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Aircom ASSET/ENTERPRISE is a radio network planning tool for the
planning and optimization of multi-technology mobile networks. The
ASSET/ENTERPRISE software package includes very simple empirical wave
propagation models which can be used as a basis for the optimization
and planning tasks. But these models are limited in accuracy as
they rely on very simple assumptions.
AWE
Communications offers its deterministic, semi-deterministic and
empirical wave propagation models as plug-in models for
ASSET/ENTERPRISE. To achieve the highest accuracy for macro, micro, and pico
cells, the WinProp plug-in considers simultaneously different types of
databases (topography, clutter, etc.) -
depending on their availability in rural, suburban, and
urban environments as well as inside buildings. So all air
interfaces (2G, 2.5G, 3G, HSPA, LTE, WiMAX), arbitrary
antenna heights, various transmitter types, and all cells in
the whole network can be planned with the WinProp
propagation model.
Prediction with the WinProp plug-in based on clutter data
By using the highly accurate wave propagation models from
AWE Communications within Aircom ASSET/ENTERPRISE the network design
reaches a new quality. This is especially important in dense urban
areas with high traffic volumes where interference issues are very
important.
A free evaluation license together with sample data
(based on the Jersey
example provided by Aircom) is provided by the support team of AWE
Communications.
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The key features
of the WinProp plug-in for rural environments are presented in the following table.
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Support of
all air interfaces: 2G, 2.5G, 3G, HSPA, LTE, WiMAX |
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Frequency
range: 300 MHz to 30 GHz |
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Very short
prediction times |
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Accurate
results (std. dev. less than 8 dB compared to
measurements) |
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Support of
all kinds of map data: Topography, clutter, buildings |
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Auto tuning
with measurements |
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Totally intuitive
and easy configuration of the propagation model possible |
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Online
documentation included |
A complete
description of the WinProp plug-in is available in the
flyer.
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Traditionally for
each clutter class a specific loss is defined. WinProp
allows also the definition of height
and clearance (separation) for each clutter class.
Additionally heights and clearances of clutter classes can
be distributed statistically to make it more realistic. The
following scheme shows both cases, the approach with fixed
height/clearance and the approach with the statistical
distribution (defined by std. dev.).
Comparison of both approaches
An example of a
prediction based on statistically distributed clutter
properties can be found
here. |
