Terahertz Communication Data Rates With and Without IRS

25.7 KB of simulation results comparing achievable data rates in bps/Hz for THz communication systems with and without reconfigurable intelligent surfaces (RIS) and UAV coordination. The dataset supports analysis of the proposed RAVP framework's impact on link robustness and user connectivity. It was authored by M. Rudra Kumar and last updated in March 2026.

Use Cases

• Compare achievable data rate metrics between systems with and without RIS/UAV assistance to quantify performance gains.
• Analyze the relationship between THz propagation conditions and data rates to model link robustness.
• Use the data to validate reinforcement learning strategies for user grouping and UAV positioning optimization in wireless networks.
• Benchmark simulation results for RIS-assisted UAV positioning frameworks against conventional THz systems.

Strengths

• Dataset is focused on a specific, novel research area: RIS-UAV coordination for THz communications.
• Clear licensing under CC BY 4.0 facilitates open academic use and sharing.
• Data is recent, with a last update timestamp in March 2026.

Limitations

• The dataset is very small at 25.7 KB, indicating limited scope and likely a small number of data points or simulation runs.
• No column definitions or sample data are provided, making the internal structure and specific metrics unknown.
• Data is derived from simulations, not real-world measurements, which may limit practical applicability.

Provenance

Source

figshare, authored by M. Rudra Kumar.

Collection Method

Simulation results from a proposed reinforcement learning-based RAVP framework.

Freshness

Last updated 2026-03-23.