Measured dataset for radio map under campus scenario (117mX97m)

The radio map, radio environment map (REM), or RSSI map, 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.

The performance of different REM construction methods should be compared based on the data under realistic scenarios. So we measured the signal strength under campus scenario by a spectrum sensing system. This project includes two datasets as
1) Raw received signal strength: Collecting RSSI data at the sampled positions in the ROI (117mX97m).
2) Constructed REM data: Recovery RSSI data at the unsampled positions and obtain a whole REM

The dataset has been applied and validated 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]. Y. Zhao, et al. Temporal prediction for spectrum environment maps with moving radiation sources, IET Communications, vol. 17, no. 5, pp. 538–548, 2023.
[3] J. Wang, et al., “Sparse Bayesian Learning-Based 3D Radio Environment Map Construction—Sampling Optimization, Scenario-Dependent Dictionary Construction and Sparse Recovery,” IEEE Transactions on Cognitive Communications and Networking, vol.10, pp.80-93, Feb. 2024.
[4]. J. Wang, ea al. Sparse Bayesian Learning-Based Hierarchical Construction for 3D Radio Environment Maps Incorporating Channel Shadowing, IEEE Transactions on Wireless Communications, IEEE Transactions on Wireless Communications, 2024, vol.23, no.10, pp.14560-14574, Oct. 2024.
[5] Yang Huang, et al. Space-Based Electromagnetic Spectrum Sensing and Situation Awareness. Space Sci Technol. 2024;4:0109. DOI:10.34133/space.0109
[6]. Q. Gao, et al. Spatial Sensor Layout Optimization for Radio Environment Map Construction, 2024 IEEE Globecom Workshops, 2024, for publication

More details and instrucitons can be found in the guidemanual_measuredCompus_117m_97m.pdf.