DOI: 10.57760/sciencedb.18626
title: Visibility Region Spatial Distribution Dataset for XL-MIMO Arrays
title: 超大规模MIMO阵列可视区域空间分布数据集

description: Solemnly Declare: when using this data set to publish papers, books and other works, you must formally quote the papers to which this data set belongs: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, 2024, 46(8): 3063-3072. doi: 10.11999/JEIT231273Authors: GAO Ruifeng, MIAO Yanchun, CHEN Ying, WANG Jue, ZHANG Jun, HAN Yu, JIN Shi.Author Unit:(1) School of Transportation, Nantong University(2) School of Information Science and Technology, Nantong University(3) School of Communications and Information Engineering, Nanjing University of Post and Telecommunications(4) National Mobile Communications Research Laboratory, Southeast UniversityCorrespondent: WANG Jue，wangjue@ntu.edu.cnOriginal link：超大规模MIMO阵列可视区域空间分布数据集Funds: The National Natural Science Foundation of China (62171240, 62001254), The Natural Science Foundation of Jiangsu Provincial Universities (22KJB510039)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 being evaluated with the proposed VR dataset.
description: Solemnly Declare: when using this data set to publish papers, books and other works, you must formally quote the papers to which this data set belongs: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, 2024, 46(8): 3063-3072. doi: 10.11999/JEIT231273Authors: GAO Ruifeng, MIAO Yanchun, CHEN Ying, WANG Jue, ZHANG Jun, HAN Yu, JIN Shi.Author Unit:(1) School of Transportation, Nantong University(2) School of Information Science and Technology, Nantong University(3) School of Communications and Information Engineering, Nanjing University of Post and Telecommunications(4) National Mobile Communications Research Laboratory, Southeast UniversityCorrespondent: WANG Jue，wangjue@ntu.edu.cnOriginal link：超大规模MIMO阵列可视区域空间分布数据集Funds: The National Natural Science Foundation of China (62171240, 62001254), The Natural Science Foundation of Jiangsu Provincial Universities (22KJB510039)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 being evaluated with the proposed VR dataset.