Spectrum environment map dataset based on ray-tracer under 3D dynamic built-up scenarios

Spectrum Environment Maps (SEMs) can characterize the spatial-temporal distribution of spectrum strength or received signal strength (RSS) distribution in three-dimensional (3D) dynamic scenarios. Recently, the SEM dataset has laid the foundation for various applications such as spectrum mapping, spectrum resource management. This paper presents a simulated spectrum strength dataset by using a ray-tracer in the 3D dynamic built-up scenario. The scenario considers multiple radiation sources and different heights as 2 m, 25 m, 50 m, and 80 m. The dataset includes a 600-s dynamic spectrum environment map, and the data is stored as a 250 × 250 × 600 tensor in a .mat file. It is crucial for exploring RSS distribution in built-up areas and clarifying the impact of radiation source movement on the SEM. Moreover, it lays a solid foundation for SEM completion, radiation source search, channel modeling, and communication network optimization.

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Publication Details

Journal
Data in Brief
Published
2025-05-18
DOI
https://doi.org/10.1016/j.dib.2025.111677
Primary Topic
Image and Video Quality Assessment
Type
article
Field-Weighted Citation Impact
0.00

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article

Spectrum environment map dataset based on ray-tracer under 3D dynamic built-up scenarios

Yiran Chen, Qiuming Zhu, Zhipeng Lin, Xuan Wang et al.
Data in Brief
Image and Video Quality Assessment
article

Spectrum environment map dataset based on ray-tracer under 3D dynamic built-up scenarios

Yiran Chen, Qiuming Zhu, Zhipeng Lin, Xuan Wang, Xiaohong Chen, Jie Wang, Guochen Gu, Qianhao Gao
article en

Abstract

Spectrum Environment Maps (SEMs) can characterize the spatial-temporal distribution of spectrum strength or received signal strength (RSS) distribution in three-dimensional (3D) dynamic scenarios. Recently, the SEM dataset has laid the foundation for various applications such as spectrum mapping, spectrum resource management. This paper presents a simulated spectrum strength dataset by using a ray-tracer in the 3D dynamic built-up scenario. The scenario considers multiple radiation sources and different heights as 2 m, 25 m, 50 m, and 80 m. The dataset includes a 600-s dynamic spectrum environment map, and the data is stored as a 250 × 250 × 600 tensor in a .mat file. It is crucial for exploring RSS distribution in built-up areas and clarifying the impact of radiation source movement on the SEM. Moreover, it lays a solid foundation for SEM completion, radiation source search, channel modeling, and communication network optimization.

Data in BriefVol. 61
Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China
Sustainable cities and communities
Openalex Percentile: Top 91%
Image and Video Quality Assessment
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Spectrum environment map dataset based on ray-tracer under 3D dynamic built-up scenarios — Yiran Chen, Qiuming Zhu, et al. · Data in Brief (2025) | TGRS Research Map | TGRS