# Measured spectrum environment map dataset with multi-radiation sources in urban scenarios

## TL;DR

This paper introduces a detailed dataset of radio signal strengths in urban areas with multiple radiation sources.

## Contribution

The novelty lies in providing a high-resolution, multi-source urban spectrum dataset for realistic wireless research.

## Key findings

- The dataset covers 30 MHz, 115 MHz, and 2 GHz frequency bands with 1m×1m spatial resolution.
- It captures non-linear propagation characteristics in multi-source urban environments.
- Applications include improving wireless channel models and optimizing network performance.

## Abstract

This paper presents a measured spectrum strength dataset in the urban scenario with multiple radiation sources, aiming to address the limitation of open datasets for spectrum environment map (SEM) in realistic multi-source dynamic scenarios. The dataset was collected through high-precision measurements, covering the 30 MHz, 115 MHz, and 2 GHz frequency bands, with a spatial resolution of 1m×1 m. It includes spectrum strength or received signal strength (RSS) data in dBm for 80×105 grids. Each grid includes the information such as longitude, latitude, altitude, and time. The experiment utilizes three radiation sources with isotropic antennas and a mobile signal receiving system equipped with a spectrum analyzer and a GPS module. It collects data along a pre-defined path at a constant speed. The key feature of this dataset is its realistic representation of nonline ar characteristics of propagation channel in a multi-radiation source coexistence scenario. Its applications include the verification of spectrum map completion algorithms, wireless channel modelling, deep learning-driven signal prediction, and the optimization of Wi-Fi/cellular networks.