超大规模MIMO阵列可视区域空间分布数据集

Visibility Region Spatial Distribution Dataset for XL-MIMO Arrays

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。

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.