Fig.1: The D2 network - a cellular network
2. MICROCELL PLANNING
Due to the growth of the subscribers of the D2 network, the
resulting high traffic load and the use of low performance
mobile phones, the network must continuously adjusted.
One possibility to expand the capacity, that means more
subscribers are able to set up calls at the same time, is the
introduction of smaller cells with their own BTS. The
capacity (Erlang/km?) is proportional to the number of cells
within a specified area.
However, the growing number of cells (and BTS) leads to a
problem. Each BTS uses a specified frequency for the
connection to and from the mobile. However, the number of
available frequencies is limited, therefore each frequency
must be used as often as possible. On the other hand the
same frequencies sent from different BTS 's may not
disturb each other to avoid interference problems and
dropped calls. Therefore the knowledge of the topography
is very important.
Especially in the major cities the topographic data (100 m
by 100 m pixelsize) which has been used up to now is no
longer sufficient. In order to plan optimized coverage and
capacity precise digital data of the terrain elevation,
including the location and the height of the buildings (city
structure data) is currently needed. The knowledge of city
structures is a requirement for the planning of further
antenna locations for the so-called microcells. The height
above ground of these antennas will not project
neighbouring buildings and the coverage performance of a
microcell will be within a radius of about one kilometer and
less.
For modelling the urban areas, sophisticated fieldstrength
798
propagation models have been developed. Mannesmann
Mobilfunk is using the so-called 3D-Urban-Micro-Model
(Cichon et al., 1993) describing multipath wave propagation
by three components (Vertical Plane, Transversal Plane
Model and Multipath Scattering Model). These models
calculate the propagation loss for over-roof-top
propagation, propagation through street canyons and
propagation via reflectiong walls of buildings. The
computer-aided planning software bases on the use of
precise raster data, i.e. building data.
2.1 Demands on the data
A 3D building dataset includes a geocoded height
representation of a city surface. The height representation
includes the terrain and also the buildings. The modelling
of the terrain surface can be considered as sufficiently
precise or can evaluated during the measurement.
Therefore the greatest attention must be given to the
generation of the buildings. The following main questions
must be answered in advance:
- Which areas are important (dense urban, urban, dense
suburban, suburban) ?
- in which horizontal accuracy the buildings must be
evaluated and what pixel size is sufficient ?
- in which vertical accuracy the buildings must be
evaluated, in relation to the points of support and in
relation to different heights within a building ?
- how should irregular shaped buildings be handled ?
- at which height above ground a building must be
evaluated ?
- at which size a building must be evaluated - in other
words, are isolated buildings necessary or are rows of
buildings sufficient ?
- js it necessary to generate the different shapes of the
roofs, gables, projections, front attributes, passages
and if so, how can they be stored ?
- js it necessary to also take into account precise
information about single trees or line of trees, and how
this information can be stored ?
- which methods can be used for the generation, what
are the advantages and disadvantages ?
2.2 Methods
For the generation of the microcell planning data several
methods are available in theory. The methods must be
considered with respect to:
- up-to-dateness
- accuracy
- rights
- costs
- controlling and updating
- availability
- degree of specification (detail of buildings)
- homogeneity
- reliability
In addition the data must be generated or transformed in
the same coordinate system as other data used at
Mannesmann. This means Gauss-Kruger coordinates with
Bessel ellipsoid and Potsdam datum, which must be
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B4. Vienna 1996
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