RIS-Assisted UAV Network Architecture and Optimization

System architecture data for a Reconfigurable Intelligent Surface (RIS)-assisted Unmanned Aerial Vehicle (UAV) communication network. The dataset, shared by author M. Rudra Kumar in March 2026, focuses on enhancing Terahertz communications and UAV positioning to improve propagation conditions and achieve high data rates.

Use Cases

• Model achievable data rate improvements by analyzing the interaction between Reconfigurable Intelligent Surface configurations and UAV positioning within the network.
• Optimize UAV deployment and coordination strategies to mitigate severe path loss in Terahertz-enabled wireless networks.
• Simulate and validate the proposed system architecture for next-generation wireless networks supporting ultra-high data rates.

Strengths

• Architecture is designed to address specific technical challenges like severe path loss and high sensitivity in Terahertz communications.
• Includes concepts for UAV optimization, coordination, and assisted positioning to improve propagation conditions.
• Shared under a permissive CC BY 4.0 license, allowing for wide reuse and modification.

Limitations

• The dataset is very small at 81.0 KB, indicating limited scope, likely containing architectural diagrams or a paper rather than extensive simulation or experimental data.
• No tabular data, column names, or sample data are available, limiting its direct use for quantitative machine learning tasks.
• The description lacks concrete metrics like simulation results, performance benchmarks, or network scale, making validation difficult.

Provenance

Source

figshare, authored by M. Rudra Kumar.

Freshness

Last updated in March 2026.