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

Area of Science:

• Wireless communication
• Electromagnetics
• Data science

Background:

• Spectrum Environment Maps (SEMs) are vital for characterizing spatial-temporal signal strength in dynamic 3D environments.
• Existing SEM datasets support applications like spectrum mapping and resource management.
• Understanding received signal strength (RSS) in urban settings is crucial for network performance.

Purpose of the Study:

• To present a novel simulated spectrum strength dataset for 3D dynamic built-up scenarios.
• To facilitate research into RSS distribution and the impact of moving radiation sources on SEMs.
• To provide a foundation for advanced applications such as SEM completion and network optimization.

Main Methods:

• A ray-tracing simulation was employed to generate the dataset.
• The simulation modeled a 3D dynamic built-up environment with multiple radiation sources.
• Data was collected at various heights (2m, 25m, 50m, 80m) over a 600-second period.

Main Results:

• A comprehensive 600-second dynamic SEM dataset was generated.
• The dataset is stored as a 250x250x600 tensor in a .mat file.
• The simulation captured the spatial-temporal variations of spectrum strength.

Conclusions:

• The simulated dataset is essential for exploring RSS distribution in built-up areas.
• It clarifies the influence of radiation source movement on SEMs.
• The dataset supports advancements in SEM completion, source localization, channel modeling, and network optimization.