README.txt Dataset Title: Time Series of Cell-Level Interference and Base Station Positions from System-Level Simulator Project: 6G-GRADA: Graph Analytics for Self-Organizing 6G Cellular Systems Based on Drones Description: This dataset contains time series data representing cell-level interference generated from a dynamic system-level mobile network simulator. The data captures the temporal evolution of interference conditions across multiple cells under different simulated network scenarios. In addition, the dataset includes a file containing the spatial positions of the simulated base stations. These positions are provided as Cartesian coordinates (x, y) in kilometers, enabling spatial analysis and reproducibility of the simulation setup. Contents: - Interference time series dataset(s) stored in .pkl format - Base station positions file (x, y coordinates in km and azimut in degrees) Data Format: - Numerical data: .pkl - Position data: .pkl Each interference dataset includes: - Time index or timestamp - Cell identifier - Cell load (%) - Interference values (mW) The base station file includes: - Base station ID - X coordinate (km) - Y coordinate (km) - Azimut (Degrees) Methodology: The data was generated using a dynamic system-level simulator designed to emulate realistic mobile network behavior. The simulator models multiple cells, radio conditions, and network dynamics to produce time-varying interference measurements. Base station positions were defined within the simulation environment and exported for analysis and reproducibility purposes. Intended Use: This dataset is intended for: - Analysis of interference patterns in cellular networks - Graph-based modeling of network behavior - Development and validation of self-organizing network algorithms - Research in 5G/6G systems and network optimization Software Requirements: To read and process the data, the following tools are recommended: - Python (>=3.x) - Libraries: pandas, pyarrow - Any software capable of reading .pkl files Data Volume: The dataset size may vary depending on the number of simulation runs and cells included. Authors: 6G-GRADA Research Team Date: 04/05/2026