Measured Radio Map Dataset (V2.0) with Multi-radiation Sources of Urban Scenarios (80m×105m)

The radio map, or spectrum environment map (SEM), can visualize the information of invisible electromagnetic spectrum, and is vital for monitoring, management, and security of spectrum resources in cognitive radio (CR) networks. It is useful for the abnormal spectral activity detection, radiation source localization, spectrum resource management, etc.
This project presents a measured radio map dataset in the urban scenario with multiple radiation sources, aiming to address the limitation of open datasets for radio map in realistic multi-source dynamic scenarios. We used a spectral signal receiving system to measure the signal intensity of multiple radiation sources in the urban scene. This project includes two datasets as
1) Raw radio map measurement data (30 MHz, 115 MHz, and 2 GHz), in the format of.csv. It includes entries such as longitude, latitude, altitude, start and end frequencies, frequency interval, number of acquisition points, and signal strength.
2) Raw spectrum tensor data (30 MHz, 115 MHz, and 2 GHz), in the format of.mat.

More details about the construction of the spectrum map and dataset can be found in the following references.
[1]. Q. Zhu et al., DEMO Abstract: An UAV-based 3D Spectrum Real-time Mapping System, 2022 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), New York, NY, USA, 2022, pp. 1-2.
[2] J. Wang et al., "Sparse Bayesian Learning-Based Hierarchical Construction for 3D Radio Environment Maps Incorporating Channel Shadowing," in IEEE Transactions on Wireless Communications, vol. 23, no. 10, pp. 14560-14574, Oct. 2024.
[3]. Q. Gao, et al. Time-Variant Radio Map Reconstruction with Optimized Distributed Sensors in Dynamic Spectrum Environments[J]. IEEE Internet of Things Journal, early access, Feb.2025, doi: 10.1109/JIOT.2025.3545542.