Height Optimization Data for UAV-IRS Signal Strength

41.5 KB dataset from M. Rudra Kumar, last updated in March 2026. It contains data related to optimizing Unmanned Aerial Vehicle (UAV) and Reconfigurable Intelligent Surface (IRS) height for maximizing signal strength in Terahertz communications. The dataset supports research into improving propagation conditions and achieving high data rates in next-generation wireless networks.

Use Cases

• Analyze the relationship between UAV height and achievable data rate to identify optimal deployment altitudes.
• Model signal strength variations using parameters related to severe path loss and high sensitivity in Terahertz bands.
• Simulate UAV-IRS coordination strategies to improve propagation conditions for enabled wireless networks.

Strengths

• Dataset is compact at 41.5 KB, facilitating quick download and initial analysis.
• Released under a permissive CC BY 4.0 license, allowing for broad academic and commercial use.
• Focuses on a specific, emerging research area combining UAVs and Reconfigurable Intelligent Surfaces for Terahertz communications.

Limitations

• The dataset is very small (41.5 KB), indicating limited scope and likely insufficient for training complex machine learning models.
• No column definitions or sample data are provided, making the data structure and specific variables unknown.
• Temporal and geographic coverage of the underlying simulations or measurements is not specified.

Provenance

Source

M. Rudra Kumar via figshare

Collection Method

Likely generated from simulation or analytical models related to the described research.

Freshness

Last updated on 2026-03-23.