Synthetic Wi-Fi Signal Strength Measurements with Obstacles and Distance

180 synthetic measurements of Wi-Fi signal strength (dBm) as a function of distance and obstacles. The dataset was generated by Rehalan, Chirag and published on Harvard Dataverse in June 2026. It covers distances from 1 to 30 meters and obstacles from 0 to 5 walls, incorporating realistic noise variations.

Use Cases

• Regression modeling to predict signal loss based on distance and wall count.
• AI-driven analysis of telecom infrastructure performance in obstructed environments.
• Optimization studies for wireless network planning using synthetic signal data.

Strengths

• Contains 180 rows of synthetic data, providing a controlled experimental basis.
• Explicitly covers a defined range of 1–30 meters and 0–5 walls.
• Includes realistic noise variations, which may improve model generalizability.

Limitations

• Data is synthetic, so its applicability to real-world signal propagation may be limited.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is relatively small at 180, which may limit complex model training.

Provenance

Source

Harvard Dataverse

Collection Method

Synthetically generated.

Freshness

Last updated 2026-06-18 03:48:55; freshness should be verified.