Predictions Models and Databases for Rural Scenarios
Application
Propagation of electromagnetic waves in large areas with only a small
density of buildings should be computed with rural propagation models.
As these models are very flexible they can also be used if no building
data is available in urban environments
Generally, rural propagation models work perfectly if the transmitter
(basestation) is located on a hill (or very tall building/mast) and
there is nearly line of sight (LOS) to most of the receiver locations
(For NLOS scenarios additional correction terms could be used).
This is a typical rural propagation environment.
Propagation Models
WinProp offers a wide variety of propagation models for rural
scenarios. More information about the prediction models for rural
scenarios can be found on the Rural
Propagation Page.
Sample prediction with a rural prediction model.
Click here to read more about the
prediciton models.
Databases
The topography of the scenario has a very strong influence on the
propagation of the electromagnetic waves. Therefore a detailed
topographical database is mandatory for rural propagation models.
Additionally to the topography, the land usage (water, roads,
buildings, forest,...) influences the propagation of electromagnetic
waves. Therefore clutter (morpho) databases can be used optionally to
improve the accuracy of the path loss predictions. Clutter databases
should have the same resolution as the topographical database (or even
finer resolutions). In WinProp the user can define frequency dependent
losses for each clutter class - these clutter dependent losses can be
calibrated automatically with measurements. The clutter classes can
also be used to control the selection of propagation models (e.g.
selection of submodels of Hata-Okumura model) and the electrical
properties of the ground can be defined for each clutter class to
improve the accuracy of the ground reflected ray in the deterministic
two ray model. More information concerning the databases can be found
on the database page.
Topographical database of the Grand Canyon (USA).
Download a brochure
with all rural prediction models.
See a comparison between different rural
prediction models.
