Visibility Region Spatial Distribution Dataset for XL-MIMO Arrays

GAO Ruifeng; MIAO Yanchun; CHEN Ying; WANG Jue; ZHANG Jun; HAN Yu; JIN Shi

doi:10.11999/JEIT231273

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GAO Ruifeng, MIAO Yanchun, CHEN Ying, WANG Jue, ZHANG Jun, HAN Yu, JIN Shi. Visibility Region Spatial Distribution Dataset for XL-MIMO Arrays[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT231273

Citation:

GAO Ruifeng, MIAO Yanchun, CHEN Ying, WANG Jue, ZHANG Jun, HAN Yu, JIN Shi. Visibility Region Spatial Distribution Dataset for XL-MIMO Arrays[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT231273

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Visibility Region Spatial Distribution Dataset for XL-MIMO Arrays

doi: 10.11999/JEIT231273

1.
School of Transportation, Nantong University, Nantong 226019, China
2.
School of Information Science and Technology, Nantong University, Nantong 226019, China
3.
School of Communications and Information Engineering, Nanjing University of Post and Telecommunications, Nanjing 210042, China
4.
National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China

Funds: The National Natural Science Foundation of China (62001254, 61771264), The Natural Science Foundation of Jiangsu Provincial Universities (22KJB510039)

Received Date: 2023-11-17
Rev Recd Date: 2024-04-30

Available Online: 2024-05-15

Abstract

Abstract

The Visibility Region (VR) information can be used to reduce the complexity in transmission design of Extremely Large-scale massive Multiple-Input Multiple-Output (XL-MIMO) systems. Existing theoretical analysis and transmission design are mostly based on simplified VR models. In order to evaluate and analyze the performance of XL-MIMO in realistic propagation scenarios, this paper discloses a VR spatial distribution dataset for XL-MIMO systems, which is constructed by steps including environmental parameter setting, ray tracing simulation, field strength data preprocessing and VR determination. For typical urban scenarios, the dataset establishes the connections between user locations, field strength data, and VR data, with a total number of hundreds of millions of data entries. Furthermore, the VR distribution is visualized and analyzed, and a VR-based XL-MIMO user access protocol is taken as an example usecase, with its performance evaluated with the proposed VR dataset.
- Extremely large-scale massive multiple-input multiple-output,
- Visibility region,
- Ray tracing,
- Energy concentration,
- Subarrays

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References(24)

References

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