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

Description

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.

Steps to reproduce

The measurement area covers a rectangular region of 80m × 105m. Three sets of signal transmission systems are sequentially deployed at the designated positions in the measurement area. The signal strength is collected in real time by a signal receiving system. The signal receiving system traverses the measurement area exhaustively without path repetition, ensuring comprehensive yet non-redundant data collection for precise signal strength mapping. The raw measured signal strength data file format is .csv. The structure of the file is as follows:  Column 1: Unique identifier for each data entry.  Column 2: Data collection task number.  Column 3: Precise timestamp of data reception.  Columns 4–6: Spatial coordinates (longitude, latitude, and altitude in meters).  Columns 7–9: Spectrum scan parameters, including the start frequency, end frequency, and frequency interval.  Column 10: Total number of frequency points within the scanned frequency band.  Column 11: Signal received strength in dBm at various frequency points. The received signal strength data is also provided in three .mat files, which are formatted as 80×105 tensors based on the measured scenarios. These tensors are derived from .csv files corresponding to three specific frequency bands: 30 MHz, 115 MHz, and 2 GHz. Here, x and y represent the spatial grid dimensions, with values of double type, indicating the signal strength in dBm. The file sizes of the data for 30 MHz, 115 MHz and 2 GHz are 18 KB, 15 KB and 18 KB respectively.

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