Specialized Benchmarking Tools
Our platform provides comprehensive tools to evaluate and compare AI models for LoS/NLoS classification in wireless communication systems.
Channel Characterization
Evaluate model performance across various wireless channel conditions, including different frequencies, environments, and signal characteristics.
Wireless Datasets
Access specialized datasets for wireless communication, including RSSI, channel impulse response, and other wireless-specific features.
Visual Analytics
Interactive visualizations to analyze model performance across different wireless scenarios and identify areas for improvement.
Top Performing Models
Discover the best performing models in wireless communication systems
| Model | Overall Acc. Pts | # Parameters | Latency/Sample | Actions |
|---|---|---|---|---|
WiFo-small PKU |
95.99 |
3.21M
|
0.066 ms | |
WiFo-base PKU |
95.8 |
12.7M
|
0.121 ms | |
CNN-base Baseline |
95.54 |
2.42M
|
0.295 ms |
Wireless Communication Datasets
Access specialized datasets for training and evaluating LoS/NLoS classification models in wireless communication systems
5G NR Channel Sounding
A dataset containing channel sounding measurements from 5G NR systems in urban and suburban environments.
WiFi RSSI Dataset
Received Signal Strength Indicator (RSSI) measurements from WiFi networks in indoor environments with labeled LoS/NLoS scenarios.
UWB Channel Dataset
Ultra-Wideband (UWB) channel impulse response measurements in various indoor and outdoor environments.
Ready to Benchmark Your Wireless AI Models?
Join thousands of wireless communication researchers and engineers who trust our platform to evaluate and compare their LoS/NLoS classification models.