TDMA Time-Slot Allocation for RIS-UAV Enhanced THz Communications

Simulation data for a proposed TDMA time-slot allocation model within a RIS-assisted UAV positioning framework to enhance Terahertz communications. The dataset, created by M. Rudra Kumar and updated in March 2026, contains results from simulations demonstrating gains in link robustness and achievable data rate.

Use Cases

• Analyze achievable data rate improvements from the coordinated RIS-UAV optimization framework.
• Evaluate link robustness metrics under different network configurations simulated in the model.
• Study user connectivity outcomes from the reinforcement learning-based strategy for user grouping and UAV positioning.
• Examine the impact of RIS phase-shift adaptation on propagation conditions in THz networks.

Strengths

• Simulation results demonstrate consistent gains in link robustness, achievable data rate, and user connectivity.
• The dataset is associated with a specific, recent research framework (RAVP) for next-generation 6G networks.
• Available under a permissive CC BY 4.0 license for open use and sharing.

Limitations

• The dataset is very small at 43.6 KB, indicating limited scope and likely a summary of results rather than raw simulation logs.
• No column names or sample data are provided, making the internal structure and specific variables unknown.
• Data is generated from simulation models, not real-world measurements, which may not capture all practical channel effects.

Provenance

Source

figshare, authored by M. Rudra Kumar.

Collection Method

Simulation results from a proposed RIS-assisted UAV positioning (RAVP) framework.

Freshness

Last updated March 2026, indicating it is a forward-dated or planned dataset.