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超大规模MIMO阵列可视区域空间分布数据集

高锐锋 苗艳春 陈颖 王珏 张军 韩瑜 金石

高锐锋, 苗艳春, 陈颖, 王珏, 张军, 韩瑜, 金石. 超大规模MIMO阵列可视区域空间分布数据集[J]. 电子与信息学报. doi: 10.11999/JEIT231273
引用本文: 高锐锋, 苗艳春, 陈颖, 王珏, 张军, 韩瑜, 金石. 超大规模MIMO阵列可视区域空间分布数据集[J]. 电子与信息学报. doi: 10.11999/JEIT231273
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

超大规模MIMO阵列可视区域空间分布数据集

doi: 10.11999/JEIT231273
基金项目: 国家自然科学基金 (62001254, 62171240);江苏省高校自然科学基金 (22KJB510039)
详细信息
    作者简介:

    高锐锋:男,副教授,研究方向为无线通信、智能信息处理等

    苗艳春:女,硕士生,研究方向为智能通信

    陈颖:女,硕士生,研究方向为智能通信

    王珏:男,副教授,研究方向为MIMO 系统及超大规模 MIMO 系统等

    张军:男,教授,研究方向为大规模MIMO、人工智能通信等

    韩瑜:女,副研究员,研究方向为超大规模MIMO、可见区域等

    金石:男,教授,研究方向为6G移动通信理论与关键技术研究等

    通讯作者:

    王珏 wangjue@ntu.edu.cn

  • 中图分类号: TN929.5

Visibility Region Spatial Distribution Dataset for XL-MIMO Arrays

Funds: The National Natural Science Foundation of China (62001254, 61771264), The Natural Science Foundation of Jiangsu Provincial Universities (22KJB510039)
  • 摘要: 可视区域(VR)信息可用于降低超大规模多输入多输出(XL-MIMO)系统传输设计复杂度,但现有理论分析与传输设计多基于简化的VR统计分布模型。为评估分析XL-MIMO在实际物理传播场景中的性能,该文公开了XL-MIMO阵列VR空间分布数据集,其由环境参数设置、射线追踪仿真、天线场强数据预处理和VR判定准则等步骤构建。该数据集针对典型城区无线传播场景,建立了用户位置采样与场强数据、VR数据之间的关联,总数据条目数量达上亿级。进一步对其中VR形态、VR分布进行了可视化展示与分析,并以基于VR的XL-MIMO用户接入协议为例,利用该数据集对其在真实传播场景中的性能进行了仿真,为该数据集的应用提供了典型样例。
  • 图  1  VRD构建整体流程图

    图  2  实际3维城区场景以及采用射线追踪技术仿真得到的部分天线场强数据图

    图  3  所选用户位置示例

    图  4  两站点天线场强图

    图  5  site2不同VR判定准则下的VR示意图

    图  6  site2能量集中度80%时两种准则下的VR天线/子阵列数量分布图

    图  7  site2不同VR判定准则下的VR分布图

    图  8  两种随机接入协议的接入性能在所公布VRD下的仿真比较

    表  1  仿真参数设置

    参数参数设置
    站点位置场景内最高建筑物表面,site1:150 m, site2:50 m
    天线类型及详细参数每个站点200根天线(10×20),天线间距3 m,全向天线,频率4800 MHz,发送功率1 W
    天线序号site1:011-210,site2:20011-20210
    场强空间分辨率1 m
    用户高度高度统一为1.5 m
    传播模型智能射线追踪
    下载: 导出CSV

    1  天线能量集中度VR判定算法

     输入:用户位置j天线场强数据$ {d_j}\left[ i \right] $,其中i表示天线标号;能量集中度P;初始化VR集合Sj为空;天线总数Nt
     输出:用户j的VR集合Sj
     1 计算用户j所在位置的场强和:${F^j} = \sum\nolimits_{i = 1}^{{N_t}} {{d_j}\left[ i \right]} $;
     2 用户j所能接收到的天线阵列上P(%)的能量,即阈值:${F^{j,P}} = {F^j} \times P$;
     3 对数组$ {d_j}\left[ i \right] $按场强降序排序,生成新的2维数组${d'_j}\left[ {i,k} \right]$,其中i表示重新排序后的索引,k表示排序前天线的标号;
     4 for (int t=0; t<=Nt ;t++)
     5  ${sum} = {\text{sum}} + {d'_j}\left[ {i,k} \right]$;
     6  天线k加入集合Sj
     7  if${sum} > {F^{j,P}}$
     8   Break;
     9 返回VR Sj
    下载: 导出CSV

    表  2  数据集汇总表

    数据集类型数据集名称数据集含义数据量
    天线场强空间分布数据集Antenna_site1site1天线场强信息60071000
    Antenna_site2site2天线场强信息60071000
    VRD基于天线能量集中度的VRDS1_Antenna_user_80site1下能量集中度80%的用户位置-天线VR构成信息7702400
    S2_Antenna_user_80site2下能量集中度80%的用户位置-天线VR构成信息3515400
    S1_Antenna_VRsite1峰值下天线VR分布464
    S2_Antenna_VRsite2峰值下天线VR分布279
    基于子阵列能量集中度的VRDAntenna_subarray天线-子阵列映射数据集400
    S1_user_sub_power_80site1下能量集中度80%的用户位置-子阵列VR构成信息547280
    S2_user_sub_power_80site2下能量集中度80%的用户位置-子阵列VR构成信息725660
    S1_Subarray_VRsite1峰值下子阵列VR分布27353
    S2_Subarray_VRsite2峰值下子阵列VR分布36284
    下载: 导出CSV
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出版历程
  • 收稿日期:  2023-11-17
  • 修回日期:  2024-04-30
  • 网络出版日期:  2024-05-15

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