attenuation Factor for Characterizing Spatial Non-Stationary in XL-MIMO Channels

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1 citations
Advanced MIMO Systems Optimization
0.73
article

Experimental Modeling of Power Attenuation Factor for Characterizing Spatial Non-Stationary in XL-MIMO Channels

Pan Tang, Haiyang Miao, Jianhua Zhang, Lei Tian, Jie Meng
article en
1 citations

Abstract

Extremely large-scale Multiple-Input Multiple-Output (XL-MIMO) is envisioned as a promising technology for sixth-generation (6G) communication, with the deployment of extremely large-scale antenna arrays at both the transmitter and receiver in XL-MIMO channels resulting in spatial non-stationary (SnS) characteristics. Although numerous channel measurements and models have been proposed focusing on the SnS characteristics of XL-MIMO channels, few low-complexity channel models characterize the characteristics. This paper proposes a low-complexity experimental model based on the power attenuation factor to characterize SnS. In this paper, channel measurements are conducted at 13 GHz in an indoor office. Analysis of the measurement data reveals significant fluctuations in cluster power along the antenna elements due to SnS. The power attenuation factor is used to model the power variations of clusters caused by SnS. The modeling method effectively captures the SnS characteristics. It provides important references for the XL-MIMO channel modeling research and standardization work.

Beijing University of Posts and Telecommunications (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, National Science Fund for Distinguished Young Scholars
Climate action
Openalex Percentile: Top 28%
Advanced MIMO Systems Optimization
0.73
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