To increase the accuracy of the prediction, the land usage (forest,
open
area, suburban, urban, dense urban, traffic,...) at can be considered.
The land usage can influence at the
location of the mobile station (depending on the selected
prediction model)
- a specific additional loss at the receiver
pixel (depending on the land usage at the location of the mobile
station). InWinProp this loss loss can be defined frequency dependent,
i.e. different losses for different frequency bands.
- the height of
the objects around the mobile
station and the clearance around the
mobile station. Of course height
and/or clearance can be statistically distributed within a specified
range. The height and clearance have a significant influence on the
last diffraction loss before the ray reaches the mobile station.
The
land usage can also influence the propagation between the transmitter and the
receiver:
- the height of
the objects in the land usage
class leads to additional diffractions along the propagation path.
- the ground properties used to compute the
reflection/diffraction/scattering losses can be defined for each land
usage class.
