This tutorial shows you how to import and analyze measured data in Overture. Overture
only supports basic visualization and analysis of measured data, and there are more
sophisticated solutions available for detailed analysis from companies such as
Xceed or
Actix.
Installation
Overture does not require a license for many simple visualization and analysis tasks.
Overture can be installed from the product page or by simply clicking on the installation
button below:
A simple extension module has been created to support some of the tasks that are
specific to measured data analysis, and this module can be installed by clicking
here:
For more information about installing and using Overture, please consult our
installation guide.
Using the Measured Data Module
Wider Network's mission is to build high quality, low cost wireless scanners for
the cellular and PCS industry.
For more information about Wider Network's and their WIND drive test solution, please
see
their website.
The Measure Data Module was developed in consultation with Wider
Networks and this tutorial is based around data in their format.
Importing Measured Data
Overture supports the import of point data in multiple GIS formats. Data collected
from drive tests is typically a series of signal measurements with time and location
information. The most common format for this data is a simple text file where the
data columns are delimited by a comma or tab character, generically known as Commas
Separated Values or CSVs.
Many drive test files are in proprietary, binary formats that are not supported
directly by Overture. To use data in this format, it must first be exported as a
text file. The ability to deal with data in its native format is one differentiating
feature of the dedicated measured data tools mentioned above.
Wider Network's WIND raw data is in a binary format, but this data is post-processed
to produce high accuracy signal information and server resolution. This post-processed
data is in text format and can easily be imported into Overture. During post-processing,
this data can be "binned" to average out local signal variations and reduce the
size of the data file. This binned data is the recommended import format for Overture.
To import a Wider Networks data file, follow
these instructions
on point data import for a Spreadsheet Point Provider. The
data file may not have an extension that is recognized by Overture, in which case,
change the file dialog filter to All Files (*.*). The
X Column and Y Column properties
should be set to point to Lon and Lat respectively as shown below:
The data should now be visible on the
map and in the
data browser.
Pilot Pollution Analysis
The Measured Data Module adds a simple way of checking for pilot pollution in measured
data streams. This is implemented as a point provider called Pilot Pollution Points,
and can be added to the project by adding a new point map (as before) and adding
a new point provider as follows:
Set the Signal Provider property to point
at the drive test file, and set the Server Column
and Signal Column properties to point at
Sector_Code and RSCP for UMTS streams or Sector Code and SL
for GSM streams.
There should now be two point maps in the project, one showing the original drive
test and the other showing the locations with pilot pollution. To see the level
of pollution, set the Selected Column to
Count...
...and adjust the Numerical Key / Color Value Definitions
to show the severity of the pollution like this...
Now the map should show locations that meet the pilot pollution criteria as shown
here:
Also, both point data providers can be inspected using the
Data Browser:
Importing Cell Database from Wider Networks
Overture can import the cell database in Wider Networks format using a dedicated
network importer that is only available in the Measured Data Module. To import the
cell database, go to the
Start Page
and through to the Network and Import sub-pages and press the
Add a new component button:
Then select the "Wider Networks Importer" component:
Now point the Import File Name property at
the network database file and press the Import
action button on the toolbar. The technology (UMTS or GSM) is automatically determined
and all of the data columns are imported into Overture. Columns like azimuth and
downtilt are mapped to their Overture equivalents and columns like MCC and MNC are
encapsulated in Flags.
To browse the imported network data, open the Site, Radio, and Sector
Tables.
Exporting Cell Database to Wider Networks
If any modifications have been made to the network data, it can be exported in Wider
Networks format by adding a "Wider Networks Exporter" from the menu option.
Pilot Pollution Server Resolution
If the network database is concurrent with the drive test data, it can be used to
better resolve pilot pollution issues. For every point with pilot pollution, the
server and interferer cell ID is recorded and can be matched to cells in the project.
This is enabled by default, but can be controlled with the
Resolve Servers property of the pilot pollution point provider. Setting
this property to false treats all cell IDs as simple strings, which cannot
be navigated in results tables. This is useful where the network database is incomplete
or absent.
The easiest way to see the effect of server resolution is to create a statistic.
Add a Statistic
Data Provider for Points and configure it as shown below:
Then create a new Statistic
that uses this data provider by going to and adding a new component:
Edit the data providers of this new statistic to include the pilot pollution statistic
data provider that was created previously:
When the statistic is ready, press the Calculate action button to generate the results
table. This will count the number of points with pilot pollution and group them
by worst interferer like this:
Sorting the last column in descending order shows the
worst interfering sectors first:
Because the server resolution option was active, selections made in this table will
be reflected in other
tables and the map. Double clicking on a sector name takes the map to that
sector, making it easy to identify poorly configured sectors.