CASI FY99 Wireless
Information Network PLANning (WINPLAN) Project |
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Sponsored
by CASI (Colorado Advanced
Software Institute)
and Omnipoint Technologies
Goal:
The
proposed research deals with the development of efficient algorithms and
simulation tools for Wireless Information Network Planning and Management.A
software design system called Wireless Information Network Planning (WINPLAN)
will be built to facilitate the design and evolution of wireless information
networks with realistic user traffic modeling, efficient dynamic channel
assignment algorithms, and flexible cell layout tool. The WINPLAN system
will assist the network administrators in their network planning and management
tasks. It will facilitate the network designers to improve the network
efficiency and reliability.
Research
Team:
Principal
Investigator: Prof.
C. Edward Chow
Graduate Research Assistants:
Robert L. Rogers
Xiaolong He
Frank Watson
Chung Nguyen
Catherine Tran
Participating
Company Representative: Dean Angelico,
Omnipoint Technologies
Current
Results:
-
A Java-based
WINMAP tool was built for reading in GIS dem terrain data and Tiger Highway
data, creating the corresponding VRML models, placing antenna in user-specified
location, and generating timed 3D user traffic data along the highway with
certain speed and travelling direction.
-
A C-based
AntennaPlacer tool was built with heuristic and optimal algorithms for
placing the antenna on the VRML models generated by the WINMAP tool.
We consider the desired coverage area in the map and rule out antenna
placement in certain zone using bitmaps.
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A Java-based
Virtual Reality User Traffic Modeling and Simulation Tool was built for
displaying the antenna placement results generated by the AntennaPlacer
using VRML. It is very effective in verifying the results the the
following Figure and VRML files demonstrated. It also animtates the
mobile user traffic across the terrain with a light beam simulating the
antenna assignments. It is very effective in illustrating the handover.
-
This set
of tools can be used for research, education and training purposes.
VUTMOST
and AntennaPlacer Results:
Figure 4-15. VRML for Verifying
Antenna Placement Results
In order to test our AntennaPlacer,
we have created three cone shap mountains with its based shaved into a
square, i.e., the four sides near the foot hill are cliff and can not receive
the signal from the mountain top. With three antennae on the mountain tops,
we found the color patterns correctly match the signal reception condition
in the terrain. We have found VRML very useful in help verifying
the results generated by the AntennaPlacer. To facilitate the
view and understand the orientation, we draw the axis with their label.Click
on the map in Figure 4.15 for the test33.wrl file with animation of mobil
traffic.
Figure
4-16a shows the antenna placement result of pueblo-east area with reduced
200x200 grid points generated by the VUTMOST. The bright gold light small
sticks represent the antenna towers. Figure 4-16b shows the top angle
view of the whole area with a clear picture of the antenna coverage patterns.
There are 231 antennae. Figure 4-16c shows the close up view on the upper
left corner of the map. Click the map of Figure4-16a
for viewing the actual VRML file, Be aware
it is 2.54MB!
Figure 4-16a. Front View
of Antenna Placement Results
Figure 4-16b. Top view of
Antenna Placement Results.
Figure 4-16c. Close UP View
of Antenna Placement Results
Figure 4-17. Mobile Traffic
Animation.
Figure 4-17 shows the mobile
traffic animation in a simple 16x16 area. Click
the map of Figure 4-17 to see the VRML file, 22kB. The ball represents
the mobile user should be gold color and there is a beam connecting the
mobile user to the assigned attenna. There are 4 antennae powers in the
picture. The left side has a tall mountain. The right edge has small
hill. The mobile user traverses diagonally across the 16x16 area. The file
is in out16bmsH3.wrl.
Upcoming
Event:
Status
of the Project:
Phase 1 (Literature Search): Here
are related info:
Previous UCCS Project:
Related articles from INSPEC
search (requesting through UCCS Interlibrary loan):
-
Bringing radio planning out of the back room,
by Turvey, D., Proceedings of Conference on Products and Services Relating
to Geographical Information Systems, Birmingham, UK; 7-9 Oct. 1997.
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Geometrical computation of cell coverage areas
in planning of outdoor urban microcellular systems, by Kishi, Y.;
Mizuike, T.; Watanabe, F., ISAP 1996. Proceedings of the 1996 International
Symposium on Antennas and Propagation, p. 4 vol. (vi+x+vii+x+1292), 597-600
vol.2.
GIS data
GIS Packages
VRML (Virtual Reality Modeling Language)
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Web based 3D modeling tool with DEM support.
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Can interface with Javascript or Java or External
API.
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An excellent tutorial, VRML 97, by Dave Nadeau
at http://vrml.ucsd.edu
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A good text is VRML 2.0 Sourcebook by
Andrea L. Ames, Dave Nadeau, John Moreland.
Cellular Planning Tool
Project Priorities
-
1) Visualization should be emphasized over
simulation model research. It
will be a far more useful tool if we can
swap different models into a
visualization framework. This is not to
imply that simulation models are
not important; just that we will likely
need to be able to select
different models, and the real value that
WINPLAN will bring is in the
area of visualizing the results.
2) Third generation cellular systems will
be heavily reliant upon packet
switching technology. More emphasis should
be placed on packet switching
traffic than simple voice circuits. Both
are important; a hybrid traffic
source should be considered.
3) System capacity and network efficiency
should be emphasized over
customer QoS requirements, primarily because
of the difficulty in
quantifying QoS.
4) Urban models are desirable, but we might
want to start with less
challenging suburban models.
5) MultiPath fading modeling should be
emphasized over power control &
CCI
6) Mobility modeling is more important
than blind spot analysis
7) Studying long term population changes
and their effect on capacity is
not important as part of this tool. PCS
operators usually deploy
relative to very near term population
coverage to maximize revenues.
Besides they will likely be better connected
with developers and zoning
changes than any GIS CD.
Possible WINPLAN designs
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Integrating an existing GIS package with signal
path model and user traffic modeling/simulation tool.
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Extract GIS data as VRML models and integrate
with enhanced Java-based Race win/WINPLAN tools.