Optimization-Driven Dataset for THz-Assisted UAV Deployment in 6G Emergency Communication Networks

This dataset contains optimization-driven UAV deployment scenarios developed for THz-assisted UAV communication in 6G emergency communication networks. The data were generated from an optimization-based deployment framework under realistic THz communication constraints to support research on intelligent UAV deployment and network performance prediction. The dataset consists of 1000 deployment scenarios, each represented by 64 input features and 5 network performance variables. The input features include the deployment parameters of 12 UAV relay nodes, namely the x-coordinate, y-coordinate, altitude, and transmit power of each UAV, together with statistical descriptors extracted from these deployment variables. The output variables include network coverage percentage (CoveragePct), total UAV power consumption (PowerW), network throughput, the Coverage-to-Power Coefficient (CPc), and the number of active UAV relay nodes (ActiveUAVs). This dataset is intended to support research in THz-assisted wireless communications, UAV deployment optimization, optimization-driven machine learning, explainable artificial intelligence (XAI), network coverage prediction, and intelligent 6G communication systems. It is released to facilitate reproducible research and to provide a benchmark dataset for future studies on AI-assisted UAV deployment and network performance evaluation. Version: 1.0 (Initial public release)