The Urban Propagation Library can be incorporated into QualNet, EXata and NDT models.
The library supports propagation models for:
- Automatic Model Selection
- COST 231-Hata
- COST 231-Walfish-Ikegami (COST-WI)
- Okumura-Hata
- Street Microcell
- Street Mobile-to—Mobile
- Suburban
When the Auto-select option for pathloss model is chosen, QualNet selects appropriate pathloss models based on the node location and urban terrain features. Different path-loss models are used according to their locations with respect to obstacles in the propagation path. QualNet allows selection of different model(s) for each source-destination pair and changes the models dynamically as the node positions change.
The COST 231-Hata propagation model is an empirical model that extends the Hata model to higher frequencies (1500-2000 MHz). It is a outdoor propagation model that is applicable to urban and suburban areas. The model is based on extensive measurement campaigns, and it is valid for flat terrain. The application of the COST-Hata-Model is restricted to situations where node’s antenna height is above roof-top levels adjacent to the node.
- Environment is urban, suburban, or open area
- Frequency is in the range 150-2000 MHz (recommended)
- Antenna height of the base station is in the range 30-200 meters (recommended)
- Antenna height of the mobile station is in the range 1-10 meters (recommended)
- Distance between the base station and mobile station is in the range 1-20 km (recommended)
The COST 231-Hata propagating model is accurate within 1 dB for distances ranging from 1 to 20 km.
The model is capable of distinguishing between man-made structures and provides different formulation for small, medium, or large cities and urban, suburban, or open areas.
The COST 231-WI propagation model is a combination of the Walfisch and Ikegami models. It is an empirical model that is based on different contributions from members of the “COST 231 Subgroup on Propagation Models”. The model allows for improved path-loss estimation by consideration of more data to describe the character of the urban environment and it is applicable to metropolitan centres and urban areas. This model is statistical as no topographical data base of the buildings is considered.